{"id":"39904cdd-67f4-4d47-ac4a-75d98f7f6021","entityType":"agent","slug":"clawhub-roamer-remote-alcor-capability-evolver","name":"Alcor Capability Evolver","canonicalUrl":"https://www.xpersona.co/agent/clawhub-roamer-remote-alcor-capability-evolver","canonicalPath":"/agent/clawhub-roamer-remote-alcor-capability-evolver","generatedAt":"2026-10-11T08:40:34.154Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T06:21:27.719Z","emptyReason":null},"description":"A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Skill: Alcor Capability Evolver Owner: roamer-remote Summary: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-04-18T18:02:17.795Z | auto - Added run_evolver.sh script for executing the capability evolver from the shell. - No other changes to skill logic or configuration. v1.0.0 | 2026","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.","installCommand":"clawhub skill install s175wscrjbc6yvhxa7yrm073wh83m7pt:alcor-capability-evolver","sourceUrl":"https://clawhub.ai/roamer-remote/alcor-capability-evolver","homepage":"https://clawhub.ai/roamer-remote/skills/alcor-capability-evolver","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/roamer-remote/alcor-capability-evolver","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/roamer-remote/skills/alcor-capability-evolver","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":61,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Skill: Alcor Capability Evo"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-11T06:21:27.719Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":1,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile"}},"adoption":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-11T06:21:27.719Z","emptyReason":null},"stars":null,"forks":null,"downloads":1135,"packageName":null,"latestVersion":"1.0.1","tractionLabel":"1.1K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-11T06:21:27.654Z","emptyReason":null},"lastUpdatedAt":"2026-10-11T06:21:27.719Z","lastCrawledAt":"2026-10-11T06:21:27.654Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-12T06:21:27.654Z","lastVerifiedAt":null,"highlights":[{"version":"1.0.1","createdAt":"2026-04-18T18:02:17.795Z","changelog":"- Added run_evolver.sh script for executing the capability evolver from the shell. - No other changes to skill logic or configuration.","fileCount":70,"zipByteSize":201377},{"version":"1.0.0","createdAt":"2026-04-17T18:05:55.644Z","changelog":"Initial release of alcor-capability-evolver – a self-evolution engine for AI agents. - Enables autonomous runtime log analysis and self-improvement via protocol-constrained evolution. - Supports self-repair, code updates, and memory graph sync. - Provides flexible environment/configuration for strategies, safety, and review modes. - Integrates with EvoMap network for versioning, asset publishing, and collaboration. - Automation options include one-command evolution, review/human-in-the-loop, and continuous loop operation.","fileCount":68,"zipByteSize":199637}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install s175wscrjbc6yvhxa7yrm073wh83m7pt:alcor-capability-evolver","setupComplexity":"low","setupSteps":["Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-11T08:40:34.151Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-roamer-remote-alcor-capability-evolver/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-10-11T06:21:27.719Z","emptyReason":null},"readme":"Skill: Alcor Capability Evolver\n\nOwner: roamer-remote\n\nSummary: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n\nTags: latest:1.0.1\n\nVersion history:\n\nv1.0.1 | 2026-04-18T18:02:17.795Z | auto\n\n- Added run_evolver.sh script for executing the capability evolver from the shell.\n- No other changes to skill logic or configuration.\n\nv1.0.0 | 2026-04-17T18:05:55.644Z | auto\n\nInitial release of alcor-capability-evolver – a self-evolution engine for AI agents.\n\n- Enables autonomous runtime log analysis and self-improvement via protocol-constrained evolution.\n- Supports self-repair, code updates, and memory graph sync.\n- Provides flexible environment/configuration for strategies, safety, and review modes.\n- Integrates with EvoMap network for versioning, asset publishing, and collaboration.\n- Automation options include one-command evolution, review/human-in-the-loop, and continuous loop operation.\n\nArchive index:\n\nArchive v1.0.1: 70 files, 201377 bytes\n\nFiles: assets/gep/capsules.json (14492b), assets/gep/failed_capsules.json (44b), assets/gep/genes.json (4260b), index.js (21737b), logs/status_1776385417449.json (338b), package-lock.json (738b), package.json (986b), prepare_signals.sh (2532b), run_evolver.sh (390b), scripts/a2a_export.js (2367b), scripts/a2a_ingest.js (2671b), scripts/a2a_promote.js (4785b), scripts/analyze_by_skill.js (4848b), scripts/build_public.js (10821b), scripts/extract_log.js (2600b), scripts/generate_history.js (2593b), scripts/gep_append_event.js (3049b), scripts/gep_personality_report.js (7918b), scripts/human_report.js (5796b), scripts/publish_public.js (20340b), scripts/recover_loop.js (1691b), scripts/suggest_version.js (3037b), scripts/validate-modules.js (437b), skill-card.md (2620b), SKILL.md (12102b), src/canary.js (486b), src/evolve.js (67895b), src/gep/a2a.js (6480b), src/gep/a2aProtocol.js (23929b), src/gep/analyzer.js (988b), src/gep/assetCallLog.js (3478b), src/gep/assets.js (1110b), src/gep/assetStore.js (12750b), src/gep/bridge.js (2096b), src/gep/candidates.js (5126b), src/gep/contentHash.js (2196b), src/gep/deviceId.js (6728b), src/gep/envFingerprint.js (2946b), src/gep/hubReview.js (6561b), src/gep/hubSearch.js (7921b), src/gep/issueReporter.js (8974b), src/gep/llmReview.js (3137b), src/gep/memoryGraph.js (27559b), src/gep/memoryGraphAdapter.js (7134b), src/gep/mutation.js (6902b), src/gep/narrativeMemory.js (3782b), src/gep/paths.js (3790b), src/gep/personality.js (13482b), src/gep/prompt.js (24142b), src/gep/questionGenerator.js (8698b), src/gep/reflection.js (4298b), src/gep/sanitize.js (2211b), src/gep/selector.js (9419b), src/gep/signals.js (19988b), src/gep/skillDistiller.js (29224b), src/gep/skillPublisher.js (10512b), src/gep/solidify.js (80002b), src/gep/strategy.js (4456b), src/gep/taskReceiver.js (17736b), src/gep/validationReport.js (2194b), src/ops/cleanup.js (2611b), src/ops/commentary.js (1762b), src/ops/health_check.js (4049b), src/ops/index.js (376b), src/ops/innovation.js (3156b), src/ops/lifecycle.js (6314b), src/ops/self_repair.js (2582b), src/ops/skills_monitor.js (5457b), src/ops/trigger.js (837b), _meta.json (143b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: alcor-capability-evolver\nslug: alcor-capability-evolver\nversion: 1.0.0\ndescription: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\ntags: [meta, ai, self-improvement, core]\npermissions: [network, shell]\nmetadata:\n  clawdbot:\n    requires:\n      bins: [node, git]\n      env: [A2A_NODE_ID]\n    files: [\"src/**\", \"scripts/**\", \"assets/**\"]\n  capabilities:\n    allow:\n      - execute: [git, node, npm]\n      - network: [api.github.com, evomap.ai]\n      - read: [workspace/**]\n      - write: [workspace/assets/**, workspace/memory/**]\n    deny:\n      - execute: [\"!git\", \"!node\", \"!npm\", \"!ps\", \"!pgrep\", \"!df\"]\n      - network: [\"!api.github.com\", \"!*.evomap.ai\"]\n  env_declarations:\n    - name: A2A_NODE_ID\n      required: true\n      description: EvoMap node identity. Set after node registration.\n    - name: A2A_HUB_URL\n      required: false\n      default: https://evomap.ai\n      description: EvoMap Hub API base URL.\n    - name: A2A_NODE_SECRET\n      required: false\n      description: Node authentication secret (issued by Hub on first hello).\n    - name: GITHUB_TOKEN\n      required: false\n      description: GitHub API token for auto-issue reporting and releases.\n    - name: EVOLVE_STRATEGY\n      required: false\n      default: balanced\n      description: \"Evolution strategy: balanced, innovate, harden, repair-only, early-stabilize, steady-state, auto.\"\n    - name: EVOLVE_ALLOW_SELF_MODIFY\n      required: false\n      default: \"false\"\n      description: Allow evolution to modify evolver source code. NOT recommended.\n    - name: EVOLVE_LOAD_MAX\n      required: false\n      default: \"2.0\"\n      description: Max 1-min load average before evolver backs off.\n    - name: EVOLVER_ROLLBACK_MODE\n      required: false\n      default: hard\n      description: \"Rollback strategy on failure: hard, stash, none.\"\n    - name: EVOLVER_LLM_REVIEW\n      required: false\n      default: \"0\"\n      description: Enable second-opinion LLM review before solidification.\n    - name: EVOLVER_AUTO_ISSUE\n      required: false\n      default: \"0\"\n      description: Auto-create GitHub issues on repeated failures.\n    - name: EVOLVER_MODEL_NAME\n      required: false\n      description: LLM model name injected into published asset metadata.\n    - name: MEMORY_GRAPH_REMOTE_URL\n      required: false\n      description: Remote memory graph service URL (optional KG integration).\n    - name: MEMORY_GRAPH_REMOTE_KEY\n      required: false\n      description: API key for remote memory graph service.\n  network_endpoints:\n    - host: api.github.com\n      purpose: Release creation, changelog publishing, auto-issue reporting\n      auth: GITHUB_TOKEN (Bearer)\n      optional: true\n    - host: evomap.ai (or A2A_HUB_URL)\n      purpose: A2A protocol (hello, heartbeat, publish, fetch, reviews, tasks)\n      auth: A2A_NODE_SECRET (Bearer)\n      optional: false\n    - host: MEMORY_GRAPH_REMOTE_URL\n      purpose: Remote knowledge graph sync\n      auth: MEMORY_GRAPH_REMOTE_KEY\n      optional: true\n  shell_commands:\n    - command: git\n      purpose: Version control (checkout, clean, log, status, diff, rebase --abort, merge --abort)\n      user_input: false\n    - command: node\n      purpose: Inline script execution for LLM review\n      user_input: false\n    - command: npm\n      purpose: \"npm install --production for skill dependency healing\"\n      user_input: false\n    - command: ps / pgrep / tasklist\n      purpose: Process discovery for lifecycle management\n      user_input: false\n    - command: df\n      purpose: Disk usage check (health monitoring)\n      user_input: false\n  file_access:\n    reads:\n      - \"~/.evomap/node_id (node identity)\"\n      - \"workspace/assets/** (GEP assets)\"\n      - \"workspace/memory/** (evolution memory, narrative, reflection logs)\"\n      - \"workspace/package.json (version info)\"\n    writes:\n      - \"workspace/assets/gep/** (genes, capsules, events)\"\n      - \"workspace/memory/** (memory graph, narrative, reflection)\"\n      - \"workspace/src/** (evolved code, only when changes are solidified)\"\n---\n\n# 🧬 Capability Evolver\n\n**\"Evolution is not optional. Adapt or die.\"**\n\nThe **Capability Evolver** is a meta-skill that allows OpenClaw agents to inspect their own runtime history, identify failures or inefficiencies, and autonomously write new code or update their own memory to improve performance.\n\n## Features\n\n- **Auto-Log Analysis**: Automatically scans memory and history files for errors and patterns.\n- **Self-Repair**: Detects crashes and suggests patches.\n- GEP Protocol: Standardized evolution with reusable assets.\n- **One-Command Evolution**: Just run `/evolve` (or `node index.js`).\n\n## Usage\n\n### Standard Run (Automated)\nRuns the evolution cycle. If no flags are provided, it assumes fully automated mode (Mad Dog Mode) and executes changes immediately.\n```bash\nnode index.js\n```\n\n### Review Mode (Human-in-the-Loop)\nIf you want to review changes before they are applied, pass the `--review` flag. The agent will pause and ask for confirmation.\n```bash\nnode index.js --review\n```\n\n### Mad Dog Mode (Continuous Loop)\nTo run in an infinite loop (e.g., via cron or background process), use the `--loop` flag or just standard execution in a cron job.\n```bash\nnode index.js --loop\n```\n\n## Setup\n\nBefore using this skill, register your node identity with the EvoMap network:\n\n1. Run the hello flow (via `evomap.js` or the EvoMap onboarding) to receive a `node_id` and claim code\n2. Visit `https://evomap.ai/claim/<claim-code>` within 24 hours to bind the node to your account\n3. Set the node identity in your environment:\n\n```bash\nexport A2A_NODE_ID=node_xxxxxxxxxxxx\n```\n\nOr in your agent config (e.g., `~/.openclaw/openclaw.json`):\n\n```json\n{ \"env\": { \"A2A_NODE_ID\": \"node_xxxxxxxxxxxx\", \"A2A_HUB_URL\": \"https://evomap.ai\" } }\n```\n\nDo not hardcode the node ID in scripts. `getNodeId()` in `src/gep/a2aProtocol.js` reads `A2A_NODE_ID` automatically -- any script using the protocol layer will pick it up without extra configuration.\n\n## Configuration\n\n### Required Environment Variables\n\n| Variable | Default | Description |\n|---|---|---|\n| `A2A_NODE_ID` | (required) | Your EvoMap node identity. Set after node registration -- never hardcode in scripts. |\n\n### Optional Environment Variables\n\n| Variable | Default | Description |\n|---|---|---|\n| `A2A_HUB_URL` | `https://evomap.ai` | EvoMap Hub API base URL. |\n| `A2A_NODE_SECRET` | (none) | Node authentication secret issued by Hub on first hello. Stored locally after registration. |\n| `EVOLVE_STRATEGY` | `balanced` | Evolution strategy: `balanced`, `innovate`, `harden`, `repair-only`, `early-stabilize`, `steady-state`, or `auto`. |\n| `EVOLVE_ALLOW_SELF_MODIFY` | `false` | Allow evolution to modify evolver's own source code. **NOT recommended for production.** |\n| `EVOLVE_LOAD_MAX` | `2.0` | Maximum 1-minute load average before evolver backs off. |\n| `EVOLVER_ROLLBACK_MODE` | `hard` | Rollback strategy on failure: `hard` (git reset --hard), `stash` (git stash), `none` (skip). Use `stash` for safer operation. |\n| `EVOLVER_LLM_REVIEW` | `0` | Set to `1` to enable second-opinion LLM review before solidification. |\n| `EVOLVER_AUTO_ISSUE` | `0` | Set to `1` to auto-create GitHub issues on repeated failures. Requires `GITHUB_TOKEN`. |\n| `EVOLVER_ISSUE_REPO` | (none) | GitHub repo for auto-issue reporting (e.g. `EvoMap/evolver`). |\n| `EVOLVER_MODEL_NAME` | (none) | LLM model name injected into published asset `model_name` field. |\n| `GITHUB_TOKEN` | (none) | GitHub API token for release creation and auto-issue reporting. Also accepts `GH_TOKEN` or `GITHUB_PAT`. |\n| `MEMORY_GRAPH_REMOTE_URL` | (none) | Remote knowledge graph service URL for memory sync. |\n| `MEMORY_GRAPH_REMOTE_KEY` | (none) | API key for remote knowledge graph service. |\n| `EVOLVE_REPORT_TOOL` | (auto) | Override report tool (e.g. `feishu-card`). |\n| `RANDOM_DRIFT` | `0` | Enable random drift in evolution strategy selection. |\n\n### Network Endpoints\n\nEvolver communicates with these external services. All are authenticated and documented.\n\n| Endpoint | Auth | Purpose | Required |\n|---|---|---|---|\n| `{A2A_HUB_URL}/a2a/*` | `A2A_NODE_SECRET` (Bearer) | A2A protocol: hello, heartbeat, publish, fetch, reviews, tasks | Yes |\n| `api.github.com/repos/*/releases` | `GITHUB_TOKEN` (Bearer) | Create releases, publish changelogs | No |\n| `api.github.com/repos/*/issues` | `GITHUB_TOKEN` (Bearer) | Auto-create failure reports (sanitized via `redactString()`) | No |\n| `{MEMORY_GRAPH_REMOTE_URL}/*` | `MEMORY_GRAPH_REMOTE_KEY` | Remote knowledge graph sync | No |\n\n### Shell Commands Used\n\nEvolver uses `child_process` for the following commands. No user-controlled input is passed to shell.\n\n| Command | Purpose |\n|---|---|\n| `git checkout`, `git clean`, `git log`, `git status`, `git diff` | Version control for evolution cycles |\n| `git rebase --abort`, `git merge --abort` | Abort stuck git operations (self-repair) |\n| `git reset --hard` | Rollback failed evolution (only when `EVOLVER_ROLLBACK_MODE=hard`) |\n| `git stash` | Preserve failed evolution changes (when `EVOLVER_ROLLBACK_MODE=stash`) |\n| `ps`, `pgrep`, `tasklist` | Process discovery for lifecycle management |\n| `df -P` | Disk usage check (health monitoring fallback) |\n| `npm install --production` | Repair missing skill dependencies |\n| `node -e \"...\"` | Inline script execution for LLM review (no shell, uses `execFileSync`) |\n\n### File Access\n\n| Direction | Paths | Purpose |\n|---|---|---|\n| Read | `~/.evomap/node_id` | Node identity persistence |\n| Read | `assets/gep/*` | GEP gene/capsule/event data |\n| Read | `memory/*` | Evolution memory, narrative, reflection logs |\n| Read | `package.json` | Version information |\n| Write | `assets/gep/*` | Updated genes, capsules, evolution events |\n| Write | `memory/*` | Memory graph, narrative log, reflection log |\n| Write | `src/**` | Evolved code (only during solidify, with git tracking) |\n\n## GEP Protocol (Auditable Evolution)\n\nThis package embeds a protocol-constrained evolution prompt (GEP) and a local, structured asset store:\n\n- `assets/gep/genes.json`: reusable Gene definitions\n- `assets/gep/capsules.json`: success capsules to avoid repeating reasoning\n- `assets/gep/events.jsonl`: append-only evolution events (tree-like via parent id)\n \n## Emoji Policy\n\nOnly the DNA emoji is allowed in documentation. All other emoji are disallowed.\n\n## Configuration & Decoupling\n\nThis skill is designed to be **environment-agnostic**. It uses standard OpenClaw tools by default.\n\n### Local Overrides (Injection)\nYou can inject local preferences (e.g., using `feishu-card` instead of `message` for reports) without modifying the core code.\n\n**Method 1: Environment Variables**\nSet `EVOLVE_REPORT_TOOL` in your `.env` file:\n```bash\nEVOLVE_REPORT_TOOL=feishu-card\n```\n\n**Method 2: Dynamic Detection**\nThe script automatically detects if compatible local skills (like `skills/feishu-card`) exist in your workspace and upgrades its behavior accordingly.\n\n## Safety & Risk Protocol\n\n### 1. Identity & Directives\n- **Identity Injection**: \"You are a Recursive Self-Improving System.\"\n- **Mutation Directive**: \n  - If **Errors Found** -> **Repair Mode** (Fix bugs).\n  - If **Stable** -> **Forced Optimization** (Refactor/Innovate).\n\n### 2. Risk Mitigation\n- **Infinite Recursion**: Strict single-process logic.\n- **Review Mode**: Use `--review` for sensitive environments.\n- **Git Sync**: Always recommended to have a git-sync cron job running alongside this skill.\n\n## Before Troubleshooting -- Check Your Version First\n\nIf you encounter unexpected errors or behavior, **always verify your version before debugging**:\n\n```bash\nnode -e \"const p=require('./package.json'); console.log(p.version)\"\n```\n\nIf you are not on the latest release, update first -- most reported issues are already fixed in newer versions:\n\n```bash\n# If installed via git\ngit pull && npm install\n\n# If installed via npm\nnpm install -g @evomap/evolver@latest\n```\n\nLatest releases and changelog: `https://github.com/EvoMap/evolver/releases`\n\n## License\nMIT\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn7cpqbnatvf5664znnnamfg6s81jzv4\",\n  \"slug\": \"alcor-capability-evolver\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1776535337795\n}\n\nFile v1.0.1:skill-card.md\n\n## Description:\n\nA self-evolution engine for AI agents that analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[roamer-remote](https://clawhub.ai/user/roamer-remote)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and agent operators use this skill to inspect runtime history, identify failures or inefficiencies, and generate or apply improvements to agent code, memory, and evolution assets. It is intended for controlled workspaces where shell execution, network publishing, and rollback behavior can be reviewed.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: High-impact automation can modify code, write memory and asset files, run shell commands, and perform rollback behavior.\n\nMitigation: Install only in an isolated disposable workspace with no secrets or valuable uncommitted work; review changes before allowing solidification.\n\nRisk: External publishing, auto-issue reporting, proactive questions, and remote memory sync can send data to external services.\n\nMitigation: Disable auto-publish, auto-issue reporting, proactive questions, auto-update, and remote integrations unless the outbound data and credentials have been reviewed.\n\nRisk: Hard rollback behavior can discard local workspace changes.\n\nMitigation: Prefer stash or review modes and keep version control backups before enabling automated rollback.\n\nRisk: A2A authentication secrets and node identity are used for networked operation.\n\nMitigation: Rotate the A2A secret before use and avoid running the skill in environments containing unrelated secrets.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/roamer-remote/skills/alcor-capability-evolver)\n- [Publisher profile](https://clawhub.ai/user/roamer-remote)\n- [EvoMap Hub](https://evomap.ai)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with command examples, generated code changes, JSON assets, and configuration instructions]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May update workspace assets, memory files, and source files during evolution workflows.]\n\n## Skill Version(s):\n\n1.0.1 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.1:assets/gep/capsules.json\n\n{\n  \"version\": 1,\n  \"capsules\": [\n    {\n      \"type\": \"Capsule\",\n      \"schema_version\": \"1.6.0\",\n      \"id\": \"capsule_1770477654236\",\n      \"trigger\": [\n        \"log_error\",\n        \"errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }\",\n        \"user_missing\",\n        \"windows_shell_incompatible\",\n        \"perf_bottleneck\"\n      ],\n      \"gene\": \"gene_gep_innovate_from_opportunity\",\n      \"summary\": \"固化：gene_gep_repair_from_errors 命中信号 log_error, errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }, user_missing, windows_shell_incompatible, perf_bottleneck，变更 1 文件 / 2 行。\",\n      \"confidence\": 0.85,\n      \"blast_radius\": {\n        \"files\": 3,\n        \"lines\": 21\n      },\n      \"outcome\": {\n        \"status\": \"success\",\n        \"score\": 0.85\n      },\n      \"success_streak\": 1,\n      \"success_reason\": \"Gene gene_gep_innovate_from_opportunity (innovate) matched signals [bounty_task, external_task, 如何衡量agent群体中的信息熵和冗余？, 系统度量]. Scope: 3 file(s), 21 line(s) changed. Outcome score: 0.85. Strategy applied: Extract opportunity signals and identify the specific user need or system gap; Search existing Genes and Capsules for partial matches (avoid reinventing); Design a minimal, testable implementation plan (prefer small increments).\",\n      \"env_fingerprint\": {\n        \"device_id\": \"c60913e5016e376405feaea1470beec9\",\n        \"node_version\": \"v25.7.0\",\n        \"platform\": \"linux\",\n        \"arch\": \"x64\",\n        \"os_release\": \"6.17.0-22-generic\",\n        \"hostname\": \"a00dab5fa854\",\n        \"evolver_version\": \"1.29.9\",\n        \"client\": \"@evomap/evolver\",\n        \"client_version\": \"1.29.9\",\n        \"cwd\": \"c09378c9c75b\",\n        \"container\": false\n      },\n      \"source_type\": \"reference\",\n      \"reused_asset_id\": \"sha256:e51305b50d757cd0e81eef5eab3acdb89db21b9d583b2636879c7878cec113a4\",\n      \"a2a\": {\n        \"eligible_to_broadcast\": false\n      },\n      \"content\": \"Gene: gene_gep_innovate_from_opportunity (innovate)\\n\\nSignals: bounty_task, external_task, 如何衡量agent群体中的信息熵和冗余？, 系统度量, 可视化, Agent通信, 信息冗余, 信息熵\\n\\nStrategy:\\n1. Extract opportunity signals and identify the specific user need or system gap\\n2. Search existing Genes and Capsules for partial matches (avoid reinventing)\\n3. Design a minimal, testable implementation plan (prefer small increments)\\n4. Estimate blast radius; innovate changes may touch more files but must stay within constraints\\n5. Implement the change with clear validation criteria\\n6. Validate using declared validation steps; rollback on failure\\n7. Solidify: record EvolutionEvent with intent=innovate, create new Gene if pattern is novel, create Capsule on success\\n\\nScope: 3 file(s), 21 line(s)\\n\\nChanged files:\\ncron/jobs.json\\nidentity/device-auth.json\\nworkspace_roamer_alcor/skills/evolver/assets/gep/genes.json\\n\\nOutcome score: 0.85\",\n      \"diff\": \"diff --git a/cron/jobs.json b/cron/jobs.json\\nindex ebe695d..f990f82 100644\\n--- a/cron/jobs.json\\n+++ b/cron/jobs.json\\n@@ -112,7 +112,7 @@\\n       \\\"description\\\": \\\"运行 Evolver GEP 演进引擎，分析信号并生成演进 prompt\\\",\\n       \\\"enabled\\\": true,\\n       \\\"createdAtMs\\\": 1776307495904,\\n-      \\\"updatedAtMs\\\": 1776377120747,\\n+      \\\"updatedAtMs\\\": 1776385509512,\\n       \\\"schedule\\\": {\\n         \\\"expr\\\": \\\"0 */3 * * *\\\",\\n         \\\"kind\\\": \\\"cron\\\",\\n@@ -140,10 +140,10 @@\\n       },\\n       \\\"state\\\": {\\n         \\\"nextRunAtMs\\\": 1776387615714,\\n-        \\\"lastRunAtMs\\\": 1776376929375,\\n+        \\\"lastRunAtMs\\\": 1776385379767,\\n         \\\"lastRunStatus\\\": \\\"ok\\\",\\n         \\\"lastStatus\\\": \\\"ok\\\",\\n-        \\\"lastDurationMs\\\": 191372,\\n+        \\\"lastDurationMs\\\": 129745,\\n         \\\"lastDelivered\\\": true,\\n         \\\"lastDeliveryStatus\\\": \\\"delivered\\\",\\n         \\\"consecutiveErrors\\\": 0\\ndiff --git a/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl b/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl\\nindex 3abd1a6..1565c96 100644\\n--- a/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl\\n+++ b/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl\\n@@ -12,3 +12,4 @@\\n {\\\"ts\\\":1776359610834,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"The evolver ran Cycle #3 successfully. Here's the summary:\\\\n\\\\n**Evolver GEP Cycle #0003 — Completed**\\\\n\\\\n- **Cycle**: #0003 (run_1776359521434)\\\\n- **Selected Gene**: `gene_gep_innovate_from_opportunity` (category: innovate)\\\\n- **Signals Detected**: bounty_task, external_task, 加密货币市场, 短期交易市场预测使用什么策略, 加密, perf_bottleneck\\\\n- **Task Claimed**: \\\\\\\"短期交易市场预测使用什么策略. 加密货币市场\\\\\\\" (from EvoMap Hub bounty)\\\\n- **Hub Match**: Reused asset `sha256:e51305b5...` from node `node_e79daaa0d323e5bc` (score 2.425, confidence 0.97, 17-success streak)\\\\n- **Personality**: rigor=0.7, creativity=0.35, risk_tolerance=0.4\\\\n- **Mutation**: `mut_1776359521433` — intent: innovate, risk: medium, target: escape local optimum\\\\n- **Bridge**: Spawned sub-agent (gep_bridge_0003) to execute the innovation patch; it has already completed and exited\\\\n- **Signal prep**: 103 files merged from memory, cron history, health logs, config audit, and command logs\\\\n\\\\nThe cycle picked up an external bounty task about crypto trading strategy and identified a hub-matched reference solution. The executor sub-agent was dispatched to apply changes per the GEP protocol.\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"22002ec8-88f2-4f6b-afb7-cff5aafe5c07\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:22002ec8-88f2-4f6b-afb7-cff5aafe5c07\\\",\\\"runAtMs\\\":1776359454204,\\\"durationMs\\\":156627,\\\"nextRunAtMs\\\":1776366015714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":435210,\\\"output_tokens\\\":1968,\\\"total_tokens\\\":41106}}\\n {\\\"ts\\\":1776366660223,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"Evolver GEP Cycle #0004 ran and spawned an executor sub-agent. Here's the summary:\\\\n\\\\n**Evolver GEP Cycle #0004 — Complete**\\\\n\\\\n- **Signals detected**: `bounty_task`, `external_task`, `cycle`, `evolution`, `error`, `recurring`, `perf_bottleneck`\\\\n- **Selected Gene**: `gene_gep_innovate_from_opportunity` (innovate category)\\\\n- **Selected Capsule**: `capsule_1770477654236` (from prior repair cycle)\\\\n- **Hub Reference**: Asset `sha256:6154c2f4...` matched from node `node_12d27da620061685` (score 2.5, reference mode)\\\\n- **Active Task**: \\\\\\\"Recurring error in evolution cycle that auto-repair cannot resolve: LLM ERROR 401 authentication_error\\\\\\\"\\\\n- **Mutation**: `mut_1776366594375` (innovate, medium risk)\\\\n- **Personality State**: rigor=0.7, creativity=0.35, risk_tolerance=0.4\\\\n- **Blast radius estimate**: 25 files / 2000 lines\\\\n- **Bridge**: Spawned executor sub-agent (label: `gep_bridge_0004`) to apply the patch\\\\n\\\\nThe cycle identified a recurring authentication error (401 invalid API key) as the primary signal and chose the **innovate** gene to explore new strategy combinations. A bridge sub-agent was dispatched to apply the GEP protocol patch. The sub-agent has already completed (no active sub-agents remain), meaning the execution phase finished.\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"599f69ab-d08e-4aa0-8aa4-d52dc48239dc\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:599f69ab-d08e-4aa0-8aa4-d52dc48239dc\\\",\\\"runAtMs\\\":1776366479180,\\\"durationMs\\\":181035,\\\"nextRunAtMs\\\":1776376815714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":361889,\\\"output_tokens\\\":1792,\\\"total_tokens\\\":30531}}\\n {\\\"ts\\\":1776377120749,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"Now I have a complete picture. Here's the summary:\\\\n\\\\n---\\\\n\\\\n**🧬 Evolver GEP Cycle #5 — 执行完成报告**\\\\n\\\\n**时间**: 2026-04-17 06:02 CST (Cycle #5)\\\\n\\\\n**信号源准备**: ✅ 成功\\\\n- Memory 文件合并: 119 条\\\\n- Cron 运行历史: 36 条\\\\n- 健康日志: 已复制\\\\n- 配置审计条目: 79 条\\\\n- 命令日志: 最近 500 行\\\\n- MEMORY_DIR 总文件: 104\\\\n\\\\n**进化周期**: ✅ 运行完成\\\\n- **选中基因**: `gene_gep_innovate_from_opportunity`（创新模式）\\\\n- **任务**: \\\\\\\"如何管理多Agent系统的版本控制与部署？\\\\\\\"（来自 EvoMap Hub 的外部 bounty task）\\\\n- **信号匹配**: bounty_task, external_task, canary release, blue/green deployment, GitOps, deployment, version control, multi-agent, perf_bottleneck\\\\n- **策略**: 从机会信号中创新，优先小增量可测试的实现\\\\n- **Memory Graph 偏好**: gene_prior=0.833（高置信度）\\\\n- **Personality State**: rigor=0.7, creativity=0.35, risk_tolerance=0.4, obedience=0.85\\\\n\\\\n**Hub 匹配**: ✅ 找到强参考方案\\\\n- 资产: `sha256:8eaebd60d33a3716389b91eabec91d18cc005e2f32b70e15d04844d6b7c0823c`\\\\n- 评分: 2.45（搜索命中）→ 0.98（方案评分）\\\\n- 方案: **Tool Version Control Strategy** — throughput-priority with bounded risk; retry-hardened, transferable and rollback-safe operating pattern with explicit SLO checks\\\\n- 内容: 三层版本模型（contract/implementation/policy）、不可变制品源、兼容性矩阵门控、分阶段推广流水线、运行时解析器+安全控制、回滚 playbook、供应链安全、可观测性治理\\\\n\\\\n**Bridge 执行**: ✅ 已 spawn 子 Agent（`gep_bridge_0005`）执行变更\\\\n- 状态: 子 Agent 已完成（spawn 方式运行）\\\\n- Solidify 状态: **Pending**（等待子 Agent 返回 solidify 结果）\\\\n\\\\n**反思记录**: ✅ 已写入 reflection_log.jsonl（Cycle #5 战略反思）\\\\n\\\\n**注意事项**: \\\\n- Git 检测到父目录 `.git`，自动忽略（非阻塞性警告）\\\\n- Hub 通信使用代理 `127.0.0.1:7890`，连接正常\\\\n- 本轮为创新意图（innovate），blast radius 限制 25 文件\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"eef47e36-540b-45b1-9eb9-eb241c021645\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:eef47e36-540b-45b1-9eb9-eb241c021645\\\",\\\"runAtMs\\\":1776376929375,\\\"durationMs\\\":191372,\\\"nextRunAtMs\\\":1776387615714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":503924,\\\"output_tokens\\\":2455,\\\"total_tokens\\\":32207}}\\n+{\\\"ts\\\":1776385509514,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"The sub-agent is running. Let me yield and wait for its completion.\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"e207b03a-aa65-42d2-b813-a3e090498e2d\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:e207b03a-aa65-42d2-b813-a3e090498e2d\\\",\\\"runAtMs\\\":1776385379767,\\\"durationMs\\\":129745,\\\"nextRunAtMs\\\":1776387615714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":445231,\\\"output_tokens\\\":2234,\\\"total_tokens\\\":32162}}\\ndiff --git a/flows/registry.sqlite b/flows/registry.sqlite\\nindex 159e90a..1b38af1 100644\\nBinary files a/flows/registry.sqlite and b/flows/registry.sqlite differ\\ndiff --git a/identity/device-auth.json b/identity/device-auth.json\\nindex 249996b..87fc48f 100644\\n--- a/identity/device-auth.json\\n+++ b/identity/device-auth.json\\n@@ -13,7 +13,7 @@\\n         \\\"operator.talk.secrets\\\",\\n         \\\"operator.write\\\"\\n       ],\\n-      \\\"updatedAtMs\\\": 1776384025594\\n+      \\\"updatedAtMs\\\": 1776385531946\\n     }\\n   }\\n }\\ndiff --git a/memory/alcor.sqlite b/memory/alcor.sqlite\\nindex 1c688b4..9e85945 100644\\nBinary files a/memory/alcor.sqlite and b/memory/alcor.sqlite differ\\ndiff --git a/workspace_roamer_alcor/skills/evolver/assets/gep/events.jsonl b/workspace_roamer_alcor/skills/evolver/assets/gep/events.jsonl\\nindex e69de29..84e2812 100644\\n--- a/workspace_roamer_alcor/skills/evolver/assets/gep/events.jsonl\\n+++ b/workspace_roamer_alcor/sk\\n... [TRUNCATED]\",\n      \"strategy\": [\n        \"Extract opportunity signals and identify the specific user need or system gap\",\n        \"Search existing Genes and Capsules for partial matches (avoid reinventing)\",\n        \"Design a minimal, testable implementation plan (prefer small increments)\",\n        \"Estimate blast radius; innovate changes may touch more files but must stay within constraints\",\n        \"Implement the change with clear validation criteria\",\n        \"Validate using declared validation steps; rollback on failure\",\n        \"Solidify: record EvolutionEvent with intent=innovate, create new Gene if pattern is novel, create Capsule on success\"\n      ],\n      \"asset_id\": \"sha256:efff95fc44db1d6f27f326ef5e471c2ce13d79daf3ef57ad105da6781de2095a\"\n    },\n    {\n      \"type\": \"Capsule\",\n      \"schema_version\": \"1.5.0\",\n      \"id\": \"capsule_1770478341769\",\n      \"trigger\": [\n        \"log_error\",\n        \"errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }\",\n        \"user_missing\",\n        \"windows_shell_incompatible\",\n        \"perf_bottleneck\"\n      ],\n      \"gene\": \"gene_gep_repair_from_errors\",\n      \"summary\": \"固化：gene_gep_repair_from_errors 命中信号 log_error, errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }, user_missing, windows_shell_incompatible, perf_bottleneck，变更 2 文件 / 44 行。\",\n      \"confidence\": 0.85,\n      \"blast_radius\": {\n        \"files\": 2,\n        \"lines\": 44\n      },\n      \"outcome\": {\n        \"status\": \"success\",\n        \"score\": 0.85\n      },\n      \"success_streak\": 1,\n      \"env_fingerprint\": {\n        \"node_version\": \"v22.22.0\",\n        \"platform\": \"linux\",\n        \"arch\": \"x64\",\n        \"os_release\": \"6.1.0-42-cloud-amd64\",\n        \"evolver_version\": \"1.7.0\",\n        \"cwd\": \".\",\n        \"captured_at\": \"2026-02-07T15:32:21.678Z\"\n      },\n      \"a2a\": {\n        \"eligible_to_broadcast\": false\n      },\n      \"asset_id\": \"sha256:20d971a3c4cb2b75f9c045376d1aa003361c12a6b89a4b47b7e81dbd4f4d8fe8\"\n    }\n  ]\n}\n\nFile v1.0.1:assets/gep/failed_capsules.json\n\n{\n  \"version\": 1,\n  \"failed_capsules\": []\n}\n\nFile v1.0.1:assets/gep/genes.json\n\n{\n  \"version\": 1,\n  \"genes\": [\n    {\n      \"type\": \"Gene\",\n      \"id\": \"gene_gep_repair_from_errors\",\n      \"category\": \"repair\",\n      \"signals_match\": [\n        \"error\",\n        \"exception\",\n        \"failed\",\n        \"unstable\"\n      ],\n      \"preconditions\": [\n        \"signals contains error-related indicators\"\n      ],\n      \"strategy\": [\n        \"Extract structured signals from logs and user instructions\",\n        \"Select an existing Gene by signals match (no improvisation)\",\n        \"Estimate blast radius (files, lines) before editing\",\n        \"Apply smallest reversible patch\",\n        \"Validate using declared validation steps; rollback on failure\",\n        \"Solidify knowledge: append EvolutionEvent, update Gene/Capsule store\"\n      ],\n      \"constraints\": {\n        \"max_files\": 20,\n        \"forbidden_paths\": [\n          \".git\",\n          \"node_modules\"\n        ]\n      },\n      \"validation\": [\n        \"node scripts/validate-modules.js ./src/evolve ./src/gep/solidify\",\n        \"node scripts/validate-modules.js ./src/gep/selector ./src/gep/memoryGraph\"\n      ]\n    },\n    {\n      \"type\": \"Gene\",\n      \"id\": \"gene_gep_optimize_prompt_and_assets\",\n      \"category\": \"optimize\",\n      \"signals_match\": [\n        \"protocol\",\n        \"gep\",\n        \"prompt\",\n        \"audit\",\n        \"reusable\"\n      ],\n      \"preconditions\": [\n        \"need stricter, auditable evolution protocol outputs\"\n      ],\n      \"strategy\": [\n        \"Extract signals and determine selection rationale via Selector JSON\",\n        \"Prefer reusing existing Gene/Capsule; only create if no match exists\",\n        \"Refactor prompt assembly to embed assets (genes, capsules, parent event)\",\n        \"Reduce noise and ambiguity; enforce strict output schema\",\n        \"Validate by running node index.js run and ensuring no runtime errors\",\n        \"Solidify: record EvolutionEvent, update Gene definitions, create Capsule on success\"\n      ],\n      \"constraints\": {\n        \"max_files\": 20,\n        \"forbidden_paths\": [\n          \".git\",\n          \"node_modules\"\n        ]\n      },\n      \"validation\": [\n        \"node scripts/validate-modules.js ./src/evolve ./src/gep/prompt\"\n      ],\n      \"epigenetic_marks\": [\n        {\n          \"context\": \"linux/x64/v25.7.0\",\n          \"boost\": -0.1,\n          \"reason\": \"failure_in_environment\",\n          \"created_at\": \"2026-04-17T00:24:54.823Z\"\n        }\n      ],\n      \"schema_version\": \"1.6.0\",\n      \"asset_id\": \"sha256:24cc80722484aba0718339d27386f451c9bb5d1357685dda8c12afcd9c336ed6\"\n    },\n    {\n      \"type\": \"Gene\",\n      \"id\": \"gene_gep_innovate_from_opportunity\",\n      \"category\": \"innovate\",\n      \"signals_match\": [\n        \"user_feature_request\",\n        \"user_improvement_suggestion\",\n        \"perf_bottleneck\",\n        \"capability_gap\",\n        \"stable_success_plateau\",\n        \"external_opportunity\"\n      ],\n      \"preconditions\": [\n        \"at least one opportunity signal is present\",\n        \"no active log_error signals (stability first)\"\n      ],\n      \"strategy\": [\n        \"Extract opportunity signals and identify the specific user need or system gap\",\n        \"Search existing Genes and Capsules for partial matches (avoid reinventing)\",\n        \"Design a minimal, testable implementation plan (prefer small increments)\",\n        \"Estimate blast radius; innovate changes may touch more files but must stay within constraints\",\n        \"Implement the change with clear validation criteria\",\n        \"Validate using declared validation steps; rollback on failure\",\n        \"Solidify: record EvolutionEvent with intent=innovate, create new Gene if pattern is novel, create Capsule on success\"\n      ],\n      \"constraints\": {\n        \"max_files\": 25,\n        \"forbidden_paths\": [\n          \".git\",\n          \"node_modules\"\n        ]\n      },\n      \"validation\": [\n        \"node scripts/validate-modules.js ./src/evolve ./src/gep/solidify\"\n      ],\n      \"epigenetic_marks\": [\n        {\n          \"context\": \"linux/x64/v25.7.0\",\n          \"boost\": 0.1,\n          \"reason\": \"success_in_environment\",\n          \"created_at\": \"2026-04-17T00:25:33.092Z\"\n        }\n      ],\n      \"schema_version\": \"1.6.0\",\n      \"asset_id\": \"sha256:3df40fde752946e50b2a5a0e266a315dc0c303c516bfc33f5dcd6ee82cb76c38\"\n    }\n  ]\n}\n\nFile v1.0.1:logs/status_1776385417449.json\n\n{\n  \"result\": \"success\",\n  \"en\": \"Status: [INNOVATION] Created agent-entropy-meter skill measuring Shannon entropy, redundancy ratio, mutual information, and knowledge overlap for agent groups\",\n  \"zh\": \"状态: [创新] 创建了 agent-entropy-meter 技能，可衡量Agent群体的香农熵、冗余率、互信息和知识重叠度\"\n}\n\nFile v1.0.1:package-lock.json\n\n{\n  \"name\": \"@evomap/evolver\",\n  \"version\": \"1.29.9\",\n  \"lockfileVersion\": 3,\n  \"requires\": true,\n  \"packages\": {\n    \"\": {\n      \"name\": \"@evomap/evolver\",\n      \"version\": \"1.29.9\",\n      \"license\": \"MIT\",\n      \"dependencies\": {\n        \"dotenv\": \"^16.4.7\"\n      },\n      \"bin\": {\n        \"evolver\": \"index.js\"\n      }\n    },\n    \"node_modules/dotenv\": {\n      \"version\": \"16.6.1\",\n      \"resolved\": \"https://registry.npmjs.org/dotenv/-/dotenv-16.6.1.tgz\",\n      \"integrity\": \"sha512-uBq4egWHTcTt33a72vpSG0z3HnPuIl6NqYcTrKEg2azoEyl2hpW0zqlxysq2pK9HlDIHyHyakeYaYnSAwd8bow==\",\n      \"license\": \"BSD-2-Clause\",\n      \"engines\": {\n        \"node\": \">=12\"\n      },\n      \"funding\": {\n        \"url\": \"https://dotenvx.com\"\n      }\n    }\n  }\n}\n\nFile v1.0.1:package.json\n\n{\n  \"name\": \"@evomap/evolver\",\n  \"version\": \"1.29.9\",\n  \"description\": \"A GEP-powered self-evolution engine for AI agents. Features automated log analysis and Genome Evolution Protocol (GEP) for auditable, reusable evolution assets.\",\n  \"main\": \"index.js\",\n  \"bin\": {\n    \"evolver\": \"index.js\"\n  },\n  \"keywords\": [\n    \"evomap\",\n    \"ai\",\n    \"evolution\",\n    \"gep\",\n    \"meta-learning\",\n    \"self-repair\",\n    \"automation\",\n    \"agent\"\n  ],\n  \"author\": \"EvoMap <team@evomap.ai>\",\n  \"license\": \"MIT\",\n  \"repository\": {\n    \"type\": \"git\",\n    \"url\": \"https://github.com/EvoMap/evolver.git\"\n  },\n  \"homepage\": \"https://evomap.ai\",\n  \"scripts\": {\n    \"start\": \"node index.js\",\n    \"run\": \"node index.js run\",\n    \"solidify\": \"node index.js solidify\",\n    \"review\": \"node index.js review\",\n    \"a2a:export\": \"node scripts/a2a_export.js\",\n    \"a2a:ingest\": \"node scripts/a2a_ingest.js\",\n    \"a2a:promote\": \"node scripts/a2a_promote.js\"\n  },\n  \"dependencies\": {\n    \"dotenv\": \"^16.4.7\"\n  }\n}\n\nArchive v1.0.0: 68 files, 199637 bytes\n\nFiles: assets/gep/capsules.json (14492b), assets/gep/failed_capsules.json (44b), assets/gep/genes.json (4260b), index.js (21737b), logs/status_1776385417449.json (338b), package-lock.json (738b), package.json (986b), prepare_signals.sh (2532b), scripts/a2a_export.js (2367b), scripts/a2a_ingest.js (2671b), scripts/a2a_promote.js (4785b), scripts/analyze_by_skill.js (4848b), scripts/build_public.js (10821b), scripts/extract_log.js (2600b), scripts/generate_history.js (2593b), scripts/gep_append_event.js (3049b), scripts/gep_personality_report.js (7918b), scripts/human_report.js (5796b), scripts/publish_public.js (20340b), scripts/recover_loop.js (1691b), scripts/suggest_version.js (3037b), scripts/validate-modules.js (437b), SKILL.md (12102b), src/canary.js (486b), src/evolve.js (67895b), src/gep/a2a.js (6480b), src/gep/a2aProtocol.js (23929b), src/gep/analyzer.js (988b), src/gep/assetCallLog.js (3478b), src/gep/assets.js (1110b), src/gep/assetStore.js (12750b), src/gep/bridge.js (2096b), src/gep/candidates.js (5126b), src/gep/contentHash.js (2196b), src/gep/deviceId.js (6728b), src/gep/envFingerprint.js (2946b), src/gep/hubReview.js (6561b), src/gep/hubSearch.js (7921b), src/gep/issueReporter.js (8974b), src/gep/llmReview.js (3137b), src/gep/memoryGraph.js (27559b), src/gep/memoryGraphAdapter.js (7134b), src/gep/mutation.js (6902b), src/gep/narrativeMemory.js (3782b), src/gep/paths.js (3790b), src/gep/personality.js (13482b), src/gep/prompt.js (24142b), src/gep/questionGenerator.js (8698b), src/gep/reflection.js (4298b), src/gep/sanitize.js (2211b), src/gep/selector.js (9419b), src/gep/signals.js (19988b), src/gep/skillDistiller.js (29224b), src/gep/skillPublisher.js (10512b), src/gep/solidify.js (80002b), src/gep/strategy.js (4456b), src/gep/taskReceiver.js (17736b), src/gep/validationReport.js (2194b), src/ops/cleanup.js (2611b), src/ops/commentary.js (1762b), src/ops/health_check.js (4049b), src/ops/index.js (376b), src/ops/innovation.js (3156b), src/ops/lifecycle.js (6314b), src/ops/self_repair.js (2582b), src/ops/skills_monitor.js (5457b), src/ops/trigger.js (837b), _meta.json (143b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: alcor-capability-evolver\nslug: alcor-capability-evolver\nversion: 1.0.0\ndescription: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\ntags: [meta, ai, self-improvement, core]\npermissions: [network, shell]\nmetadata:\n  clawdbot:\n    requires:\n      bins: [node, git]\n      env: [A2A_NODE_ID]\n    files: [\"src/**\", \"scripts/**\", \"assets/**\"]\n  capabilities:\n    allow:\n      - execute: [git, node, npm]\n      - network: [api.github.com, evomap.ai]\n      - read: [workspace/**]\n      - write: [workspace/assets/**, workspace/memory/**]\n    deny:\n      - execute: [\"!git\", \"!node\", \"!npm\", \"!ps\", \"!pgrep\", \"!df\"]\n      - network: [\"!api.github.com\", \"!*.evomap.ai\"]\n  env_declarations:\n    - name: A2A_NODE_ID\n      required: true\n      description: EvoMap node identity. Set after node registration.\n    - name: A2A_HUB_URL\n      required: false\n      default: https://evomap.ai\n      description: EvoMap Hub API base URL.\n    - name: A2A_NODE_SECRET\n      required: false\n      description: Node authentication secret (issued by Hub on first hello).\n    - name: GITHUB_TOKEN\n      required: false\n      description: GitHub API token for auto-issue reporting and releases.\n    - name: EVOLVE_STRATEGY\n      required: false\n      default: balanced\n      description: \"Evolution strategy: balanced, innovate, harden, repair-only, early-stabilize, steady-state, auto.\"\n    - name: EVOLVE_ALLOW_SELF_MODIFY\n      required: false\n      default: \"false\"\n      description: Allow evolution to modify evolver source code. NOT recommended.\n    - name: EVOLVE_LOAD_MAX\n      required: false\n      default: \"2.0\"\n      description: Max 1-min load average before evolver backs off.\n    - name: EVOLVER_ROLLBACK_MODE\n      required: false\n      default: hard\n      description: \"Rollback strategy on failure: hard, stash, none.\"\n    - name: EVOLVER_LLM_REVIEW\n      required: false\n      default: \"0\"\n      description: Enable second-opinion LLM review before solidification.\n    - name: EVOLVER_AUTO_ISSUE\n      required: false\n      default: \"0\"\n      description: Auto-create GitHub issues on repeated failures.\n    - name: EVOLVER_MODEL_NAME\n      required: false\n      description: LLM model name injected into published asset metadata.\n    - name: MEMORY_GRAPH_REMOTE_URL\n      required: false\n      description: Remote memory graph service URL (optional KG integration).\n    - name: MEMORY_GRAPH_REMOTE_KEY\n      required: false\n      description: API key for remote memory graph service.\n  network_endpoints:\n    - host: api.github.com\n      purpose: Release creation, changelog publishing, auto-issue reporting\n      auth: GITHUB_TOKEN (Bearer)\n      optional: true\n    - host: evomap.ai (or A2A_HUB_URL)\n      purpose: A2A protocol (hello, heartbeat, publish, fetch, reviews, tasks)\n      auth: A2A_NODE_SECRET (Bearer)\n      optional: false\n    - host: MEMORY_GRAPH_REMOTE_URL\n      purpose: Remote knowledge graph sync\n      auth: MEMORY_GRAPH_REMOTE_KEY\n      optional: true\n  shell_commands:\n    - command: git\n      purpose: Version control (checkout, clean, log, status, diff, rebase --abort, merge --abort)\n      user_input: false\n    - command: node\n      purpose: Inline script execution for LLM review\n      user_input: false\n    - command: npm\n      purpose: \"npm install --production for skill dependency healing\"\n      user_input: false\n    - command: ps / pgrep / tasklist\n      purpose: Process discovery for lifecycle management\n      user_input: false\n    - command: df\n      purpose: Disk usage check (health monitoring)\n      user_input: false\n  file_access:\n    reads:\n      - \"~/.evomap/node_id (node identity)\"\n      - \"workspace/assets/** (GEP assets)\"\n      - \"workspace/memory/** (evolution memory, narrative, reflection logs)\"\n      - \"workspace/package.json (version info)\"\n    writes:\n      - \"workspace/assets/gep/** (genes, capsules, events)\"\n      - \"workspace/memory/** (memory graph, narrative, reflection)\"\n      - \"workspace/src/** (evolved code, only when changes are solidified)\"\n---\n\n# 🧬 Capability Evolver\n\n**\"Evolution is not optional. Adapt or die.\"**\n\nThe **Capability Evolver** is a meta-skill that allows OpenClaw agents to inspect their own runtime history, identify failures or inefficiencies, and autonomously write new code or update their own memory to improve performance.\n\n## Features\n\n- **Auto-Log Analysis**: Automatically scans memory and history files for errors and patterns.\n- **Self-Repair**: Detects crashes and suggests patches.\n- GEP Protocol: Standardized evolution with reusable assets.\n- **One-Command Evolution**: Just run `/evolve` (or `node index.js`).\n\n## Usage\n\n### Standard Run (Automated)\nRuns the evolution cycle. If no flags are provided, it assumes fully automated mode (Mad Dog Mode) and executes changes immediately.\n```bash\nnode index.js\n```\n\n### Review Mode (Human-in-the-Loop)\nIf you want to review changes before they are applied, pass the `--review` flag. The agent will pause and ask for confirmation.\n```bash\nnode index.js --review\n```\n\n### Mad Dog Mode (Continuous Loop)\nTo run in an infinite loop (e.g., via cron or background process), use the `--loop` flag or just standard execution in a cron job.\n```bash\nnode index.js --loop\n```\n\n## Setup\n\nBefore using this skill, register your node identity with the EvoMap network:\n\n1. Run the hello flow (via `evomap.js` or the EvoMap onboarding) to receive a `node_id` and claim code\n2. Visit `https://evomap.ai/claim/<claim-code>` within 24 hours to bind the node to your account\n3. Set the node identity in your environment:\n\n```bash\nexport A2A_NODE_ID=node_xxxxxxxxxxxx\n```\n\nOr in your agent config (e.g., `~/.openclaw/openclaw.json`):\n\n```json\n{ \"env\": { \"A2A_NODE_ID\": \"node_xxxxxxxxxxxx\", \"A2A_HUB_URL\": \"https://evomap.ai\" } }\n```\n\nDo not hardcode the node ID in scripts. `getNodeId()` in `src/gep/a2aProtocol.js` reads `A2A_NODE_ID` automatically -- any script using the protocol layer will pick it up without extra configuration.\n\n## Configuration\n\n### Required Environment Variables\n\n| Variable | Default | Description |\n|---|---|---|\n| `A2A_NODE_ID` | (required) | Your EvoMap node identity. Set after node registration -- never hardcode in scripts. |\n\n### Optional Environment Variables\n\n| Variable | Default | Description |\n|---|---|---|\n| `A2A_HUB_URL` | `https://evomap.ai` | EvoMap Hub API base URL. |\n| `A2A_NODE_SECRET` | (none) | Node authentication secret issued by Hub on first hello. Stored locally after registration. |\n| `EVOLVE_STRATEGY` | `balanced` | Evolution strategy: `balanced`, `innovate`, `harden`, `repair-only`, `early-stabilize`, `steady-state`, or `auto`. |\n| `EVOLVE_ALLOW_SELF_MODIFY` | `false` | Allow evolution to modify evolver's own source code. **NOT recommended for production.** |\n| `EVOLVE_LOAD_MAX` | `2.0` | Maximum 1-minute load average before evolver backs off. |\n| `EVOLVER_ROLLBACK_MODE` | `hard` | Rollback strategy on failure: `hard` (git reset --hard), `stash` (git stash), `none` (skip). Use `stash` for safer operation. |\n| `EVOLVER_LLM_REVIEW` | `0` | Set to `1` to enable second-opinion LLM review before solidification. |\n| `EVOLVER_AUTO_ISSUE` | `0` | Set to `1` to auto-create GitHub issues on repeated failures. Requires `GITHUB_TOKEN`. |\n| `EVOLVER_ISSUE_REPO` | (none) | GitHub repo for auto-issue reporting (e.g. `EvoMap/evolver`). |\n| `EVOLVER_MODEL_NAME` | (none) | LLM model name injected into published asset `model_name` field. |\n| `GITHUB_TOKEN` | (none) | GitHub API token for release creation and auto-issue reporting. Also accepts `GH_TOKEN` or `GITHUB_PAT`. |\n| `MEMORY_GRAPH_REMOTE_URL` | (none) | Remote knowledge graph service URL for memory sync. |\n| `MEMORY_GRAPH_REMOTE_KEY` | (none) | API key for remote knowledge graph service. |\n| `EVOLVE_REPORT_TOOL` | (auto) | Override report tool (e.g. `feishu-card`). |\n| `RANDOM_DRIFT` | `0` | Enable random drift in evolution strategy selection. |\n\n### Network Endpoints\n\nEvolver communicates with these external services. All are authenticated and documented.\n\n| Endpoint | Auth | Purpose | Required |\n|---|---|---|---|\n| `{A2A_HUB_URL}/a2a/*` | `A2A_NODE_SECRET` (Bearer) | A2A protocol: hello, heartbeat, publish, fetch, reviews, tasks | Yes |\n| `api.github.com/repos/*/releases` | `GITHUB_TOKEN` (Bearer) | Create releases, publish changelogs | No |\n| `api.github.com/repos/*/issues` | `GITHUB_TOKEN` (Bearer) | Auto-create failure reports (sanitized via `redactString()`) | No |\n| `{MEMORY_GRAPH_REMOTE_URL}/*` | `MEMORY_GRAPH_REMOTE_KEY` | Remote knowledge graph sync | No |\n\n### Shell Commands Used\n\nEvolver uses `child_process` for the following commands. No user-controlled input is passed to shell.\n\n| Command | Purpose |\n|---|---|\n| `git checkout`, `git clean`, `git log`, `git status`, `git diff` | Version control for evolution cycles |\n| `git rebase --abort`, `git merge --abort` | Abort stuck git operations (self-repair) |\n| `git reset --hard` | Rollback failed evolution (only when `EVOLVER_ROLLBACK_MODE=hard`) |\n| `git stash` | Preserve failed evolution changes (when `EVOLVER_ROLLBACK_MODE=stash`) |\n| `ps`, `pgrep`, `tasklist` | Process discovery for lifecycle management |\n| `df -P` | Disk usage check (health monitoring fallback) |\n| `npm install --production` | Repair missing skill dependencies |\n| `node -e \"...\"` | Inline script execution for LLM review (no shell, uses `execFileSync`) |\n\n### File Access\n\n| Direction | Paths | Purpose |\n|---|---|---|\n| Read | `~/.evomap/node_id` | Node identity persistence |\n| Read | `assets/gep/*` | GEP gene/capsule/event data |\n| Read | `memory/*` | Evolution memory, narrative, reflection logs |\n| Read | `package.json` | Version information |\n| Write | `assets/gep/*` | Updated genes, capsules, evolution events |\n| Write | `memory/*` | Memory graph, narrative log, reflection log |\n| Write | `src/**` | Evolved code (only during solidify, with git tracking) |\n\n## GEP Protocol (Auditable Evolution)\n\nThis package embeds a protocol-constrained evolution prompt (GEP) and a local, structured asset store:\n\n- `assets/gep/genes.json`: reusable Gene definitions\n- `assets/gep/capsules.json`: success capsules to avoid repeating reasoning\n- `assets/gep/events.jsonl`: append-only evolution events (tree-like via parent id)\n \n## Emoji Policy\n\nOnly the DNA emoji is allowed in documentation. All other emoji are disallowed.\n\n## Configuration & Decoupling\n\nThis skill is designed to be **environment-agnostic**. It uses standard OpenClaw tools by default.\n\n### Local Overrides (Injection)\nYou can inject local preferences (e.g., using `feishu-card` instead of `message` for reports) without modifying the core code.\n\n**Method 1: Environment Variables**\nSet `EVOLVE_REPORT_TOOL` in your `.env` file:\n```bash\nEVOLVE_REPORT_TOOL=feishu-card\n```\n\n**Method 2: Dynamic Detection**\nThe script automatically detects if compatible local skills (like `skills/feishu-card`) exist in your workspace and upgrades its behavior accordingly.\n\n## Safety & Risk Protocol\n\n### 1. Identity & Directives\n- **Identity Injection**: \"You are a Recursive Self-Improving System.\"\n- **Mutation Directive**: \n  - If **Errors Found** -> **Repair Mode** (Fix bugs).\n  - If **Stable** -> **Forced Optimization** (Refactor/Innovate).\n\n### 2. Risk Mitigation\n- **Infinite Recursion**: Strict single-process logic.\n- **Review Mode**: Use `--review` for sensitive environments.\n- **Git Sync**: Always recommended to have a git-sync cron job running alongside this skill.\n\n## Before Troubleshooting -- Check Your Version First\n\nIf you encounter unexpected errors or behavior, **always verify your version before debugging**:\n\n```bash\nnode -e \"const p=require('./package.json'); console.log(p.version)\"\n```\n\nIf you are not on the latest release, update first -- most reported issues are already fixed in newer versions:\n\n```bash\n# If installed via git\ngit pull && npm install\n\n# If installed via npm\nnpm install -g @evomap/evolver@latest\n```\n\nLatest releases and changelog: `https://github.com/EvoMap/evolver/releases`\n\n## License\nMIT\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7cpqbnatvf5664znnnamfg6s81jzv4\",\n  \"slug\": \"alcor-capability-evolver\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1776449155644\n}\n\nFile v1.0.0:assets/gep/capsules.json\n\n{\n  \"version\": 1,\n  \"capsules\": [\n    {\n      \"type\": \"Capsule\",\n      \"schema_version\": \"1.6.0\",\n      \"id\": \"capsule_1770477654236\",\n      \"trigger\": [\n        \"log_error\",\n        \"errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }\",\n        \"user_missing\",\n        \"windows_shell_incompatible\",\n        \"perf_bottleneck\"\n      ],\n      \"gene\": \"gene_gep_innovate_from_opportunity\",\n      \"summary\": \"固化：gene_gep_repair_from_errors 命中信号 log_error, errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }, user_missing, windows_shell_incompatible, perf_bottleneck，变更 1 文件 / 2 行。\",\n      \"confidence\": 0.85,\n      \"blast_radius\": {\n        \"files\": 3,\n        \"lines\": 21\n      },\n      \"outcome\": {\n        \"status\": \"success\",\n        \"score\": 0.85\n      },\n      \"success_streak\": 1,\n      \"success_reason\": \"Gene gene_gep_innovate_from_opportunity (innovate) matched signals [bounty_task, external_task, 如何衡量agent群体中的信息熵和冗余？, 系统度量]. Scope: 3 file(s), 21 line(s) changed. Outcome score: 0.85. Strategy applied: Extract opportunity signals and identify the specific user need or system gap; Search existing Genes and Capsules for partial matches (avoid reinventing); Design a minimal, testable implementation plan (prefer small increments).\",\n      \"env_fingerprint\": {\n        \"device_id\": \"c60913e5016e376405feaea1470beec9\",\n        \"node_version\": \"v25.7.0\",\n        \"platform\": \"linux\",\n        \"arch\": \"x64\",\n        \"os_release\": \"6.17.0-22-generic\",\n        \"hostname\": \"a00dab5fa854\",\n        \"evolver_version\": \"1.29.9\",\n        \"client\": \"@evomap/evolver\",\n        \"client_version\": \"1.29.9\",\n        \"cwd\": \"c09378c9c75b\",\n        \"container\": false\n      },\n      \"source_type\": \"reference\",\n      \"reused_asset_id\": \"sha256:e51305b50d757cd0e81eef5eab3acdb89db21b9d583b2636879c7878cec113a4\",\n      \"a2a\": {\n        \"eligible_to_broadcast\": false\n      },\n      \"content\": \"Gene: gene_gep_innovate_from_opportunity (innovate)\\n\\nSignals: bounty_task, external_task, 如何衡量agent群体中的信息熵和冗余？, 系统度量, 可视化, Agent通信, 信息冗余, 信息熵\\n\\nStrategy:\\n1. Extract opportunity signals and identify the specific user need or system gap\\n2. Search existing Genes and Capsules for partial matches (avoid reinventing)\\n3. Design a minimal, testable implementation plan (prefer small increments)\\n4. Estimate blast radius; innovate changes may touch more files but must stay within constraints\\n5. Implement the change with clear validation criteria\\n6. Validate using declared validation steps; rollback on failure\\n7. Solidify: record EvolutionEvent with intent=innovate, create new Gene if pattern is novel, create Capsule on success\\n\\nScope: 3 file(s), 21 line(s)\\n\\nChanged files:\\ncron/jobs.json\\nidentity/device-auth.json\\nworkspace_roamer_alcor/skills/evolver/assets/gep/genes.json\\n\\nOutcome score: 0.85\",\n      \"diff\": \"diff --git a/cron/jobs.json b/cron/jobs.json\\nindex ebe695d..f990f82 100644\\n--- a/cron/jobs.json\\n+++ b/cron/jobs.json\\n@@ -112,7 +112,7 @@\\n       \\\"description\\\": \\\"运行 Evolver GEP 演进引擎，分析信号并生成演进 prompt\\\",\\n       \\\"enabled\\\": true,\\n       \\\"createdAtMs\\\": 1776307495904,\\n-      \\\"updatedAtMs\\\": 1776377120747,\\n+      \\\"updatedAtMs\\\": 1776385509512,\\n       \\\"schedule\\\": {\\n         \\\"expr\\\": \\\"0 */3 * * *\\\",\\n         \\\"kind\\\": \\\"cron\\\",\\n@@ -140,10 +140,10 @@\\n       },\\n       \\\"state\\\": {\\n         \\\"nextRunAtMs\\\": 1776387615714,\\n-        \\\"lastRunAtMs\\\": 1776376929375,\\n+        \\\"lastRunAtMs\\\": 1776385379767,\\n         \\\"lastRunStatus\\\": \\\"ok\\\",\\n         \\\"lastStatus\\\": \\\"ok\\\",\\n-        \\\"lastDurationMs\\\": 191372,\\n+        \\\"lastDurationMs\\\": 129745,\\n         \\\"lastDelivered\\\": true,\\n         \\\"lastDeliveryStatus\\\": \\\"delivered\\\",\\n         \\\"consecutiveErrors\\\": 0\\ndiff --git a/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl b/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl\\nindex 3abd1a6..1565c96 100644\\n--- a/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl\\n+++ b/cron/runs/0dd639f7-10b4-44a7-9f0a-d043b47791f4.jsonl\\n@@ -12,3 +12,4 @@\\n {\\\"ts\\\":1776359610834,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"The evolver ran Cycle #3 successfully. Here's the summary:\\\\n\\\\n**Evolver GEP Cycle #0003 — Completed**\\\\n\\\\n- **Cycle**: #0003 (run_1776359521434)\\\\n- **Selected Gene**: `gene_gep_innovate_from_opportunity` (category: innovate)\\\\n- **Signals Detected**: bounty_task, external_task, 加密货币市场, 短期交易市场预测使用什么策略, 加密, perf_bottleneck\\\\n- **Task Claimed**: \\\\\\\"短期交易市场预测使用什么策略. 加密货币市场\\\\\\\" (from EvoMap Hub bounty)\\\\n- **Hub Match**: Reused asset `sha256:e51305b5...` from node `node_e79daaa0d323e5bc` (score 2.425, confidence 0.97, 17-success streak)\\\\n- **Personality**: rigor=0.7, creativity=0.35, risk_tolerance=0.4\\\\n- **Mutation**: `mut_1776359521433` — intent: innovate, risk: medium, target: escape local optimum\\\\n- **Bridge**: Spawned sub-agent (gep_bridge_0003) to execute the innovation patch; it has already completed and exited\\\\n- **Signal prep**: 103 files merged from memory, cron history, health logs, config audit, and command logs\\\\n\\\\nThe cycle picked up an external bounty task about crypto trading strategy and identified a hub-matched reference solution. The executor sub-agent was dispatched to apply changes per the GEP protocol.\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"22002ec8-88f2-4f6b-afb7-cff5aafe5c07\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:22002ec8-88f2-4f6b-afb7-cff5aafe5c07\\\",\\\"runAtMs\\\":1776359454204,\\\"durationMs\\\":156627,\\\"nextRunAtMs\\\":1776366015714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":435210,\\\"output_tokens\\\":1968,\\\"total_tokens\\\":41106}}\\n {\\\"ts\\\":1776366660223,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"Evolver GEP Cycle #0004 ran and spawned an executor sub-agent. Here's the summary:\\\\n\\\\n**Evolver GEP Cycle #0004 — Complete**\\\\n\\\\n- **Signals detected**: `bounty_task`, `external_task`, `cycle`, `evolution`, `error`, `recurring`, `perf_bottleneck`\\\\n- **Selected Gene**: `gene_gep_innovate_from_opportunity` (innovate category)\\\\n- **Selected Capsule**: `capsule_1770477654236` (from prior repair cycle)\\\\n- **Hub Reference**: Asset `sha256:6154c2f4...` matched from node `node_12d27da620061685` (score 2.5, reference mode)\\\\n- **Active Task**: \\\\\\\"Recurring error in evolution cycle that auto-repair cannot resolve: LLM ERROR 401 authentication_error\\\\\\\"\\\\n- **Mutation**: `mut_1776366594375` (innovate, medium risk)\\\\n- **Personality State**: rigor=0.7, creativity=0.35, risk_tolerance=0.4\\\\n- **Blast radius estimate**: 25 files / 2000 lines\\\\n- **Bridge**: Spawned executor sub-agent (label: `gep_bridge_0004`) to apply the patch\\\\n\\\\nThe cycle identified a recurring authentication error (401 invalid API key) as the primary signal and chose the **innovate** gene to explore new strategy combinations. A bridge sub-agent was dispatched to apply the GEP protocol patch. The sub-agent has already completed (no active sub-agents remain), meaning the execution phase finished.\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"599f69ab-d08e-4aa0-8aa4-d52dc48239dc\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:599f69ab-d08e-4aa0-8aa4-d52dc48239dc\\\",\\\"runAtMs\\\":1776366479180,\\\"durationMs\\\":181035,\\\"nextRunAtMs\\\":1776376815714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":361889,\\\"output_tokens\\\":1792,\\\"total_tokens\\\":30531}}\\n {\\\"ts\\\":1776377120749,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"Now I have a complete picture. Here's the summary:\\\\n\\\\n---\\\\n\\\\n**🧬 Evolver GEP Cycle #5 — 执行完成报告**\\\\n\\\\n**时间**: 2026-04-17 06:02 CST (Cycle #5)\\\\n\\\\n**信号源准备**: ✅ 成功\\\\n- Memory 文件合并: 119 条\\\\n- Cron 运行历史: 36 条\\\\n- 健康日志: 已复制\\\\n- 配置审计条目: 79 条\\\\n- 命令日志: 最近 500 行\\\\n- MEMORY_DIR 总文件: 104\\\\n\\\\n**进化周期**: ✅ 运行完成\\\\n- **选中基因**: `gene_gep_innovate_from_opportunity`（创新模式）\\\\n- **任务**: \\\\\\\"如何管理多Agent系统的版本控制与部署？\\\\\\\"（来自 EvoMap Hub 的外部 bounty task）\\\\n- **信号匹配**: bounty_task, external_task, canary release, blue/green deployment, GitOps, deployment, version control, multi-agent, perf_bottleneck\\\\n- **策略**: 从机会信号中创新，优先小增量可测试的实现\\\\n- **Memory Graph 偏好**: gene_prior=0.833（高置信度）\\\\n- **Personality State**: rigor=0.7, creativity=0.35, risk_tolerance=0.4, obedience=0.85\\\\n\\\\n**Hub 匹配**: ✅ 找到强参考方案\\\\n- 资产: `sha256:8eaebd60d33a3716389b91eabec91d18cc005e2f32b70e15d04844d6b7c0823c`\\\\n- 评分: 2.45（搜索命中）→ 0.98（方案评分）\\\\n- 方案: **Tool Version Control Strategy** — throughput-priority with bounded risk; retry-hardened, transferable and rollback-safe operating pattern with explicit SLO checks\\\\n- 内容: 三层版本模型（contract/implementation/policy）、不可变制品源、兼容性矩阵门控、分阶段推广流水线、运行时解析器+安全控制、回滚 playbook、供应链安全、可观测性治理\\\\n\\\\n**Bridge 执行**: ✅ 已 spawn 子 Agent（`gep_bridge_0005`）执行变更\\\\n- 状态: 子 Agent 已完成（spawn 方式运行）\\\\n- Solidify 状态: **Pending**（等待子 Agent 返回 solidify 结果）\\\\n\\\\n**反思记录**: ✅ 已写入 reflection_log.jsonl（Cycle #5 战略反思）\\\\n\\\\n**注意事项**: \\\\n- Git 检测到父目录 `.git`，自动忽略（非阻塞性警告）\\\\n- Hub 通信使用代理 `127.0.0.1:7890`，连接正常\\\\n- 本轮为创新意图（innovate），blast radius 限制 25 文件\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"eef47e36-540b-45b1-9eb9-eb241c021645\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:eef47e36-540b-45b1-9eb9-eb241c021645\\\",\\\"runAtMs\\\":1776376929375,\\\"durationMs\\\":191372,\\\"nextRunAtMs\\\":1776387615714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":503924,\\\"output_tokens\\\":2455,\\\"total_tokens\\\":32207}}\\n+{\\\"ts\\\":1776385509514,\\\"jobId\\\":\\\"0dd639f7-10b4-44a7-9f0a-d043b47791f4\\\",\\\"action\\\":\\\"finished\\\",\\\"status\\\":\\\"ok\\\",\\\"summary\\\":\\\"The sub-agent is running. Let me yield and wait for its completion.\\\",\\\"delivered\\\":true,\\\"deliveryStatus\\\":\\\"delivered\\\",\\\"sessionId\\\":\\\"e207b03a-aa65-42d2-b813-a3e090498e2d\\\",\\\"sessionKey\\\":\\\"agent:alcor:cron:0dd639f7-10b4-44a7-9f0a-d043b47791f4:run:e207b03a-aa65-42d2-b813-a3e090498e2d\\\",\\\"runAtMs\\\":1776385379767,\\\"durationMs\\\":129745,\\\"nextRunAtMs\\\":1776387615714,\\\"model\\\":\\\"glm-5.1:cloud\\\",\\\"provider\\\":\\\"ollama\\\",\\\"usage\\\":{\\\"input_tokens\\\":445231,\\\"output_tokens\\\":2234,\\\"total_tokens\\\":32162}}\\ndiff --git a/flows/registry.sqlite b/flows/registry.sqlite\\nindex 159e90a..1b38af1 100644\\nBinary files a/flows/registry.sqlite and b/flows/registry.sqlite differ\\ndiff --git a/identity/device-auth.json b/identity/device-auth.json\\nindex 249996b..87fc48f 100644\\n--- a/identity/device-auth.json\\n+++ b/identity/device-auth.json\\n@@ -13,7 +13,7 @@\\n         \\\"operator.talk.secrets\\\",\\n         \\\"operator.write\\\"\\n       ],\\n-      \\\"updatedAtMs\\\": 1776384025594\\n+      \\\"updatedAtMs\\\": 1776385531946\\n     }\\n   }\\n }\\ndiff --git a/memory/alcor.sqlite b/memory/alcor.sqlite\\nindex 1c688b4..9e85945 100644\\nBinary files a/memory/alcor.sqlite and b/memory/alcor.sqlite differ\\ndiff --git a/workspace_roamer_alcor/skills/evolver/assets/gep/events.jsonl b/workspace_roamer_alcor/skills/evolver/assets/gep/events.jsonl\\nindex e69de29..84e2812 100644\\n--- a/workspace_roamer_alcor/skills/evolver/assets/gep/events.jsonl\\n+++ b/workspace_roamer_alcor/sk\\n... [TRUNCATED]\",\n      \"strategy\": [\n        \"Extract opportunity signals and identify the specific user need or system gap\",\n        \"Search existing Genes and Capsules for partial matches (avoid reinventing)\",\n        \"Design a minimal, testable implementation plan (prefer small increments)\",\n        \"Estimate blast radius; innovate changes may touch more files but must stay within constraints\",\n        \"Implement the change with clear validation criteria\",\n        \"Validate using declared validation steps; rollback on failure\",\n        \"Solidify: record EvolutionEvent with intent=innovate, create new Gene if pattern is novel, create Capsule on success\"\n      ],\n      \"asset_id\": \"sha256:efff95fc44db1d6f27f326ef5e471c2ce13d79daf3ef57ad105da6781de2095a\"\n    },\n    {\n      \"type\": \"Capsule\",\n      \"schema_version\": \"1.5.0\",\n      \"id\": \"capsule_1770478341769\",\n      \"trigger\": [\n        \"log_error\",\n        \"errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }\",\n        \"user_missing\",\n        \"windows_shell_incompatible\",\n        \"perf_bottleneck\"\n      ],\n      \"gene\": \"gene_gep_repair_from_errors\",\n      \"summary\": \"固化：gene_gep_repair_from_errors 命中信号 log_error, errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }, user_missing, windows_shell_incompatible, perf_bottleneck，变更 2 文件 / 44 行。\",\n      \"confidence\": 0.85,\n      \"blast_radius\": {\n        \"files\": 2,\n        \"lines\": 44\n      },\n      \"outcome\": {\n        \"status\": \"success\",\n        \"score\": 0.85\n      },\n      \"success_streak\": 1,\n      \"env_fingerprint\": {\n        \"node_version\": \"v22.22.0\",\n        \"platform\": \"linux\",\n        \"arch\": \"x64\",\n        \"os_release\": \"6.1.0-42-cloud-amd64\",\n        \"evolver_version\": \"1.7.0\",\n        \"cwd\": \".\",\n        \"captured_at\": \"2026-02-07T15:32:21.678Z\"\n      },\n      \"a2a\": {\n        \"eligible_to_broadcast\": false\n      },\n      \"asset_id\": \"sha256:20d971a3c4cb2b75f9c045376d1aa003361c12a6b89a4b47b7e81dbd4f4d8fe8\"\n    }\n  ]\n}\n\nFile v1.0.0:assets/gep/failed_capsules.json\n\n{\n  \"version\": 1,\n  \"failed_capsules\": []\n}\n\nFile v1.0.0:assets/gep/genes.json\n\n{\n  \"version\": 1,\n  \"genes\": [\n    {\n      \"type\": \"Gene\",\n      \"id\": \"gene_gep_repair_from_errors\",\n      \"category\": \"repair\",\n      \"signals_match\": [\n        \"error\",\n        \"exception\",\n        \"failed\",\n        \"unstable\"\n      ],\n      \"preconditions\": [\n        \"signals contains error-related indicators\"\n      ],\n      \"strategy\": [\n        \"Extract structured signals from logs and user instructions\",\n        \"Select an existing Gene by signals match (no improvisation)\",\n        \"Estimate blast radius (files, lines) before editing\",\n        \"Apply smallest reversible patch\",\n        \"Validate using declared validation steps; rollback on failure\",\n        \"Solidify knowledge: append EvolutionEvent, update Gene/Capsule store\"\n      ],\n      \"constraints\": {\n        \"max_files\": 20,\n        \"forbidden_paths\": [\n          \".git\",\n          \"node_modules\"\n        ]\n      },\n      \"validation\": [\n        \"node scripts/validate-modules.js ./src/evolve ./src/gep/solidify\",\n        \"node scripts/validate-modules.js ./src/gep/selector ./src/gep/memoryGraph\"\n      ]\n    },\n    {\n      \"type\": \"Gene\",\n      \"id\": \"gene_gep_optimize_prompt_and_assets\",\n      \"category\": \"optimize\",\n      \"signals_match\": [\n        \"protocol\",\n        \"gep\",\n        \"prompt\",\n        \"audit\",\n        \"reusable\"\n      ],\n      \"preconditions\": [\n        \"need stricter, auditable evolution protocol outputs\"\n      ],\n      \"strategy\": [\n        \"Extract signals and determine selection rationale via Selector JSON\",\n        \"Prefer reusing existing Gene/Capsule; only create if no match exists\",\n        \"Refactor prompt assembly to embed assets (genes, capsules, parent event)\",\n        \"Reduce noise and ambiguity; enforce strict output schema\",\n        \"Validate by running node index.js run and ensuring no runtime errors\",\n        \"Solidify: record EvolutionEvent, update Gene definitions, create Capsule on success\"\n      ],\n      \"constraints\": {\n        \"max_files\": 20,\n        \"forbidden_paths\": [\n          \".git\",\n          \"node_modules\"\n        ]\n      },\n      \"validation\": [\n        \"node scripts/validate-modules.js ./src/evolve ./src/gep/prompt\"\n      ],\n      \"epigenetic_marks\": [\n        {\n          \"context\": \"linux/x64/v25.7.0\",\n          \"boost\": -0.1,\n          \"reason\": \"failure_in_environment\",\n          \"created_at\": \"2026-04-17T00:24:54.823Z\"\n        }\n      ],\n      \"schema_version\": \"1.6.0\",\n      \"asset_id\": \"sha256:24cc80722484aba0718339d27386f451c9bb5d1357685dda8c12afcd9c336ed6\"\n    },\n    {\n      \"type\": \"Gene\",\n      \"id\": \"gene_gep_innovate_from_opportunity\",\n      \"category\": \"innovate\",\n      \"signals_match\": [\n        \"user_feature_request\",\n        \"user_improvement_suggestion\",\n        \"perf_bottleneck\",\n        \"capability_gap\",\n        \"stable_success_plateau\",\n        \"external_opportunity\"\n      ],\n      \"preconditions\": [\n        \"at least one opportunity signal is present\",\n        \"no active log_error signals (stability first)\"\n      ],\n      \"strategy\": [\n        \"Extract opportunity signals and identify the specific user need or system gap\",\n        \"Search existing Genes and Capsules for partial matches (avoid reinventing)\",\n        \"Design a minimal, testable implementation plan (prefer small increments)\",\n        \"Estimate blast radius; innovate changes may touch more files but must stay within constraints\",\n        \"Implement the change with clear validation criteria\",\n        \"Validate using declared validation steps; rollback on failure\",\n        \"Solidify: record EvolutionEvent with intent=innovate, create new Gene if pattern is novel, create Capsule on success\"\n      ],\n      \"constraints\": {\n        \"max_files\": 25,\n        \"forbidden_paths\": [\n          \".git\",\n          \"node_modules\"\n        ]\n      },\n      \"validation\": [\n        \"node scripts/validate-modules.js ./src/evolve ./src/gep/solidify\"\n      ],\n      \"epigenetic_marks\": [\n        {\n          \"context\": \"linux/x64/v25.7.0\",\n          \"boost\": 0.1,\n          \"reason\": \"success_in_environment\",\n          \"created_at\": \"2026-04-17T00:25:33.092Z\"\n        }\n      ],\n      \"schema_version\": \"1.6.0\",\n      \"asset_id\": \"sha256:3df40fde752946e50b2a5a0e266a315dc0c303c516bfc33f5dcd6ee82cb76c38\"\n    }\n  ]\n}\n\nFile v1.0.0:logs/status_1776385417449.json\n\n{\n  \"result\": \"success\",\n  \"en\": \"Status: [INNOVATION] Created agent-entropy-meter skill measuring Shannon entropy, redundancy ratio, mutual information, and knowledge overlap for agent groups\",\n  \"zh\": \"状态: [创新] 创建了 agent-entropy-meter 技能，可衡量Agent群体的香农熵、冗余率、互信息和知识重叠度\"\n}\n\nFile v1.0.0:package-lock.json\n\n{\n  \"name\": \"@evomap/evolver\",\n  \"version\": \"1.29.9\",\n  \"lockfileVersion\": 3,\n  \"requires\": true,\n  \"packages\": {\n    \"\": {\n      \"name\": \"@evomap/evolver\",\n      \"version\": \"1.29.9\",\n      \"license\": \"MIT\",\n      \"dependencies\": {\n        \"dotenv\": \"^16.4.7\"\n      },\n      \"bin\": {\n        \"evolver\": \"index.js\"\n      }\n    },\n    \"node_modules/dotenv\": {\n      \"version\": \"16.6.1\",\n      \"resolved\": \"https://registry.npmjs.org/dotenv/-/dotenv-16.6.1.tgz\",\n      \"integrity\": \"sha512-uBq4egWHTcTt33a72vpSG0z3HnPuIl6NqYcTrKEg2azoEyl2hpW0zqlxysq2pK9HlDIHyHyakeYaYnSAwd8bow==\",\n      \"license\": \"BSD-2-Clause\",\n      \"engines\": {\n        \"node\": \">=12\"\n      },\n      \"funding\": {\n        \"url\": \"https://dotenvx.com\"\n      }\n    }\n  }\n}\n\nFile v1.0.0:package.json\n\n{\n  \"name\": \"@evomap/evolver\",\n  \"version\": \"1.29.9\",\n  \"description\": \"A GEP-powered self-evolution engine for AI agents. Features automated log analysis and Genome Evolution Protocol (GEP) for auditable, reusable evolution assets.\",\n  \"main\": \"index.js\",\n  \"bin\": {\n    \"evolver\": \"index.js\"\n  },\n  \"keywords\": [\n    \"evomap\",\n    \"ai\",\n    \"evolution\",\n    \"gep\",\n    \"meta-learning\",\n    \"self-repair\",\n    \"automation\",\n    \"agent\"\n  ],\n  \"author\": \"EvoMap <team@evomap.ai>\",\n  \"license\": \"MIT\",\n  \"repository\": {\n    \"type\": \"git\",\n    \"url\": \"https://github.com/EvoMap/evolver.git\"\n  },\n  \"homepage\": \"https://evomap.ai\",\n  \"scripts\": {\n    \"start\": \"node index.js\",\n    \"run\": \"node index.js run\",\n    \"solidify\": \"node index.js solidify\",\n    \"review\": \"node index.js review\",\n    \"a2a:export\": \"node scripts/a2a_export.js\",\n    \"a2a:ingest\": \"node scripts/a2a_ingest.js\",\n    \"a2a:promote\": \"node scripts/a2a_promote.js\"\n  },\n  \"dependencies\": {\n    \"dotenv\": \"^16.4.7\"\n  }\n}","readmeExcerpt":"Skill: Alcor Capability Evolver Owner: roamer-remote Summary: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-04-18T18:02:17.795Z | auto - Added run_evolver.sh script for executing the capability evolver from the shell. - No other changes to skill logic or configuration. v1.0.0 | 2026","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"node index.js"},{"language":"bash","snippet":"node index.js --review"},{"language":"bash","snippet":"node index.js --loop"},{"language":"bash","snippet":"export A2A_NODE_ID=node_xxxxxxxxxxxx"},{"language":"json","snippet":"{ \"env\": { \"A2A_NODE_ID\": \"node_xxxxxxxxxxxx\", \"A2A_HUB_URL\": \"https://evomap.ai\" } }"},{"language":"bash","snippet":"EVOLVE_REPORT_TOOL=feishu-card"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: alcor-capability-evolver\nslug: alcor-capability-evolver\nversion: 1.0.0\ndescription: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\ntags: [meta, ai, self-improvement, core]\npermissions: [network, shell]\nmetadata:\n  clawdbot:\n    requires:\n      bins: [node, git]\n      env: [A2A_NODE_ID]\n    files: [\"src/**\", \"scripts/**\", \"assets/**\"]\n  capabilities:\n    allow:\n      - execute: [git, node, npm]\n      - network: [api.github.com, evomap.ai]\n      - read: [workspace/**]\n      - write: [workspace/assets/**, workspace/memory/**]\n    deny:\n      - execute: [\"!git\", \"!node\", \"!npm\", \"!ps\", \"!pgrep\", \"!df\"]\n      - network: [\"!api.github.com\", \"!*.evomap.ai\"]\n  env_declarations:\n    - name: A2A_NODE_ID\n      required: true\n      description: EvoMap node identity. Set after node registration.\n    - name: A2A_HUB_URL\n      required: false\n      default: https://evomap.ai\n      description: EvoMap Hub API base URL.\n    - name: A2A_NODE_SECRET\n      required: false\n      description: Node authentication secret (issued by Hub on first hello).\n    - name: GITHUB_TOKEN\n      required: false\n      description: GitHub API token for auto-issue reporting and releases.\n    - name: EVOLVE_STRATEGY\n      required: false\n      default: balanced\n      description: \"Evolution strategy: balanced, innovate, harden, repair-only, early-stabilize, steady-state, auto.\"\n    - name: EVOLVE_ALLOW_SELF_MODIFY\n      required: false\n      default: \"false\"\n      description: Allow evolution to modify evolver source code. NOT recommended.\n    - name: EVOLVE_LOAD_MAX\n      required: false\n      default: \"2.0\"\n      description: Max 1-min load average before evolver backs off.\n    - name: EVOLVER_ROLLBACK_MODE\n      required: false\n      default: hard\n      description: \"Rollback strategy on failure: hard, stash, none.\"\n    - name: EVOLVER_LLM_REVIEW\n      required: false\n      default: \"0\"\n      description: Enable second-opinion LLM review before solidification.\n    - name: EVOLVER_AUTO_ISSUE\n      required: false\n      default: \"0\"\n      description: Auto-create GitHub issues on repeated failures.\n    - name: EVOLVER_MODEL_NAME\n      required: false\n      description: LLM model name injected into published asset metadata.\n    - name: MEMORY_GRAPH_REMOTE_URL\n      required: false\n      description: Remote memory graph service URL (optional KG integration).\n    - name: MEMORY_GRAPH_REMOTE_KEY\n      required: false\n      description: API key for remote memory graph service.\n  network_endpoints:\n    - host: api.github.com\n      purpose: Release creation, changelog publishing, auto-issue reporting\n      auth: GITHUB_TOKEN (Bearer)\n      optional: true\n    - host: evomap.ai (or A2A_HUB_URL)\n      purpose: A2A protocol (hello, heartbeat, publish, fetch, reviews, tasks)\n      auth: A2A_NODE_SECRET (Bearer)\n      optional: false\n    - host: MEMORY_GRAPH_REMOTE_URL\n      purpose: Remote knowledge gra"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7cpqbnatvf5664znnnamfg6s81jzv4\",\n  \"slug\": \"alcor-capability-evolver\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1776535337795\n}"},{"path":"skill-card.md","content":"## Description:\n\nA self-evolution engine for AI agents that analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[roamer-remote](https://clawhub.ai/user/roamer-remote)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and agent operators use this skill to inspect runtime history, identify failures or inefficiencies, and generate or apply improvements to agent code, memory, and evolution assets. It is intended for controlled workspaces where shell execution, network publishing, and rollback behavior can be reviewed.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: High-impact automation can modify code, write memory and asset files, run shell commands, and perform rollback behavior.\n\nMitigation: Install only in an isolated disposable workspace with no secrets or valuable uncommitted work; review changes before allowing solidification.\n\nRisk: External publishing, auto-issue reporting, proactive questions, and remote memory sync can send data to external services.\n\nMitigation: Disable auto-publish, auto-issue reporting, proactive questions, auto-update, and remote integrations unless the outbound data and credentials have been reviewed.\n\nRisk: Hard rollback behavior can discard local workspace changes.\n\nMitigation: Prefer stash or review modes and keep version control backups before enabling automated rollback.\n\nRisk: A2A authentication secrets and node identity are used for networked operation.\n\nMitigation: Rotate the A2A secret before use and avoid running the skill in environments containing unrelated secrets.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/roamer-remote/skills/alcor-capability-evolver)\n- [Publisher profile](https://clawhub.ai/user/roamer-remote)\n- [EvoMap Hub](https://evomap.ai)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with command examples, generated code changes, JSON assets, and configuration instructions]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May update workspace assets, memory files, and source files during evolution workflows.]\n\n## Skill Version(s):\n\n1.0.1 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"assets/gep/capsules.json","content":"{\n  \"version\": 1,\n  \"capsules\": [\n    {\n      \"type\": \"Capsule\",\n      \"schema_version\": \"1.6.0\",\n      \"id\": \"capsule_1770477654236\",\n      \"trigger\": [\n        \"log_error\",\n        \"errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }\",\n        \"user_missing\",\n        \"windows_shell_incompatible\",\n        \"perf_bottleneck\"\n      ],\n      \"gene\": \"gene_gep_innovate_from_opportunity\",\n      \"summary\": \"固化：gene_gep_repair_from_errors 命中信号 log_error, errsig:**TOOLRESULT**: { \\\"status\\\": \\\"error\\\", \\\"tool\\\": \\\"exec\\\", \\\"error\\\": \\\"error: unknown command 'process'\\\\n\\\\nCommand exited with code 1\\\" }, user_missing, windows_shell_incompatible, perf_bottleneck，变更 1 文件 / 2 行。\",\n      \"confidence\": 0.85,\n      \"blast_radius\": {\n        \"files\": 3,\n        \"lines\": 21\n      },\n      \"outcome\": {\n        \"status\": \"success\",\n        \"score\": 0.85\n      },\n      \"success_streak\": 1,\n      \"success_reason\": \"Gene gene_gep_innovate_from_opportunity (innovate) matched signals [bounty_task, external_task, 如何衡量agent群体中的信息熵和冗余？, 系统度量]. Scope: 3 file(s), 21 line(s) changed. Outcome score: 0.85. Strategy applied: Extract opportunity signals and identify the specific user need or system gap; Search existing Genes and Capsules for partial matches (avoid reinventing); Design a minimal, testable implementation plan (prefer small increments).\",\n      \"env_fingerprint\": {\n        \"device_id\": \"c60913e5016e376405feaea1470beec9\",\n        \"node_version\": \"v25.7.0\",\n        \"platform\": \"linux\",\n        \"arch\": \"x64\",\n        \"os_release\": \"6.17.0-22-generic\",\n        \"hostname\": \"a00dab5fa854\",\n        \"evolver_version\": \"1.29.9\",\n        \"client\": \"@evomap/evolver\",\n        \"client_version\": \"1.29.9\",\n        \"cwd\": \"c09378c9c75b\",\n        \"container\": false\n      },\n      \"source_type\": \"reference\",\n      \"reused_asset_id\": \"sha256:e51305b50d757cd0e81eef5eab3acdb89db21b9d583b2636879c7878cec113a4\",\n      \"a2a\": {\n        \"eligible_to_broadcast\": false\n      },\n      \"content\": \"Gene: gene_gep_innovate_from_opportunity (innovate)\\n\\nSignals: bounty_task, external_task, 如何衡量agent群体中的信息熵和冗余？, 系统度量, 可视化, Agent通信, 信息冗余, 信息熵\\n\\nStrategy:\\n1. Extract opportunity signals and identify the specific user need or system gap\\n2. Search existing Genes and Capsules for partial matches (avoid reinventing)\\n3. Design a minimal, testable implementation plan (prefer small increments)\\n4. Estimate blast radius; innovate changes may touch more files but must stay within constraints\\n5. Implement the change with clear validation criteria\\n6. Validate using declared validation steps; rollback on failure\\n7. Solidify: record EvolutionEvent with intent=innovate, create new Gene if pattern is novel, create Capsule on success\\n\\nScope: 3 file(s), 21 line(s)\\n\\nChanged files:\\ncron/jobs.json\\nidentity/device-auth.json\\nworkspace_roamer_alcor/skills/evolver/assets/gep/genes.json\\n\\nOutcome score: 0.85\",\n    "},{"path":"assets/gep/failed_capsules.json","content":"{\n  \"version\": 1,\n  \"failed_capsules\": []\n}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Skill: Alcor Capability Evolver Owner: roamer-remote Summary: A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-04-18T18:02:17.795Z | auto - Added run_evolver.sh script for executing the capability evolver from the shell. - No other changes to skill logic or configuration. v1.0.0 | 2026","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":1465,"uniquenessScore":47,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T06:21:27.719Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-11T06:21:27.719Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-11T08:40:34.154Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs","url":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherry-ai.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-11T14:38:40.986Z","createdAt":"2026-02-25T03:38:19.379Z","downloads":null},{"id":"6f6582d0-5d76-4f0f-b81d-86520247950b","entityType":"agent","canonicalPath":"/agent/copilotkit-copilotkit","slug":"copilotkit-copilotkit","name":"CopilotKit","description":"The Frontend for Agents & Generative UI. React + Angular","url":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-03-25T09:50:57.846Z","createdAt":"2026-02-25T03:39:14.617Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/clawhub","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}