{"id":"8cfa954c-42a4-4c59-b9d3-7adbbc171e6b","entityType":"agent","slug":"crawl-17b1a1d85574d094-f0d85e41108c","name":"Crawled github.com f0d85e41","canonicalUrl":"https://www.xpersona.co/agent/crawl-17b1a1d85574d094-f0d85e41108c","canonicalPath":"/agent/crawl-17b1a1d85574d094-f0d85e41108c","generatedAt":"2026-10-09T20:41:01.827Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-04-15T02:16:51.016Z","emptyReason":null},"description":"of outcomes afterwards. Why build memory for AI agents? What does \"reflective practice\" mean here? I wrote a story: Wisdom, or Prompt-Engineering? Integration The skill instructions and hooks install into your agent's... of outcomes afterwards. Why build memory for AI agents? What does \"reflective practice\" mean here? I wrote a story: Wisdom, or Prompt-Engineering? Integration The skill instructions and hooks install into your agent's configuration automatically on first use (Claude Code, Kiro, OpenAI Codex, OpenClaw). Hooks inject keep now context at session start, on each prompt, and at session end — so the agent always knows its c","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.","installCommand":"clawhub skill install CRAWLED_DOC:17b1a1d85574d094016a487b9f9e39d7a8cb789387506764dd292f0f257c9d42:f0d85e41108ced0e","sourceUrl":"https://github.com/openclaw/skills/tree/main/skills/hughpyle/keep","homepage":"https://github.com/openclaw/skills/tree/main/skills/hughpyle/keep","primaryLinks":[{"label":"View on ClawHub","url":"https://github.com/openclaw/skills/tree/main/skills/hughpyle/keep","kind":"source"}],"safetyScore":84,"overallRank":75.1,"popularityScore":61,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"of outcomes afterwards. Why build memory for AI agents? What does \"reflective practice\" mean here? I wrote a story: Wisdom, or Prompt-Engineering? Integration T"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-04-15T02:16:51.016Z","emptyReason":"No protocol or capability metadata is available."},"protocols":[],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":0,"capabilityMatrix":{"rows":[],"flattenedTokens":""}},"adoption":{"evidence":{"source":"no-adoption-signals","verified":false,"confidence":"low","updatedAt":"2026-04-15T02:16:51.016Z","emptyReason":"No source adoption metrics were available."},"stars":null,"forks":null,"downloads":null,"packageName":null,"latestVersion":null,"tractionLabel":null},"release":{"evidence":{"source":"agent-index","verified":false,"confidence":"medium","updatedAt":"2026-04-15T02:16:49.834Z","emptyReason":null},"lastUpdatedAt":"2026-04-15T02:16:51.016Z","lastCrawledAt":"2026-04-15T02:16:49.834Z","lastIndexedAt":"2026-04-15T02:16:49.834Z","nextCrawlAt":null,"lastVerifiedAt":null,"highlights":[]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install CRAWLED_DOC:17b1a1d85574d094016a487b9f9e39d7a8cb789387506764dd292f0f257c9d42:f0d85e41108ced0e","setupComplexity":"medium","setupSteps":["Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.","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/crawl-17b1a1d85574d094-f0d85e41108c/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":[]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-09T20:41:01.827Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crawl-17b1a1d85574d094-f0d85e41108c/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":"2026-04-15T02:16:51.016Z","emptyReason":null},"readme":"of outcomes afterwards. Why build memory for AI agents? What does \"reflective practice\" mean here? I wrote a story: Wisdom, or Prompt-Engineering? Integration The skill instructions and hooks install into your agent's configuration automatically on first use (Claude Code, Kiro, OpenAI Codex, OpenClaw). Hooks inject keep now context at session start, on each prompt, and at session end — so the agent always knows its current intentions. Layer What it does Skill prompt Always in system prompt — guides reflection, breakdown capture, document indexing Hooks Inject keep now -n 10 context at session start, prompt submit, and session end Daily cron Scheduled deep reflection in an isolated session ( OpenClaw cron ) The CLI alone is enough to start. The hooks make it automatic. Installation Python 3.11–3.13 required. Use uv (recommended) or pip: uv tool install keep-skill Hosted (simplest — no loc","readmeExcerpt":"of outcomes afterwards. Why build memory for AI agents? What does \"reflective practice\" mean here? I wrote a story: Wisdom, or Prompt-Engineering? Integration The skill instructions and hooks install into your agent's configuration automatically on first use (Claude Code, Kiro, OpenAI Codex, OpenClaw). Hooks inject keep now context at session start, on each prompt, and at session end — so the agent always knows its c","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"of outcomes afterwards. Why build memory for AI agents? What does \"reflective practice\" mean here? I wrote a story: Wisdom, or Prompt-Engineering? Integration The skill instructions and hooks install into your agent's... of outcomes afterwards. Why build memory for AI agents? What does \"reflective practice\" mean here? I wrote a story: Wisdom, or Prompt-Engineering? Integration The skill instructions and hooks install into your agent's configuration automatically on first use (Claude Code, Kiro, OpenAI Codex, OpenClaw). Hooks inject keep now context at session start, on each prompt, and at session end — so the agent always knows its c","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":426,"uniquenessScore":62,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-04-15T02:16:51.016Z","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":"2026-04-15T02:16:51.016Z","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":"agent-directory","verified":false,"confidence":"low","updatedAt":"2026-10-09T20:41:01.827Z","emptyReason":"No close protocol neighbors were found."},"items":[],"links":{"hub":"/agent","source":"/agent/source/clawhub","protocols":[]}}}