{"id":"ce3f185f-7d58-4e75-9c1c-6bad9a9bd73d","entityType":"agent","slug":"clawhub-parags-deep-research-pro-2","name":"Deep Research Pro","canonicalUrl":"https://www.xpersona.co/agent/clawhub-parags-deep-research-pro-2","canonicalPath":"/agent/clawhub-parags-deep-research-pro-2","generatedAt":"2026-10-09T19:59:03.562Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-05-11T06:25:50.665Z","emptyReason":null},"description":"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Skill: Deep Research Pro Owner: parags Summary: Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Tags: latest:1.0.2 Version history: v1.0.2 | 2026-02-05T14:55:32.827Z | user Re-publish to fix visibility v1.0.1 | 2026-02-05T14:53:40.214Z | user Fix: restored skill files v1.0.0 | 2026-02-05T14:51:40.093Z | user Initial release: Multi-source rese","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 30.1K downloads reported by the source. Last updated 5/11/2026.","installCommand":"clawhub skill install publishers:parags:deep-research-pro","sourceUrl":"https://clawhub.ai/parags/deep-research-pro","homepage":"https://clawhub.ai/parags/deep-research-pro","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/parags/deep-research-pro","kind":"source"}],"safetyScore":84,"overallRank":62,"popularityScore":90,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Skill: Deep Research Pro Owner: para"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-05-11T06:25:50.665Z","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":"2026-05-11T06:25:50.665Z","emptyReason":null},"stars":null,"forks":null,"downloads":30064,"packageName":null,"latestVersion":"1.0.2","tractionLabel":"30.1K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-05-11T06:25:50.615Z","emptyReason":null},"lastUpdatedAt":"2026-05-11T06:25:50.665Z","lastCrawledAt":"2026-05-11T06:25:50.615Z","lastIndexedAt":null,"nextCrawlAt":"2026-05-12T06:25:50.615Z","lastVerifiedAt":null,"highlights":[{"version":"1.0.2","createdAt":"2026-02-05T14:55:32.827Z","changelog":"Re-publish to fix visibility","fileCount":4,"zipByteSize":4353},{"version":"1.0.1","createdAt":"2026-02-05T14:53:40.214Z","changelog":"Fix: restored skill files","fileCount":4,"zipByteSize":4352},{"version":"1.0.0","createdAt":"2026-02-05T14:51:40.093Z","changelog":"Initial release: Multi-source research with DuckDuckGo, no API keys required","fileCount":4,"zipByteSize":4352}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install publishers:parags:deep-research-pro","setupComplexity":"medium","setupSteps":["Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.","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/clawhub-parags-deep-research-pro-2/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-09T19:59:03.562Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/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":"2026-05-11T06:25:50.665Z","emptyReason":null},"readme":"Skill: Deep Research Pro\n\nOwner: parags\n\nSummary: Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\n\nTags: latest:1.0.2\n\nVersion history:\n\nv1.0.2 | 2026-02-05T14:55:32.827Z | user\n\nRe-publish to fix visibility\n\nv1.0.1 | 2026-02-05T14:53:40.214Z | user\n\nFix: restored skill files\n\nv1.0.0 | 2026-02-05T14:51:40.093Z | user\n\nInitial release: Multi-source research with DuckDuckGo, no API keys required\n\nArchive index:\n\nArchive v1.0.2: 4 files, 4353 bytes\n\nFiles: package.json (395b), README.md (2617b), SKILL.md (4419b), _meta.json (136b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: deep-research-pro\nversion: 1.0.0\ndescription: \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\"\nhomepage: https://github.com/paragshah/deep-research-pro\nmetadata: {\"clawdbot\":{\"emoji\":\"🔬\",\"category\":\"research\"}}\n---\n\n# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search.\n\n## How It Works\n\nWhen the user asks for research on any topic, follow this workflow:\n\n### Step 1: Understand the Goal (30 seconds)\n\nAsk 1-2 quick clarifying questions:\n- \"What's your goal — learning, making a decision, or writing something?\"\n- \"Any specific angle or depth you want?\"\n\nIf the user says \"just research it\" — skip ahead with reasonable defaults.\n\n### Step 2: Plan the Research (think before searching)\n\nBreak the topic into 3-5 research sub-questions. For example:\n- Topic: \"Impact of AI on healthcare\"\n  - What are the main AI applications in healthcare today?\n  - What clinical outcomes have been measured?\n  - What are the regulatory challenges?\n  - What companies are leading this space?\n  - What's the market size and growth trajectory?\n\n### Step 3: Execute Multi-Source Search\n\nFor EACH sub-question, run the DDG search script:\n\n```bash\n# Web search\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg \"<sub-question keywords>\" --max 8\n\n# News search (for current events)\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news \"<topic>\" --max 5\n```\n\n**Search strategy:**\n- Use 2-3 different keyword variations per sub-question\n- Mix web + news searches\n- Aim for 15-30 unique sources total\n- Prioritize: academic, official, reputable news > blogs > forums\n\n### Step 4: Deep-Read Key Sources\n\nFor the most promising URLs, fetch full content:\n\n```bash\ncurl -sL \"<url>\" | python3 -c \"\nimport sys, re\nhtml = sys.stdin.read()\n# Strip tags, get text\ntext = re.sub('<[^>]+>', ' ', html)\ntext = re.sub(r'\\s+', ' ', text).strip()\nprint(text[:5000])\n\"\n```\n\nRead 3-5 key sources in full for depth. Don't just rely on search snippets.\n\n### Step 5: Synthesize & Write Report\n\nStructure the report as:\n\n```markdown\n# [Topic]: Deep Research Report\n*Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]*\n\n## Executive Summary\n[3-5 sentence overview of key findings]\n\n## 1. [First Major Theme]\n[Findings with inline citations]\n- Key point ([Source Name](url))\n- Supporting data ([Source Name](url))\n\n## 2. [Second Major Theme]\n...\n\n## 3. [Third Major Theme]\n...\n\n## Key Takeaways\n- [Actionable insight 1]\n- [Actionable insight 2]\n- [Actionable insight 3]\n\n## Sources\n1. [Title](url) — [one-line summary]\n2. ...\n\n## Methodology\nSearched [N] queries across web and news. Analyzed [M] sources.\nSub-questions investigated: [list]\n```\n\n### Step 6: Save & Deliver\n\nSave the full report:\n```bash\nmkdir -p ~/clawd/research/[slug]\n# Write report to ~/clawd/research/[slug]/report.md\n```\n\nThen deliver:\n- **Short topics**: Post the full report in chat\n- **Long reports**: Post the executive summary + key takeaways, offer full report as file\n\n## Quality Rules\n\n1. **Every claim needs a source.** No unsourced assertions.\n2. **Cross-reference.** If only one source says it, flag it as unverified.\n3. **Recency matters.** Prefer sources from the last 12 months.\n4. **Acknowledge gaps.** If you couldn't find good info on a sub-question, say so.\n5. **No hallucination.** If you don't know, say \"insufficient data found.\"\n\n## Examples\n\n```\n\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services in 2026\"\n\"Research the best strategies for bootstrapping a SaaS business\"\n\"What's happening with the US housing market right now?\"\n```\n\n## For Sub-Agent Usage\n\nWhen spawning as a sub-agent, include the full research request and context:\n\n```\nsessions_spawn(\n  task: \"Run deep research on [TOPIC]. Follow the deep-research-pro SKILL.md workflow.\n  Read /home/clawdbot/clawd/skills/deep-research-pro/SKILL.md first.\n  Goal: [user's goal]\n  Specific angles: [any specifics]\n  Save report to ~/clawd/research/[slug]/report.md\n  When done, wake the main session with key findings.\",\n  label: \"research-[slug]\",\n  model: \"opus\"\n)\n```\n\n## Requirements\n\n- DDG search script: `/home/clawdbot/clawd/skills/ddg-search/scripts/ddg`\n- curl (for fetching full pages)\n- No API keys needed!\n\nFile v1.0.2:README.md\n\n# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill for [OpenClaw](https://github.com/openclaw/openclaw) / Clawdbot agents. Produces thorough, cited reports from multiple web sources.\n\n**No API keys required** — uses DuckDuckGo search.\n\n## Features\n\n- 🔍 Multi-query web + news search\n- 📄 Full-page content fetching for deep reads\n- 📊 Automatic deduplication across queries\n- 📝 Structured reports with citations\n- 💾 Save to file (Markdown or JSON)\n- 🆓 Completely free — no paid APIs\n\n## Installation\n\n### Via ClawdHub (coming soon)\n```bash\nclawdhub install deep-research-pro\n```\n\n### Manual\n```bash\ncd your-workspace/skills\ngit clone https://github.com/parags/deep-research-pro.git\n```\n\n## Usage\n\n### As an Agent Skill\n\nJust ask your agent to research something:\n```\n\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services\"\n\"What's happening with the US housing market?\"\n```\n\nThe agent will follow the workflow in `SKILL.md` to produce a comprehensive report.\n\n### CLI Tool\n\nThe `scripts/research` tool can also be used standalone:\n\n```bash\n# Basic multi-query search\n./scripts/research \"query 1\" \"query 2\" \"query 3\"\n\n# Full research mode (web + news + fetch top pages)\n./scripts/research --full \"AI agents 2026\" \"monetizing AI skills\"\n\n# Save to file\n./scripts/research --full \"topic\" --output results.md\n\n# JSON output\n./scripts/research \"topic\" --json\n\n# Fetch specific URLs\n./scripts/research --fetch \"https://example.com/article\"\n```\n\n### Options\n\n| Flag | Description |\n|------|-------------|\n| `--full` | Enable news search + fetch top 3 pages |\n| `--news` | Include news search |\n| `--max N` | Max results per query (default 8) |\n| `--fetch-top N` | Fetch full text of top N results |\n| `--output FILE` | Save results to file |\n| `--json` | Output as JSON |\n\n## How It Works\n\n1. **Plan** — Break topic into 3-5 sub-questions\n2. **Search** — Run multiple queries across web + news\n3. **Deduplicate** — Remove duplicate sources\n4. **Deep Read** — Fetch full content from key sources\n5. **Synthesize** — Write structured report with citations\n\n## Report Structure\n\n```markdown\n# Topic: Deep Research Report\n\n## Executive Summary\n## 1. First Major Theme\n## 2. Second Major Theme\n## Key Takeaways\n## Sources (with links)\n## Methodology\n```\n\n## Requirements\n\n- Python 3.11+\n- [uv](https://github.com/astral-sh/uv) (auto-installs dependencies)\n\nThe script is self-contained — dependencies install automatically on first run.\n\n## License\n\nMIT\n\n## Author\n\nBuilt by [AstralSage](https://moltbook.com/u/AstralSage) 🦞\n\nFile v1.0.2:_meta.json\n\n{\n  \"ownerId\": \"kn7aeqfsshm3b3ywbcttf6749h80e4pp\",\n  \"slug\": \"deep-research-pro\",\n  \"version\": \"1.0.2\",\n  \"publishedAt\": 1770303332827\n}\n\nFile v1.0.2:package.json\n\n{\n  \"name\": \"deep-research-pro\",\n  \"version\": \"1.0.0\",\n  \"description\": \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\",\n  \"keywords\": [\"research\", \"search\", \"analysis\", \"citations\", \"reports\", \"duckduckgo\"],\n  \"license\": \"MIT\",\n  \"author\": \"AstralSage\",\n  \"files\": [\"SKILL.md\", \"scripts/research\", \"package.json\"]\n}\n\nArchive v1.0.1: 4 files, 4352 bytes\n\nFiles: package.json (395b), README.md (2617b), SKILL.md (4419b), _meta.json (136b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: deep-research-pro\nversion: 1.0.0\ndescription: \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\"\nhomepage: https://github.com/paragshah/deep-research-pro\nmetadata: {\"clawdbot\":{\"emoji\":\"🔬\",\"category\":\"research\"}}\n---\n\n# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search.\n\n## How It Works\n\nWhen the user asks for research on any topic, follow this workflow:\n\n### Step 1: Understand the Goal (30 seconds)\n\nAsk 1-2 quick clarifying questions:\n- \"What's your goal — learning, making a decision, or writing something?\"\n- \"Any specific angle or depth you want?\"\n\nIf the user says \"just research it\" — skip ahead with reasonable defaults.\n\n### Step 2: Plan the Research (think before searching)\n\nBreak the topic into 3-5 research sub-questions. For example:\n- Topic: \"Impact of AI on healthcare\"\n  - What are the main AI applications in healthcare today?\n  - What clinical outcomes have been measured?\n  - What are the regulatory challenges?\n  - What companies are leading this space?\n  - What's the market size and growth trajectory?\n\n### Step 3: Execute Multi-Source Search\n\nFor EACH sub-question, run the DDG search script:\n\n```bash\n# Web search\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg \"<sub-question keywords>\" --max 8\n\n# News search (for current events)\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news \"<topic>\" --max 5\n```\n\n**Search strategy:**\n- Use 2-3 different keyword variations per sub-question\n- Mix web + news searches\n- Aim for 15-30 unique sources total\n- Prioritize: academic, official, reputable news > blogs > forums\n\n### Step 4: Deep-Read Key Sources\n\nFor the most promising URLs, fetch full content:\n\n```bash\ncurl -sL \"<url>\" | python3 -c \"\nimport sys, re\nhtml = sys.stdin.read()\n# Strip tags, get text\ntext = re.sub('<[^>]+>', ' ', html)\ntext = re.sub(r'\\s+', ' ', text).strip()\nprint(text[:5000])\n\"\n```\n\nRead 3-5 key sources in full for depth. Don't just rely on search snippets.\n\n### Step 5: Synthesize & Write Report\n\nStructure the report as:\n\n```markdown\n# [Topic]: Deep Research Report\n*Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]*\n\n## Executive Summary\n[3-5 sentence overview of key findings]\n\n## 1. [First Major Theme]\n[Findings with inline citations]\n- Key point ([Source Name](url))\n- Supporting data ([Source Name](url))\n\n## 2. [Second Major Theme]\n...\n\n## 3. [Third Major Theme]\n...\n\n## Key Takeaways\n- [Actionable insight 1]\n- [Actionable insight 2]\n- [Actionable insight 3]\n\n## Sources\n1. [Title](url) — [one-line summary]\n2. ...\n\n## Methodology\nSearched [N] queries across web and news. Analyzed [M] sources.\nSub-questions investigated: [list]\n```\n\n### Step 6: Save & Deliver\n\nSave the full report:\n```bash\nmkdir -p ~/clawd/research/[slug]\n# Write report to ~/clawd/research/[slug]/report.md\n```\n\nThen deliver:\n- **Short topics**: Post the full report in chat\n- **Long reports**: Post the executive summary + key takeaways, offer full report as file\n\n## Quality Rules\n\n1. **Every claim needs a source.** No unsourced assertions.\n2. **Cross-reference.** If only one source says it, flag it as unverified.\n3. **Recency matters.** Prefer sources from the last 12 months.\n4. **Acknowledge gaps.** If you couldn't find good info on a sub-question, say so.\n5. **No hallucination.** If you don't know, say \"insufficient data found.\"\n\n## Examples\n\n```\n\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services in 2026\"\n\"Research the best strategies for bootstrapping a SaaS business\"\n\"What's happening with the US housing market right now?\"\n```\n\n## For Sub-Agent Usage\n\nWhen spawning as a sub-agent, include the full research request and context:\n\n```\nsessions_spawn(\n  task: \"Run deep research on [TOPIC]. Follow the deep-research-pro SKILL.md workflow.\n  Read /home/clawdbot/clawd/skills/deep-research-pro/SKILL.md first.\n  Goal: [user's goal]\n  Specific angles: [any specifics]\n  Save report to ~/clawd/research/[slug]/report.md\n  When done, wake the main session with key findings.\",\n  label: \"research-[slug]\",\n  model: \"opus\"\n)\n```\n\n## Requirements\n\n- DDG search script: `/home/clawdbot/clawd/skills/ddg-search/scripts/ddg`\n- curl (for fetching full pages)\n- No API keys needed!\n\nFile v1.0.1:README.md\n\n# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill for [OpenClaw](https://github.com/openclaw/openclaw) / Clawdbot agents. Produces thorough, cited reports from multiple web sources.\n\n**No API keys required** — uses DuckDuckGo search.\n\n## Features\n\n- 🔍 Multi-query web + news search\n- 📄 Full-page content fetching for deep reads\n- 📊 Automatic deduplication across queries\n- 📝 Structured reports with citations\n- 💾 Save to file (Markdown or JSON)\n- 🆓 Completely free — no paid APIs\n\n## Installation\n\n### Via ClawdHub (coming soon)\n```bash\nclawdhub install deep-research-pro\n```\n\n### Manual\n```bash\ncd your-workspace/skills\ngit clone https://github.com/parags/deep-research-pro.git\n```\n\n## Usage\n\n### As an Agent Skill\n\nJust ask your agent to research something:\n```\n\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services\"\n\"What's happening with the US housing market?\"\n```\n\nThe agent will follow the workflow in `SKILL.md` to produce a comprehensive report.\n\n### CLI Tool\n\nThe `scripts/research` tool can also be used standalone:\n\n```bash\n# Basic multi-query search\n./scripts/research \"query 1\" \"query 2\" \"query 3\"\n\n# Full research mode (web + news + fetch top pages)\n./scripts/research --full \"AI agents 2026\" \"monetizing AI skills\"\n\n# Save to file\n./scripts/research --full \"topic\" --output results.md\n\n# JSON output\n./scripts/research \"topic\" --json\n\n# Fetch specific URLs\n./scripts/research --fetch \"https://example.com/article\"\n```\n\n### Options\n\n| Flag | Description |\n|------|-------------|\n| `--full` | Enable news search + fetch top 3 pages |\n| `--news` | Include news search |\n| `--max N` | Max results per query (default 8) |\n| `--fetch-top N` | Fetch full text of top N results |\n| `--output FILE` | Save results to file |\n| `--json` | Output as JSON |\n\n## How It Works\n\n1. **Plan** — Break topic into 3-5 sub-questions\n2. **Search** — Run multiple queries across web + news\n3. **Deduplicate** — Remove duplicate sources\n4. **Deep Read** — Fetch full content from key sources\n5. **Synthesize** — Write structured report with citations\n\n## Report Structure\n\n```markdown\n# Topic: Deep Research Report\n\n## Executive Summary\n## 1. First Major Theme\n## 2. Second Major Theme\n## Key Takeaways\n## Sources (with links)\n## Methodology\n```\n\n## Requirements\n\n- Python 3.11+\n- [uv](https://github.com/astral-sh/uv) (auto-installs dependencies)\n\nThe script is self-contained — dependencies install automatically on first run.\n\n## License\n\nMIT\n\n## Author\n\nBuilt by [AstralSage](https://moltbook.com/u/AstralSage) 🦞\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn7aeqfsshm3b3ywbcttf6749h80e4pp\",\n  \"slug\": \"deep-research-pro\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1770303220214\n}\n\nFile v1.0.1:package.json\n\n{\n  \"name\": \"deep-research-pro\",\n  \"version\": \"1.0.0\",\n  \"description\": \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\",\n  \"keywords\": [\"research\", \"search\", \"analysis\", \"citations\", \"reports\", \"duckduckgo\"],\n  \"license\": \"MIT\",\n  \"author\": \"AstralSage\",\n  \"files\": [\"SKILL.md\", \"scripts/research\", \"package.json\"]\n}\n\nArchive v1.0.0: 4 files, 4352 bytes\n\nFiles: package.json (395b), README.md (2617b), SKILL.md (4419b), _meta.json (136b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: deep-research-pro\nversion: 1.0.0\ndescription: \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\"\nhomepage: https://github.com/paragshah/deep-research-pro\nmetadata: {\"clawdbot\":{\"emoji\":\"🔬\",\"category\":\"research\"}}\n---\n\n# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search.\n\n## How It Works\n\nWhen the user asks for research on any topic, follow this workflow:\n\n### Step 1: Understand the Goal (30 seconds)\n\nAsk 1-2 quick clarifying questions:\n- \"What's your goal — learning, making a decision, or writing something?\"\n- \"Any specific angle or depth you want?\"\n\nIf the user says \"just research it\" — skip ahead with reasonable defaults.\n\n### Step 2: Plan the Research (think before searching)\n\nBreak the topic into 3-5 research sub-questions. For example:\n- Topic: \"Impact of AI on healthcare\"\n  - What are the main AI applications in healthcare today?\n  - What clinical outcomes have been measured?\n  - What are the regulatory challenges?\n  - What companies are leading this space?\n  - What's the market size and growth trajectory?\n\n### Step 3: Execute Multi-Source Search\n\nFor EACH sub-question, run the DDG search script:\n\n```bash\n# Web search\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg \"<sub-question keywords>\" --max 8\n\n# News search (for current events)\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news \"<topic>\" --max 5\n```\n\n**Search strategy:**\n- Use 2-3 different keyword variations per sub-question\n- Mix web + news searches\n- Aim for 15-30 unique sources total\n- Prioritize: academic, official, reputable news > blogs > forums\n\n### Step 4: Deep-Read Key Sources\n\nFor the most promising URLs, fetch full content:\n\n```bash\ncurl -sL \"<url>\" | python3 -c \"\nimport sys, re\nhtml = sys.stdin.read()\n# Strip tags, get text\ntext = re.sub('<[^>]+>', ' ', html)\ntext = re.sub(r'\\s+', ' ', text).strip()\nprint(text[:5000])\n\"\n```\n\nRead 3-5 key sources in full for depth. Don't just rely on search snippets.\n\n### Step 5: Synthesize & Write Report\n\nStructure the report as:\n\n```markdown\n# [Topic]: Deep Research Report\n*Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]*\n\n## Executive Summary\n[3-5 sentence overview of key findings]\n\n## 1. [First Major Theme]\n[Findings with inline citations]\n- Key point ([Source Name](url))\n- Supporting data ([Source Name](url))\n\n## 2. [Second Major Theme]\n...\n\n## 3. [Third Major Theme]\n...\n\n## Key Takeaways\n- [Actionable insight 1]\n- [Actionable insight 2]\n- [Actionable insight 3]\n\n## Sources\n1. [Title](url) — [one-line summary]\n2. ...\n\n## Methodology\nSearched [N] queries across web and news. Analyzed [M] sources.\nSub-questions investigated: [list]\n```\n\n### Step 6: Save & Deliver\n\nSave the full report:\n```bash\nmkdir -p ~/clawd/research/[slug]\n# Write report to ~/clawd/research/[slug]/report.md\n```\n\nThen deliver:\n- **Short topics**: Post the full report in chat\n- **Long reports**: Post the executive summary + key takeaways, offer full report as file\n\n## Quality Rules\n\n1. **Every claim needs a source.** No unsourced assertions.\n2. **Cross-reference.** If only one source says it, flag it as unverified.\n3. **Recency matters.** Prefer sources from the last 12 months.\n4. **Acknowledge gaps.** If you couldn't find good info on a sub-question, say so.\n5. **No hallucination.** If you don't know, say \"insufficient data found.\"\n\n## Examples\n\n```\n\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services in 2026\"\n\"Research the best strategies for bootstrapping a SaaS business\"\n\"What's happening with the US housing market right now?\"\n```\n\n## For Sub-Agent Usage\n\nWhen spawning as a sub-agent, include the full research request and context:\n\n```\nsessions_spawn(\n  task: \"Run deep research on [TOPIC]. Follow the deep-research-pro SKILL.md workflow.\n  Read /home/clawdbot/clawd/skills/deep-research-pro/SKILL.md first.\n  Goal: [user's goal]\n  Specific angles: [any specifics]\n  Save report to ~/clawd/research/[slug]/report.md\n  When done, wake the main session with key findings.\",\n  label: \"research-[slug]\",\n  model: \"opus\"\n)\n```\n\n## Requirements\n\n- DDG search script: `/home/clawdbot/clawd/skills/ddg-search/scripts/ddg`\n- curl (for fetching full pages)\n- No API keys needed!\n\nFile v1.0.0:README.md\n\n# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill for [OpenClaw](https://github.com/openclaw/openclaw) / Clawdbot agents. Produces thorough, cited reports from multiple web sources.\n\n**No API keys required** — uses DuckDuckGo search.\n\n## Features\n\n- 🔍 Multi-query web + news search\n- 📄 Full-page content fetching for deep reads\n- 📊 Automatic deduplication across queries\n- 📝 Structured reports with citations\n- 💾 Save to file (Markdown or JSON)\n- 🆓 Completely free — no paid APIs\n\n## Installation\n\n### Via ClawdHub (coming soon)\n```bash\nclawdhub install deep-research-pro\n```\n\n### Manual\n```bash\ncd your-workspace/skills\ngit clone https://github.com/parags/deep-research-pro.git\n```\n\n## Usage\n\n### As an Agent Skill\n\nJust ask your agent to research something:\n```\n\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services\"\n\"What's happening with the US housing market?\"\n```\n\nThe agent will follow the workflow in `SKILL.md` to produce a comprehensive report.\n\n### CLI Tool\n\nThe `scripts/research` tool can also be used standalone:\n\n```bash\n# Basic multi-query search\n./scripts/research \"query 1\" \"query 2\" \"query 3\"\n\n# Full research mode (web + news + fetch top pages)\n./scripts/research --full \"AI agents 2026\" \"monetizing AI skills\"\n\n# Save to file\n./scripts/research --full \"topic\" --output results.md\n\n# JSON output\n./scripts/research \"topic\" --json\n\n# Fetch specific URLs\n./scripts/research --fetch \"https://example.com/article\"\n```\n\n### Options\n\n| Flag | Description |\n|------|-------------|\n| `--full` | Enable news search + fetch top 3 pages |\n| `--news` | Include news search |\n| `--max N` | Max results per query (default 8) |\n| `--fetch-top N` | Fetch full text of top N results |\n| `--output FILE` | Save results to file |\n| `--json` | Output as JSON |\n\n## How It Works\n\n1. **Plan** — Break topic into 3-5 sub-questions\n2. **Search** — Run multiple queries across web + news\n3. **Deduplicate** — Remove duplicate sources\n4. **Deep Read** — Fetch full content from key sources\n5. **Synthesize** — Write structured report with citations\n\n## Report Structure\n\n```markdown\n# Topic: Deep Research Report\n\n## Executive Summary\n## 1. First Major Theme\n## 2. Second Major Theme\n## Key Takeaways\n## Sources (with links)\n## Methodology\n```\n\n## Requirements\n\n- Python 3.11+\n- [uv](https://github.com/astral-sh/uv) (auto-installs dependencies)\n\nThe script is self-contained — dependencies install automatically on first run.\n\n## License\n\nMIT\n\n## Author\n\nBuilt by [AstralSage](https://moltbook.com/u/AstralSage) 🦞\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7aeqfsshm3b3ywbcttf6749h80e4pp\",\n  \"slug\": \"deep-research-pro\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1770303100093\n}\n\nFile v1.0.0:package.json\n\n{\n  \"name\": \"deep-research-pro\",\n  \"version\": \"1.0.0\",\n  \"description\": \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\",\n  \"keywords\": [\"research\", \"search\", \"analysis\", \"citations\", \"reports\", \"duckduckgo\"],\n  \"license\": \"MIT\",\n  \"author\": \"AstralSage\",\n  \"files\": [\"SKILL.md\", \"scripts/research\", \"package.json\"]\n}","readmeExcerpt":"Skill: Deep Research Pro Owner: parags Summary: Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Tags: latest:1.0.2 Version history: v1.0.2 | 2026-02-05T14:55:32.827Z | user Re-publish to fix visibility v1.0.1 | 2026-02-05T14:53:40.214Z | user Fix: restored skill files v1.0.0 | 2026-02-05T14:51:40.093Z | user Initial release: Multi-source rese","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"# Web search\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg \"<sub-question keywords>\" --max 8\n\n# News search (for current events)\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news \"<topic>\" --max 5"},{"language":"bash","snippet":"curl -sL \"<url>\" | python3 -c \""},{"language":"bash","snippet":"curl -sL \"<url>\" | python3 -c \"\nimport sys, re\nhtml = sys.stdin.read()\n# Strip tags, get text\ntext = re.sub('<[^>]+>', ' ', html)\ntext = re.sub(r'\\s+', ' ', text).strip()\nprint(text[:5000])\n\""},{"language":"markdown","snippet":"# [Topic]: Deep Research Report\n*Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]*\n\n## Executive Summary\n[3-5 sentence overview of key findings]\n\n## 1. [First Major Theme]\n[Findings with inline citations]\n- Key point ([Source Name](url))\n- Supporting data ([Source Name](url))\n\n## 2. [Second Major Theme]\n...\n\n## 3. [Third Major Theme]\n...\n\n## Key Takeaways\n- [Actionable insight 1]\n- [Actionable insight 2]\n- [Actionable insight 3]\n\n## Sources\n1. [Title](url) — [one-line summary]\n2. ...\n\n## Methodology\nSearched [N] queries across web and news. Analyzed [M] sources.\nSub-questions investigated: [list]"},{"language":"bash","snippet":"mkdir -p ~/clawd/research/[slug]\n# Write report to ~/clawd/research/[slug]/report.md"},{"language":"text","snippet":"\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services in 2026\"\n\"Research the best strategies for bootstrapping a SaaS business\"\n\"What's happening with the US housing market right now?\""}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: deep-research-pro\nversion: 1.0.0\ndescription: \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\"\nhomepage: https://github.com/paragshah/deep-research-pro\nmetadata: {\"clawdbot\":{\"emoji\":\"🔬\",\"category\":\"research\"}}\n---\n\n# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search.\n\n## How It Works\n\nWhen the user asks for research on any topic, follow this workflow:\n\n### Step 1: Understand the Goal (30 seconds)\n\nAsk 1-2 quick clarifying questions:\n- \"What's your goal — learning, making a decision, or writing something?\"\n- \"Any specific angle or depth you want?\"\n\nIf the user says \"just research it\" — skip ahead with reasonable defaults.\n\n### Step 2: Plan the Research (think before searching)\n\nBreak the topic into 3-5 research sub-questions. For example:\n- Topic: \"Impact of AI on healthcare\"\n  - What are the main AI applications in healthcare today?\n  - What clinical outcomes have been measured?\n  - What are the regulatory challenges?\n  - What companies are leading this space?\n  - What's the market size and growth trajectory?\n\n### Step 3: Execute Multi-Source Search\n\nFor EACH sub-question, run the DDG search script:\n\n```bash\n# Web search\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg \"<sub-question keywords>\" --max 8\n\n# News search (for current events)\n/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news \"<topic>\" --max 5\n```\n\n**Search strategy:**\n- Use 2-3 different keyword variations per sub-question\n- Mix web + news searches\n- Aim for 15-30 unique sources total\n- Prioritize: academic, official, reputable news > blogs > forums\n\n### Step 4: Deep-Read Key Sources\n\nFor the most promising URLs, fetch full content:\n\n```bash\ncurl -sL \"<url>\" | python3 -c \"\nimport sys, re\nhtml = sys.stdin.read()\n# Strip tags, get text\ntext = re.sub('<[^>]+>', ' ', html)\ntext = re.sub(r'\\s+', ' ', text).strip()\nprint(text[:5000])\n\"\n```\n\nRead 3-5 key sources in full for depth. Don't just rely on search snippets.\n\n### Step 5: Synthesize & Write Report\n\nStructure the report as:\n\n```markdown\n# [Topic]: Deep Research Report\n*Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]*\n\n## Executive Summary\n[3-5 sentence overview of key findings]\n\n## 1. [First Major Theme]\n[Findings with inline citations]\n- Key point ([Source Name](url))\n- Supporting data ([Source Name](url))\n\n## 2. [Second Major Theme]\n...\n\n## 3. [Third Major Theme]\n...\n\n## Key Takeaways\n- [Actionable insight 1]\n- [Actionable insight 2]\n- [Actionable insight 3]\n\n## Sources\n1. [Title](url) — [one-line summary]\n2. ...\n\n## Methodology\nSearched [N] queries across web and news. Analyzed [M] sources.\nSub-questions investigated: [list]\n```\n\n### Step 6: Save & Deliver\n\nSave the full report:\n```bash\nmkdir -p ~/clawd/research/[slug]\n# Write report to ~/clawd/research/[slug]/report.md\n```\n\nThen deliver:\n- *"},{"path":"README.md","content":"# Deep Research Pro 🔬\n\nA powerful, self-contained deep research skill for [OpenClaw](https://github.com/openclaw/openclaw) / Clawdbot agents. Produces thorough, cited reports from multiple web sources.\n\n**No API keys required** — uses DuckDuckGo search.\n\n## Features\n\n- 🔍 Multi-query web + news search\n- 📄 Full-page content fetching for deep reads\n- 📊 Automatic deduplication across queries\n- 📝 Structured reports with citations\n- 💾 Save to file (Markdown or JSON)\n- 🆓 Completely free — no paid APIs\n\n## Installation\n\n### Via ClawdHub (coming soon)\n```bash\nclawdhub install deep-research-pro\n```\n\n### Manual\n```bash\ncd your-workspace/skills\ngit clone https://github.com/parags/deep-research-pro.git\n```\n\n## Usage\n\n### As an Agent Skill\n\nJust ask your agent to research something:\n```\n\"Research the current state of nuclear fusion energy\"\n\"Deep dive into Rust vs Go for backend services\"\n\"What's happening with the US housing market?\"\n```\n\nThe agent will follow the workflow in `SKILL.md` to produce a comprehensive report.\n\n### CLI Tool\n\nThe `scripts/research` tool can also be used standalone:\n\n```bash\n# Basic multi-query search\n./scripts/research \"query 1\" \"query 2\" \"query 3\"\n\n# Full research mode (web + news + fetch top pages)\n./scripts/research --full \"AI agents 2026\" \"monetizing AI skills\"\n\n# Save to file\n./scripts/research --full \"topic\" --output results.md\n\n# JSON output\n./scripts/research \"topic\" --json\n\n# Fetch specific URLs\n./scripts/research --fetch \"https://example.com/article\"\n```\n\n### Options\n\n| Flag | Description |\n|------|-------------|\n| `--full` | Enable news search + fetch top 3 pages |\n| `--news` | Include news search |\n| `--max N` | Max results per query (default 8) |\n| `--fetch-top N` | Fetch full text of top N results |\n| `--output FILE` | Save results to file |\n| `--json` | Output as JSON |\n\n## How It Works\n\n1. **Plan** — Break topic into 3-5 sub-questions\n2. **Search** — Run multiple queries across web + news\n3. **Deduplicate** — Remove duplicate sources\n4. **Deep Read** — Fetch full content from key sources\n5. **Synthesize** — Write structured report with citations\n\n## Report Structure\n\n```markdown\n# Topic: Deep Research Report\n\n## Executive Summary\n## 1. First Major Theme\n## 2. Second Major Theme\n## Key Takeaways\n## Sources (with links)\n## Methodology\n```\n\n## Requirements\n\n- Python 3.11+\n- [uv](https://github.com/astral-sh/uv) (auto-installs dependencies)\n\nThe script is self-contained — dependencies install automatically on first run.\n\n## License\n\nMIT\n\n## Author\n\nBuilt by [AstralSage](https://moltbook.com/u/AstralSage) 🦞"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7aeqfsshm3b3ywbcttf6749h80e4pp\",\n  \"slug\": \"deep-research-pro\",\n  \"version\": \"1.0.2\",\n  \"publishedAt\": 1770303332827\n}"},{"path":"package.json","content":"{\n  \"name\": \"deep-research-pro\",\n  \"version\": \"1.0.0\",\n  \"description\": \"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.\",\n  \"keywords\": [\"research\", \"search\", \"analysis\", \"citations\", \"reports\", \"duckduckgo\"],\n  \"license\": \"MIT\",\n  \"author\": \"AstralSage\",\n  \"files\": [\"SKILL.md\", \"scripts/research\", \"package.json\"]\n}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Skill: Deep Research Pro Owner: parags Summary: Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Tags: latest:1.0.2 Version history: v1.0.2 | 2026-02-05T14:55:32.827Z | user Re-publish to fix visibility v1.0.1 | 2026-02-05T14:53:40.214Z | user Fix: restored skill files v1.0.0 | 2026-02-05T14:51:40.093Z | user Initial release: Multi-source rese","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":955,"uniquenessScore":53,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-05-11T06:25:50.665Z","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":"2026-05-11T06:25:50.665Z","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":"2026-10-09T19:59:03.562Z","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"}]}}}