{"id":"b647b62c-0477-4e32-8fb7-e58ca21bf8c9","entityType":"agent","slug":"clawhub-nb-clh-agentic-rag-cn","name":"Deep Research","canonicalUrl":"https://www.xpersona.co/agent/clawhub-nb-clh-agentic-rag-cn","canonicalPath":"/agent/clawhub-nb-clh-agentic-rag-cn","generatedAt":"2026-10-11T20:57:48.313Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T18:03:07.729Z","emptyReason":null},"description":"Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when t... Skill: Deep Research Owner: nb-clh Summary: Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when t... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-20T10:43:33.734Z | user Initial release: 11-source deep search (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub) via Agentic RAG","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. 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Use when t...\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-05-20T10:43:33.734Z | user\n\nInitial release: 11-source deep search (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub) via Agentic RAG-CN\n\nArchive index:\n\nArchive v1.0.0: 5 files, 4024 bytes\n\nFiles: references/api.md (783b), scripts/api_call.py (1872b), skill-card.md (1887b), SKILL.md (1897b), _meta.json (133b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: deep-research\ndescription: Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when the user asks for deep research, comprehensive search, multi-source search, or needs results from Chinese platforms (Zhihu, Bilibili, WeChat). Falls back to built-in web_search if the API is unavailable.\n---\n\n# Deep Research\n\nSearch across 11 sources simultaneously via a local Agentic RAG-CN API, then synthesize results with evidence tables and contradiction detection.\n\n## Prerequisites\n\nAgentic RAG-CN must be running locally. Check with:\n\n```bash\ncurl -s http://localhost:18888/health\n```\n\nIf unavailable, fall back to built-in `web_search` tool.\n\n## Usage\n\nCall the API with a POST request:\n\n```bash\ncurl -s -X POST http://localhost:18888/api/analyze \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"question\": \"用户的问题\"}'\n```\n\nParse the JSON response and present results to the user in a readable format.\n\n## Response Format\n\nThe API returns:\n\n- `answer` — Structured answer with evidence tables\n- `sources` — List of sources used (with URLs)\n- `confidence` — Confidence score (0-1)\n- `contradictions` — Any contradictions found across sources\n- `trace` — Pipeline execution trace (16 steps)\n\n## When to Use vs Fallback\n\n| Condition | Action |\n|-----------|--------|\n| API health check succeeds | Use deep-research API |\n| API health check fails | Fall back to `web_search` |\n| User asks about Chinese topics (知乎, B站, 微信) | Prefer deep-research |\n| User asks general English questions | `web_search` is usually sufficient |\n\n## Presenting Results\n\nFormat the response as:\n\n1. **Answer summary** — 2-3 sentences\n2. **Evidence table** — Key findings with sources\n3. **Contradictions** (if any) — Highlight conflicting info\n4. **Sources** — Numbered list of URLs\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn78fndehxd4b6hhzcwyxbfcn18724qb\",\n  \"slug\": \"agentic-rag-cn\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779273813734\n}\n\nFile v1.0.0:references/api.md\n\n# API Reference\n\n## Endpoints\n\n### GET /health\n\nHealth check. Returns `{\"status\": \"ok\"}` if running.\n\n### POST /api/analyze\n\nMain research endpoint.\n\n**Request body:**\n```json\n{\n  \"question\": \"搜索问题\"\n}\n```\n\n**Response:**\n```json\n{\n  \"answer\": \"结构化答案\",\n  \"sources\": [\n    {\"title\": \"...\", \"url\": \"...\", \"source\": \"baidu\"}\n  ],\n  \"confidence\": 0.85,\n  \"contradictions\": [],\n  \"trace\": {\n    \"elapsed_seconds\": 12.5,\n    \"steps\": [\"web_search\", \"vector_search\", \"...\"]\n  }\n}\n```\n\n### POST /search\n\nRaw search without RAG pipeline. Returns unprocessed search results.\n\n**Request body:** Same as `/api/analyze`.\n\n## Error Codes\n\n| Code | Meaning |\n|------|---------|\n| 200 | Success |\n| 422 | Invalid request body |\n| 500 | Internal error |\n| 503 | Service unavailable |\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nDeep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub).\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[nb-clh](https://clawhub.ai/user/nb-clh)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and research-capable agents use this skill to run multi-source deep web research, especially for Chinese platforms, through a local Agentic RAG-CN API and present answers with evidence, sources, confidence, and contradictions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Search questions are sent to a local Agentic RAG-CN service that may store logs or contact external search providers.\n\nMitigation: Avoid sending sensitive prompts unless you understand and accept that local service's logging and provider behavior.\n\nRisk: The skill depends on a trusted local service running on port 18888.\n\nMitigation: Run the health check before use and install only when you intentionally operate or trust that local service.\n\n## Reference(s):\n\n- [API Reference](references/api.md)\n- [ClawHub Skill Page](https://clawhub.ai/nb-clh/skills/agentic-rag-cn)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Shell commands, Guidance]\n\n**Output Format:** [Markdown with answer summaries, evidence tables, contradiction notes, and source lists]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May include confidence scores and source URLs returned by the local API.]\n\n## Skill Version(s):\n\n1.0.0 (source: ClawHub release evidence)\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.","readmeExcerpt":"Skill: Deep Research Owner: nb-clh Summary: Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when t... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-20T10:43:33.734Z | user Initial release: 11-source deep search (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub) via Agentic RAG","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"curl -s http://localhost:18888/health"},{"language":"bash","snippet":"curl -s http://localhost:18888/health"},{"language":"bash","snippet":"curl -s -X POST http://localhost:18888/api/analyze \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"question\": \"用户的问题\"}'"},{"language":"bash","snippet":"curl -s -X POST http://localhost:18888/api/analyze \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"question\": \"用户的问题\"}'"},{"language":"json","snippet":"{\n  \"question\": \"搜索问题\"\n}"},{"language":"json","snippet":"{\n  \"answer\": \"结构化答案\",\n  \"sources\": [\n    {\"title\": \"...\", \"url\": \"...\", \"source\": \"baidu\"}\n  ],\n  \"confidence\": 0.85,\n  \"contradictions\": [],\n  \"trace\": {\n    \"elapsed_seconds\": 12.5,\n    \"steps\": [\"web_search\", \"vector_search\", \"...\"]\n  }\n}"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: deep-research\ndescription: Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when the user asks for deep research, comprehensive search, multi-source search, or needs results from Chinese platforms (Zhihu, Bilibili, WeChat). Falls back to built-in web_search if the API is unavailable.\n---\n\n# Deep Research\n\nSearch across 11 sources simultaneously via a local Agentic RAG-CN API, then synthesize results with evidence tables and contradiction detection.\n\n## Prerequisites\n\nAgentic RAG-CN must be running locally. Check with:\n\n```bash\ncurl -s http://localhost:18888/health\n```\n\nIf unavailable, fall back to built-in `web_search` tool.\n\n## Usage\n\nCall the API with a POST request:\n\n```bash\ncurl -s -X POST http://localhost:18888/api/analyze \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"question\": \"用户的问题\"}'\n```\n\nParse the JSON response and present results to the user in a readable format.\n\n## Response Format\n\nThe API returns:\n\n- `answer` — Structured answer with evidence tables\n- `sources` — List of sources used (with URLs)\n- `confidence` — Confidence score (0-1)\n- `contradictions` — Any contradictions found across sources\n- `trace` — Pipeline execution trace (16 steps)\n\n## When to Use vs Fallback\n\n| Condition | Action |\n|-----------|--------|\n| API health check succeeds | Use deep-research API |\n| API health check fails | Fall back to `web_search` |\n| User asks about Chinese topics (知乎, B站, 微信) | Prefer deep-research |\n| User asks general English questions | `web_search` is usually sufficient |\n\n## Presenting Results\n\nFormat the response as:\n\n1. **Answer summary** — 2-3 sentences\n2. **Evidence table** — Key findings with sources\n3. **Contradictions** (if any) — Highlight conflicting info\n4. **Sources** — Numbered list of URLs"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn78fndehxd4b6hhzcwyxbfcn18724qb\",\n  \"slug\": \"agentic-rag-cn\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779273813734\n}"},{"path":"references/api.md","content":"# API Reference\n\n## Endpoints\n\n### GET /health\n\nHealth check. Returns `{\"status\": \"ok\"}` if running.\n\n### POST /api/analyze\n\nMain research endpoint.\n\n**Request body:**\n```json\n{\n  \"question\": \"搜索问题\"\n}\n```\n\n**Response:**\n```json\n{\n  \"answer\": \"结构化答案\",\n  \"sources\": [\n    {\"title\": \"...\", \"url\": \"...\", \"source\": \"baidu\"}\n  ],\n  \"confidence\": 0.85,\n  \"contradictions\": [],\n  \"trace\": {\n    \"elapsed_seconds\": 12.5,\n    \"steps\": [\"web_search\", \"vector_search\", \"...\"]\n  }\n}\n```\n\n### POST /search\n\nRaw search without RAG pipeline. Returns unprocessed search results.\n\n**Request body:** Same as `/api/analyze`.\n\n## Error Codes\n\n| Code | Meaning |\n|------|---------|\n| 200 | Success |\n| 422 | Invalid request body |\n| 500 | Internal error |\n| 503 | Service unavailable |"},{"path":"skill-card.md","content":"## Description:\n\nDeep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub).\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[nb-clh](https://clawhub.ai/user/nb-clh)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and research-capable agents use this skill to run multi-source deep web research, especially for Chinese platforms, through a local Agentic RAG-CN API and present answers with evidence, sources, confidence, and contradictions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Search questions are sent to a local Agentic RAG-CN service that may store logs or contact external search providers.\n\nMitigation: Avoid sending sensitive prompts unless you understand and accept that local service's logging and provider behavior.\n\nRisk: The skill depends on a trusted local service running on port 18888.\n\nMitigation: Run the health check before use and install only when you intentionally operate or trust that local service.\n\n## Reference(s):\n\n- [API Reference](references/api.md)\n- [ClawHub Skill Page](https://clawhub.ai/nb-clh/skills/agentic-rag-cn)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Shell commands, Guidance]\n\n**Output Format:** [Markdown with answer summaries, evidence tables, contradiction notes, and source lists]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May include confidence scores and source URLs returned by the local API.]\n\n## Skill Version(s):\n\n1.0.0 (source: ClawHub release evidence)\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."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when t... Skill: Deep Research Owner: nb-clh Summary: Deep web research across 11 Chinese and international sources (Baidu, Bing, Sogou, Quark, ChinaSo, WeChat, Yandex, Zhihu, Bilibili, V2EX, GitHub). Use when t... 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