{"id":"d15c668b-4183-4896-aada-d405fa0487f8","entityType":"agent","slug":"clawhub-matthew77-liang-tavily-search-y-search-2","name":"Tavily Search","canonicalUrl":"https://www.xpersona.co/agent/clawhub-matthew77-liang-tavily-search-y-search-2","canonicalPath":"/agent/clawhub-matthew77-liang-tavily-search-y-search-2","generatedAt":"2026-11-13T06:00:37.572Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-11-11T17:15:01.059Z","emptyReason":null},"description":"Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. Skill: Tavily Search Owner: matthew77 Summary: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. 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Returns relevant results with content snippets, scores, and metadata.\n\nTags: latest:1.0.1\n\nVersion history:\n\nv1.0.1 | 2026-03-02T02:35:20.934Z | auto\n\n- Initial release of Tavily Search skill.\n- Enables web search through Tavily’s API, optimized for LLMs.\n- Supports result snippets, scores, metadata, and domain/topic filtering.\n- Provides flexible search depth options and time range filtering.\n- Authentication via environment variable or config file.\n- Includes command-line usage examples and documentation.\n\nArchive index:\n\nArchive v1.0.1: 4 files, 4330 bytes\n\nFiles: scripts/search.mjs (3992b), skill-card.md (1896b), SKILL.md (2718b), _meta.json (138b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: tavily-search\ndescription: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.\nhomepage: https://tavily.com\nmetadata: {\"openclaw\":{\"emoji\":\"🔍\",\"requires\":{\"bins\":[\"node\"],\"env\":[\"TAVILY_API_KEY\"]},\"primaryEnv\":\"TAVILY_API_KEY\"}}\n---\n\n# Tavily Search\n\nSearch the web and get relevant results optimized for LLM consumption.\n\n## Authentication\n\nGet your API key at https://tavily.com and add to your OpenClaw config:\n\n```json\n{\n  \"skills\": {\n    \"entries\": {\n      \"tavily-search\": {\n        \"enabled\": true,\n        \"apiKey\": \"tvly-YOUR_API_KEY_HERE\"\n      }\n    }\n  }\n}\n```\n\nOr set the environment variable:\n```bash\nexport TAVILY_API_KEY=\"tvly-YOUR_API_KEY_HERE\"\n```\n\n## Quick Start\n\n### Using the Script\n\n```bash\nnode {baseDir}/scripts/search.mjs \"query\"\nnode {baseDir}/scripts/search.mjs \"query\" -n 10\nnode {baseDir}/scripts/search.mjs \"query\" --deep\nnode {baseDir}/scripts/search.mjs \"query\" --topic news\n```\n\n### Examples\n\n```bash\n# Basic search\nnode {baseDir}/scripts/search.mjs \"python async patterns\"\n\n# With more results\nnode {baseDir}/scripts/search.mjs \"React hooks tutorial\" -n 10\n\n# Advanced search\nnode {baseDir}/scripts/search.mjs \"machine learning\" --deep\n\n# News search\nnode {baseDir}/scripts/search.mjs \"AI news\" --topic news\n\n# Domain-filtered search\nnode {baseDir}/scripts/search.mjs \"Python docs\" --include-domains docs.python.org\n```\n\n## Options\n\n| Option | Description | Default |\n|--------|-------------|---------|\n| `-n <count>` | Number of results (1-20) | 10 |\n| `--depth <mode>` | Search depth: `ultra-fast`, `fast`, `basic`, `advanced` | `basic` |\n| `--topic <topic>` | Topic: `general` or `news` | `general` |\n| `--time-range <range>` | Time range: `day`, `week`, `month`, `year` | - |\n| `--include-domains <domains>` | Comma-separated domains to include | - |\n| `--exclude-domains <domains>` | Comma-separated domains to exclude | - |\n| `--raw-content` | Include full page content | false |\n| `--json` | Output raw JSON | false |\n\n## Search Depth\n\n| Depth | Latency | Relevance | Use Case |\n|-------|---------|-----------|----------|\n| `ultra-fast` | Lowest | Lower | Real-time chat, autocomplete |\n| `fast` | Low | Good | Need chunks but latency matters |\n| `basic` | Medium | High | General-purpose, balanced |\n| `advanced` | Higher | Highest | Precision matters, research |\n\n## Tips\n\n- **Keep queries under 400 characters** - Think search query, not prompt\n- **Break complex queries into sub-queries** - Better results than one massive query\n- **Use `--include-domains`** to focus on trusted sources\n- **Use `--time-range`** for recent information\n- **Filter by `score`** (0-1) to get highest relevance results\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn724ben7jjrcy3pebw2jbak3s8201cp\",\n  \"slug\": \"liang-tavily-search\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1772418920934\n}\n\nFile v1.0.1:skill-card.md\n\n## Description:\n\nWeb search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[matthew77](https://clawhub.ai/user/matthew77)\n\n### License/Terms of Use:\n\n\n## Use Case:\n\nDevelopers and agents use this skill to run web searches through Tavily and retrieve LLM-oriented snippets, relevance scores, metadata, optional raw content, and filtered result sets.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Search terms and selected search options are sent to Tavily.\n\nMitigation: Avoid confidential prompts, secrets, personal data, and proprietary internal identifiers unless Tavily's data handling terms satisfy the deployment requirements.\n\nRisk: The skill requires a Tavily API key in configuration or the TAVILY_API_KEY environment variable.\n\nMitigation: Store the API key in the agent's approved secret management path and avoid printing or committing it.\n\n## Reference(s):\n\n- [Tavily](https://tavily.com)\n- [Tavily Search API endpoint](https://api.tavily.com/search)\n- [ClawHub skill page](https://clawhub.ai/matthew77/skills/liang-tavily-search)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, shell commands]\n\n**Output Format:** [Markdown search results with titles, URLs, snippets, relevance scores, optional answer text, and optional raw JSON.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires Node.js and TAVILY_API_KEY; result count is clamped to 1-20.]\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.","readmeExcerpt":"Skill: Tavily Search Owner: matthew77 Summary: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-03-02T02:35:20.934Z | auto - Initial release of Tavily Search skill. - Enables web search through Tavily’s API, optimized for LLMs. - Supports result snippets, scores, metadata, and domain/topic filtering. - ","codeSnippets":[],"executableExamples":[{"language":"json","snippet":"{\n  \"skills\": {\n    \"entries\": {\n      \"tavily-search\": {\n        \"enabled\": true,\n        \"apiKey\": \"tvly-YOUR_API_KEY_HERE\"\n      }\n    }\n  }\n}"},{"language":"bash","snippet":"export TAVILY_API_KEY=\"tvly-YOUR_API_KEY_HERE\""},{"language":"bash","snippet":"node {baseDir}/scripts/search.mjs \"query\"\nnode {baseDir}/scripts/search.mjs \"query\" -n 10\nnode {baseDir}/scripts/search.mjs \"query\" --deep\nnode {baseDir}/scripts/search.mjs \"query\" --topic news"},{"language":"bash","snippet":"# Basic search\nnode {baseDir}/scripts/search.mjs \"python async patterns\"\n\n# With more results\nnode {baseDir}/scripts/search.mjs \"React hooks tutorial\" -n 10\n\n# Advanced search\nnode {baseDir}/scripts/search.mjs \"machine learning\" --deep\n\n# News search\nnode {baseDir}/scripts/search.mjs \"AI news\" --topic news\n\n# Domain-filtered search\nnode {baseDir}/scripts/search.mjs \"Python docs\" --include-domains docs.python.org"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: tavily-search\ndescription: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.\nhomepage: https://tavily.com\nmetadata: {\"openclaw\":{\"emoji\":\"🔍\",\"requires\":{\"bins\":[\"node\"],\"env\":[\"TAVILY_API_KEY\"]},\"primaryEnv\":\"TAVILY_API_KEY\"}}\n---\n\n# Tavily Search\n\nSearch the web and get relevant results optimized for LLM consumption.\n\n## Authentication\n\nGet your API key at https://tavily.com and add to your OpenClaw config:\n\n```json\n{\n  \"skills\": {\n    \"entries\": {\n      \"tavily-search\": {\n        \"enabled\": true,\n        \"apiKey\": \"tvly-YOUR_API_KEY_HERE\"\n      }\n    }\n  }\n}\n```\n\nOr set the environment variable:\n```bash\nexport TAVILY_API_KEY=\"tvly-YOUR_API_KEY_HERE\"\n```\n\n## Quick Start\n\n### Using the Script\n\n```bash\nnode {baseDir}/scripts/search.mjs \"query\"\nnode {baseDir}/scripts/search.mjs \"query\" -n 10\nnode {baseDir}/scripts/search.mjs \"query\" --deep\nnode {baseDir}/scripts/search.mjs \"query\" --topic news\n```\n\n### Examples\n\n```bash\n# Basic search\nnode {baseDir}/scripts/search.mjs \"python async patterns\"\n\n# With more results\nnode {baseDir}/scripts/search.mjs \"React hooks tutorial\" -n 10\n\n# Advanced search\nnode {baseDir}/scripts/search.mjs \"machine learning\" --deep\n\n# News search\nnode {baseDir}/scripts/search.mjs \"AI news\" --topic news\n\n# Domain-filtered search\nnode {baseDir}/scripts/search.mjs \"Python docs\" --include-domains docs.python.org\n```\n\n## Options\n\n| Option | Description | Default |\n|--------|-------------|---------|\n| `-n <count>` | Number of results (1-20) | 10 |\n| `--depth <mode>` | Search depth: `ultra-fast`, `fast`, `basic`, `advanced` | `basic` |\n| `--topic <topic>` | Topic: `general` or `news` | `general` |\n| `--time-range <range>` | Time range: `day`, `week`, `month`, `year` | - |\n| `--include-domains <domains>` | Comma-separated domains to include | - |\n| `--exclude-domains <domains>` | Comma-separated domains to exclude | - |\n| `--raw-content` | Include full page content | false |\n| `--json` | Output raw JSON | false |\n\n## Search Depth\n\n| Depth | Latency | Relevance | Use Case |\n|-------|---------|-----------|----------|\n| `ultra-fast` | Lowest | Lower | Real-time chat, autocomplete |\n| `fast` | Low | Good | Need chunks but latency matters |\n| `basic` | Medium | High | General-purpose, balanced |\n| `advanced` | Higher | Highest | Precision matters, research |\n\n## Tips\n\n- **Keep queries under 400 characters** - Think search query, not prompt\n- **Break complex queries into sub-queries** - Better results than one massive query\n- **Use `--include-domains`** to focus on trusted sources\n- **Use `--time-range`** for recent information\n- **Filter by `score`** (0-1) to get highest relevance results"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn724ben7jjrcy3pebw2jbak3s8201cp\",\n  \"slug\": \"liang-tavily-search\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1772418920934\n}"},{"path":"skill-card.md","content":"## Description:\n\nWeb search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[matthew77](https://clawhub.ai/user/matthew77)\n\n### License/Terms of Use:\n\n\n## Use Case:\n\nDevelopers and agents use this skill to run web searches through Tavily and retrieve LLM-oriented snippets, relevance scores, metadata, optional raw content, and filtered result sets.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Search terms and selected search options are sent to Tavily.\n\nMitigation: Avoid confidential prompts, secrets, personal data, and proprietary internal identifiers unless Tavily's data handling terms satisfy the deployment requirements.\n\nRisk: The skill requires a Tavily API key in configuration or the TAVILY_API_KEY environment variable.\n\nMitigation: Store the API key in the agent's approved secret management path and avoid printing or committing it.\n\n## Reference(s):\n\n- [Tavily](https://tavily.com)\n- [Tavily Search API endpoint](https://api.tavily.com/search)\n- [ClawHub skill page](https://clawhub.ai/matthew77/skills/liang-tavily-search)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, shell commands]\n\n**Output Format:** [Markdown search results with titles, URLs, snippets, relevance scores, optional answer text, and optional raw JSON.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires Node.js and TAVILY_API_KEY; result count is clamped to 1-20.]\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."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. Skill: Tavily Search Owner: matthew77 Summary: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. 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