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Tavily Search
作者
Evan Rimer
· GitHub ↗
· v7.0.0
· MIT-0
652
总下载
1
收藏
6
当前安装
15
版本数
在 OpenClaw 中安装
/install tavily-websearch
功能描述
Search the web using Tavily's Search API. Returns relevant, accurate results with content snippets, scores, and metadata. Use when the user asks to search th...
安全使用建议
This skill appears to do exactly what it says: send your search JSON to Tavily's search API using the TAVILY_API_KEY. Before installing, ensure you trust Tavily as a receiver of your queries (they will see your search text and any included options). Keep the API key secret, rotate/revoke it if exposed, and avoid sending sensitive personal data or credentials in the JSON body (the SKILL.md already warns against that). If you need stricter control, disable autonomous invocation for this skill or audit calls that set include_raw_content (which can return full page content). Finally, verify the official Tavily documentation and your organization’s policies on third-party search services.
功能分析
Type: OpenClaw Skill
Name: tavily-websearch
Version: 7.0.0
The skill is a legitimate wrapper for the Tavily Search API. The bash script (scripts/search.sh) safely handles JSON input and communicates only with the official Tavily endpoint (api.tavily.com). The documentation (SKILL.md) provides clear, helpful instructions for the agent without any signs of prompt injection or malicious directives.
能力评估
Purpose & Capability
Name/description, required binary (curl), required env var (TAVILY_API_KEY), and the provided script all align with a web-search API wrapper that posts JSON to https://api.tavily.com/search.
Instruction Scope
SKILL.md and scripts/search.sh only read the provided JSON argument and the TAVILY_API_KEY environment variable and POST them to Tavily's API. There are no instructions to read unrelated files, scan system state, or transmit data to other endpoints.
Install Mechanism
No install spec is present (instruction-only plus a small script). Nothing is downloaded or written by an installer, minimizing disk-write risk.
Credentials
Only a single API credential (TAVILY_API_KEY) is required and declared as the primary credential. That is proportionate for a service that authenticates with a bearer key.
Persistence & Privilege
always:false (default) and no requests to modify agent or system configs are present. Autonomous invocation is allowed by platform default but is not combined with broad privileges here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tavily-websearch - 安装完成后，直接呼叫该 Skill 的名称或使用
/tavily-websearch触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v7.0.0
- Added a new "Data Handling" section with important guidance not to include secrets, credentials, or sensitive personal data in requests.
- No other changes to API, usage, or examples.
v6.0.1
- Added a new "Data Handling" section to the documentation, explaining not to include secrets, credentials, or sensitive data in API requests.
- Clarified to only pass documented fields in the request body; unknown fields are ignored but still sent over the network.
- No functional or behavioral changes to the skill itself.
v6.0.0
- Added explicit homepage and metadata fields in SKILL.md for better discoverability and integration.
- Internal configuration file agents/openai.yaml removed.
- No changes to usage, API, or command structure for users.
v5.0.2
- Removed jq as a required binary; now only curl is required.
- jq is not by default installed, removing friction
- No other changes detected.
v5.0.1
- Added required environment variable (TAVILY_API_KEY) and required binaries (curl, jq) to metadata.
- No changes to functionality or usage instructions.
- Documentation now explicitly lists setup dependencies for easier onboarding.
v5.0.0
No changes detected in this version.
- No updates were made to the skill files or documentation.
- updated the tags
v4.2.0
- Moved the OpenAI agent configuration file from scripts/agents/openai.yaml to agents/openai.yaml.
- No changes to functionality or documentation.
v4.1.0
- Added scripts/agents/openai.yaml to the repository.
- Removed required_env and required_binaries fields from SKILL.md.
v4.0.3
- Fixed typos in example queries (“Lanscape of electric vehichles 2026” → “Landscape of electric vehicles 2026”).
- Added to the metadata required_env:
- TAVILY_API_KEY
required_binaries:
- curl
- jq
v4.0.1
Initial release of the Tavily Search skill.
- Enables web search via Tavily's Search API, returning relevant results with snippets, scores, and metadata
- Supports flexible queries, max results, time ranges, source scoping, and advanced search depth options
- Command-line usage with a `--json` argument mirroring the Tavily Search API request body
- Requires `TAVILY_API_KEY` environment variable and `curl`, `jq` dependencies
- Detailed documentation on all request fields and tips included
v4.0.0
- Added a homepage link to the skill manifest.
- Updated API documentation links to match Tavily's current documentation URLs.
v2.0.0
- Version bump to 2.0.0 to indicate major change
v1.0.2
- Updated requirements to specify only environment variable setup for `TAVILY_API_KEY`
- Added required environment variable and binaries (`curl`, `jq`) to metadata
- Removed dotenv file setup instructions
- Clarified quick start instructions for simplicity
- No functional changes to code detected
v1.0.1
- Simplified authentication: OAuth flow and API key file config removed; now requires TAVILY_API_KEY via env variable or .env file.
- Script usage streamlined: new `--json` flag passes raw Tavily API request body directly.
- Updated documentation: clearer quick start, focused on direct API mapping and typical usage patterns.
- Search depth options reduced: only `basic` and `advanced` modes now documented.
- Description refined to clarify when to use the skill (web search, source lookup, research).
v1.0.0
Major update: Switched from Node.js scripts to a Bash-based search interface with OAuth and detailed documentation.
- Replaced Node.js scripts with a single Bash script (search.sh) for web searches.
- Removed extraction and Node-based search functionality (extract.mjs, search.mjs).
- Introduced OAuth authentication flow; no manual API key setup required on first run.
- Provided comprehensive documentation for API usage, authentication options, and search parameters.
- Added advanced search options, including domain filtering, time ranges, and search depth settings.
元数据
常见问题
Tavily Search 是什么？
Search the web using Tavily's Search API. Returns relevant, accurate results with content snippets, scores, and metadata. Use when the user asks to search th... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 652 次。
如何安装 Tavily Search？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tavily-websearch」即可一键安装，无需额外配置。
Tavily Search 是免费的吗？
是的，Tavily Search 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tavily Search 支持哪些平台？
Tavily Search 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Tavily Search？
由 Evan Rimer（@evanydl）开发并维护，当前版本 v7.0.0。
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