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KCNyuKCNyu/clawock/skills/tavily-search/SKILL.md

tavily

Skill23 starsChanged 3 months agoMITView on GitHub

AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.

  • Reads credentials

10 other projects use a version of this, 4 of them edited.

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Most recently taken up by

Used with

Projects with it also use deep-research and frontend-design.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • NVIDIASkill

    deep-research

    Queue deep, multi-step research and analysis tasks to the DeepAgents worker. Supports execution depth presets, request-specific rubrics, SubAgent delegation, and RubricMiddleware cross-validation.

    Also in 3 projects that use this

  • BlockSkill

    frontend-design

    Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use --deep for complex research questions

    line 44
  2. Very specific:

    Use --topic news for current events

    line 45

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Tavily Search

AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.

Search

node {baseDir}/scripts/search.mjs "query" --bucket research
node {baseDir}/scripts/search.mjs "query" -n 10 --bucket research
node {baseDir}/scripts/search.mjs "query" --deep --bucket research
node {baseDir}/scripts/search.mjs "query" --topic news --bucket research

Options

  • -n <count>: Number of results (default: 5, max: 20)
  • --deep: Use advanced search for deeper research (slower, more comprehensive)
  • --topic <topic>: Search topic - general (default) or news
  • --days <n>: For news topic, limit to last n days
  • --bucket <name>: Which monthly budget bucket to charge — brief / report / intraday / research / extract / default. Ad-hoc/manual research uses --bucket research. Omitting it charges the small default bucket (60/mo), which is exhausted quickly on purpose.

Budget (免费档 1000 credits/月, 全局共享)

basic 搜索 1 credit，--deep 2，extract 1/5 URL。硬护栏在 lib/ledger.mjs（本地月度账本，reservation 式扣费，超限 exit 0 优雅降级返回 "unavailable" — 别当报错，退回内置搜索）。账本在仓库外 /root/.openclaw/tavily-credit-ledger.json；查真实账单：curl -H "Authorization: Bearer $TAVILY_API_KEY" https://api.tavily.com/usage（注意有延迟，不能当实时闸）。

Extract content from URL

node {baseDir}/scripts/extract.mjs "https://example.com/article" --bucket extract

--bucket works the same as for search (charges that monthly bucket; omit → default). extract costs 1 credit per 5 URLs.

Notes:

  • Needs TAVILY_API_KEY from https://tavily.com
  • Tavily is optimized for AI - returns clean, relevant snippets
  • Use --deep for complex research questions
  • Use --topic news for current events

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