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SKILL verified MIT Self-run

Tavily Web

skill-benedictking-benedictking-skills-tavily-web · by BenedictKing

Use this skill when users need current web research, source discovery, URL content extraction, site mapping, crawling, or structured Tavily-powered research.

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Install

$ agentstack add skill-benedictking-benedictking-skills-tavily-web

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Tavily Web Skill

Trigger Conditions & Endpoint Selection

Choose Tavily endpoint based on user intent:

  • search: Need to "search web / latest info / find sources / find links"
  • extract: Given URL(s), need to extract/summarize content
  • crawl: Need to traverse site following instructions and scrape page content
  • map: Need to discover site page list/structure (without full content or metadata only)
  • research: Need structured research output following given output_schema

Recommended Architecture (Main Skill + Sub-skill)

This skill uses a two-phase architecture:

  1. Main skill (current context): Understand user question → Choose endpoint → Assemble JSON payload
  2. Sub-skill (fork context): Only responsible for HTTP call execution, avoiding conversation history token waste

Execution Method

Use Task tool to invoke tavily-fetcher sub-skill, passing command and JSON (stdin):

Task parameters:
- subagent_type: Bash
- description: "Call Tavily API"
- prompt: cat 
  { ...payload... }
  JSON

Payload Examples (Based on Provided curl)

1) Search the web

cat ",
  "chunks_per_source": 3,
  "extract_depth": "basic",
  "include_images": false,
  "include_favicon": false,
  "format": "markdown",
  "timeout": "None",
  "include_usage": false
}
JSON

3) Crawl webpages

cat  `.env`):

1. Environment variable: `TAVILY_API_KEY`
2. `.env` file: Place in `.env`, can copy from `.env.example`

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [BenedictKing](https://github.com/BenedictKing)
- **Source:** [BenedictKing/benedictking-skills](https://github.com/BenedictKing/benedictking-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.