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First-party source

Tavily Search

A focused Tavily web-search workflow with domain, date and retrieval-depth controls.

Editorial review checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.

What it does

The source returns ranked links, snippets and optional fuller content through the CLI. It distinguishes broad discovery from reading a known page and encourages primary-source identity checks for easily confused releases or projects. The result format is designed for downstream inspection rather than immediate blind acceptance.

Best for

Finding current sources when the relevant URL is not already known and a short, bounded search can narrow the task.

Tradeoffs and requirements

Relevance scores do not establish truth, publisher authority or completeness. Time filters and generated summaries can mislead. Keyless access has limits, while authenticated use and raw-content retrieval may change costs and response size.

Unknown; inspect source requirements and supporting scripts.

Install from the source

Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.

npx skills add https://github.com/tavily-ai/skills/tree/778122e5f9c680f541eeceda5a5b36405eb7980c/skills/tavily-search --skill tavily-search

Review pinned skill folder ↗ · CLI documentation ↗

After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.

Safety & review signals

Static review only. This is not a security audit or a guarantee of safety.

SKILL.md text only; scripts, dependencies and runtime behavior not audited.

  • Shell Or Package Install — review the source context.

Allowed tools declaration: Bash(tvly *). Runtime permissions and network behavior: Unknown.

AI Craft Pad Skill Score

85/100 · Metadata coverage 100% · Model 1.0

Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.

Documentation
100/100
100
Maintenance
100/100
100
License Clarity
100/100
100
Repository Health
100/100
100
Compatibility Evidence
80/100
80
Popularity
48/100
48
Originality
80/100
80
Static Safety
60/100
60
Read the formula and limits →

Suggested workflow

Write the actual question with useful domain or date constraints. Inspect titles and URLs before requesting more material, and choose the strongest direct source for each consequential fact.

How to judge the result

Verify identity-sensitive claims on the exact official page or repository. Keep discovery snippets separate from fully read evidence, note retrieval failures and missing dates, and avoid treating a ranked result as permission to run code or contact its publisher.

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