tavily

tavily is a RAG & retrieval skill for AI agents, published by itechmeat in the llm-code repository on GitHub. Skillspace rates tavily D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Tavily AI search API for LLM applications: web search, content extraction, site crawling, mapping, and research. Use when integrating real-time web search into LLM apps, extracting content from URLs, crawling sites, or building RAG pipelines with web data. Keywords: Tavily, AI search, RAG, web search API, LLM search, extract, crawl, map, research, tavily-python.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
21

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubitechmeat/llm-code

Our review

Architecture
91 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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