find-awesome-tools

find-awesome-tools is a Doc lookup & research skill for AI agents, published by bh-rat in the context-awesome repository on GitHub. Skillspace rates find-awesome-tools D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Discovers curated tools, libraries, frameworks, and resources across thousands of awesome-lists. Use this skill whenever the user is shopping for options in a technology space — "what are good Rust CLI argument parsers", "recommend React state management libraries", "popular Python web frameworks", "tools for building graph databases", "state-of-the-art computer vision projects" — anything phrased as discovery, comparison, or recommendation of options in a domain. Use when the user: - Asks "what are good X for Y" or "recommend X" - Wants a comparison of options in a category - Explores an unfamiliar technology space and needs to see what exists - Mentions "awesome list", "curated list", or a broad category name Do NOT use for: - API syntax or usage questions for a specific known library (use a docs skill) - Debugging or configuration questions for one library - Installing or configuring a tool the user already picked

Grade
D
Quality
55 / 100
Safety
Passed
GitHub stars
57

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

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

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.