caveman-search
caveman-search is a System design & architecture decisions skill for AI agents, published by ragnar-pwninskjold in the tech-snacks repository on GitHub. Skillspace rates caveman-search C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user wants a terse, opinionated, research-backed answer to a "what tech/tools/stack do I need for X" question, or asks how to approach building something. Triggers on "caveman search", "caveman research", "/caveman-search", and on tooling/architecture questions where the user wants the direct answer, not a survey. Runs decomposed research (local repo + live web), verifies, and renders in a compressed caveman voice that leads with the load-bearing truth.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 111
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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