cache-prune

cache-prune is a Memory stores & recall skill for AI agents, published by leopu00 in the job-hunter-team repository on GitHub. Skillspace rates cache-prune C (71/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Reclaim disk on the shared JHT caches (`uv` wheel cache + `codex` SQLite log) every ~24h. Owned by the Dottore — single-instance, runs at the end of a routine round when the team is idle. Never run mid-emergency: the SQLite VACUUM blocks for ~30s on a 200 MB DB and would steal cycles from a Sentinel-driven recovery. Migrated from the Captain so the Captain stays focused on coordination, not housekeeping.

Grade
C
Quality
71 / 100
Safety
Needs review
GitHub stars
37

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 GitHubleopu00/job-hunter-team

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
Medium-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • hidden/zero-width/bidi unicode chars
  • over-broad allowed-tools ('*')

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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

Better-rated skills in Memory stores & recall

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