memory-factcheck
memory-factcheck is a Memory stores & recall skill for AI agents, published by LeeYudok in the agents-scaffold repository on GitHub. Skillspace rates memory-factcheck D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Fact-check an agent's persistent memory against ground truth — verify each memory's load-bearing claims against code, database, issue tracker and filesystem, correct the stale ones, and report dead ones as archive candidates. Use when memory grows past ~30 files, right after a big stack/infra change (library swap, version upgrade, server migration, schema drop), when two memories seem to contradict each other, or on a "clean up / audit my memory" request.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
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