memory-lint
memory-lint is a Memory stores & recall skill for AI agents, published by bentleypark in the aiwatch repository on GitHub. Skillspace rates memory-lint D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Periodic health check of the file-based LLM Wiki memory (the `~/.claude/.../memory/` bundle) — the "lint" operation of the Karpathy LLM-Wiki pattern. Invoke every week or two, or after a batch of memory-ingest writes, or when the memory "feels stale". Finds contradictions, stale/superseded claims, orphan pages, broken `[[wikilinks]]`, index drift (file↔MEMORY.md mismatch), unquoted-`#` frontmatter truncation, and redundant clusters worth merging — then records findings in log.md. Read-only proposals for anything destructive; the user confirms merges/deletions.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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