lamprey-database-and-persistence
lamprey-database-and-persistence is a Databases & SQL skill for AI agents, published by USS-Parks in the lamprey repository on GitHub. Skillspace rates lamprey-database-and-persistence D (65/100) and it passed the safety scan; the rating is based on static analysis only.
The Lamprey data layer in depth — lamprey.db schema init and the migration ledger (v1–v18), the safe-migration checklist written in the shadow of the v0.9.2 crash, transactional guarantees, FTS5, the RAG store and sqlite-vec, retention sweeps, backups, and atomic JSON persistence. Load before touching schema-init.ts, db-migrations.ts, conversation-store.ts, rag/store.ts, or when investigating any data corruption/loss.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 60
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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