memory-search
memory-search is a Memory stores & recall skill for AI agents, published by sergi-rz in the claudia-os repository on GitHub. Skillspace rates memory-search C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Busca en las memorias persistentes del usuario usando SQLite FTS5 (o grep como fallback). Usar cuando Claude necesite encontrar una memoria específica que no está cargada en el contexto activo, o cuando el usuario pregunte por algo que podría estar en memoria.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 25
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 86 / 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
- 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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