full-text-search
full-text-search is a RAG & retrieval skill for AI agents, published by lobehub in the lobehub repository on GitHub. Skillspace rates full-text-search C (70/100) and it passed the safety scan; a judge model has also reviewed it.
Use for product search: FtsSearchRepo, pg_search/Elasticsearch, mapping migrations, projections, Outbox sync, reindexing and performance. Excludes agent web search.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 82,440
Placed #3 of 6 in the judged category final for RAG & retrieval.
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.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for RAG & retrieval.
- Trigger
74 74 - Instructions
82 82 - Specificity
92 92 - Safety
90 90 - Disclosure
78 78 - Maintenance
85 85
Rigorous cross-layer invariants that specifically guard against permission-scope leaks between search providers, though it demands deep familiarity with this one codebase to parse.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.