semantic-search
semantic-search is a RAG & retrieval skill for AI agents, published by ZhuBit in the cowork-semantic-search repository on GitHub. Skillspace rates semantic-search D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Search local document folders using natural language. Use when the user asks about content in their files, references documents they've mentioned before, asks "what does the report say about...", "find the document about...", "was ist in dem Dokument uber...", or when they need to locate information across many files. Also use when the user asks to index or search a folder of documents.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 28
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
- 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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