toolfs-rag
toolfs-rag is a RAG & retrieval skill for AI agents, published by IceWhaleTech in the ToolFS repository on GitHub. Skillspace rates toolfs-rag D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Semantic search over vector databases for document retrieval. Use this skill when the user requests searching documents, finding relevant content, or performing semantic queries such as "Search for information about X", "Find documents related to Y", or "Query the knowledge base".
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 22
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
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
Not checked 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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