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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