rag-query
rag-query is a RAG & retrieval skill for AI agents, published by TW-NLP in the DeepAgentForce repository on GitHub. Skillspace rates rag-query D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill to query the internal corporate knowledge base via RAG. Trigger when the user asks about company policies, HR regulations, reimbursement rules, internal project specs, attendance systems, organizational procedures, or any proprietary enterprise knowledge. Do NOT use for general public knowledge or web searches.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 89
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
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 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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