weknora-rag-search
weknora-rag-search is a RAG & retrieval skill for AI agents, published by Tencent in the WeKnora repository on GitHub. Skillspace rates weknora-rag-search C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Use when retrieving from or asking questions against a WeKnora knowledge base via the `weknora` CLI — and especially when unsure whether to use `chat`, `session ask`, or `search chunks` for a given goal.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 18,357
Placed #2 of 6 in the judged category final for RAG & retrieval.
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Using the public weknora CLI for RAG retrieval
Judge review
Placed #2 of 6 in the judged category final for RAG & retrieval.
- Trigger
86 86 - Instructions
88 88 - Specificity
90 90 - Safety
85 85 - Disclosure
85 85 - Maintenance
75 75
Sharp decision table that resolves the real ambiguity between chat, session-ask, and raw chunk retrieval, plus a concrete warning that a stalled stream keeps billing until stopped server-side.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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