knowject-rag-eval
knowject-rag-eval is an LLM evaluation & observability skill for AI agents, published by lynxlangya in the knowject repository on GitHub. Skillspace rates knowject-rag-eval D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user wants to create or review lightweight RAG, retrieval, and citation-quality evaluation cases from project knowledge artifacts. Triggers on phrases like "/knowject rag eval", "evaluate RAG citations", "生成 RAG 评测用例", "检查引用是否有来源", "把这些知识库文档做成 eval cases", or "评估事实和 roadmap 是否混淆". Day-1 output is file-based only under knowject/evals/: README.md, rag-eval-cases.yaml, and rag-eval-report.md. Every eval case must include source evidence, avoid secrets, and pass a diff-confirm gate before writing.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 69
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 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
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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