rank-llm-eval
rank-llm-eval is an LLM evaluation & observability skill for AI agents, published by castorini in the rank_llm repository on GitHub. Skillspace rates rank-llm-eval B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use when analyzing rank_llm evaluation outputs across runs or models. Covers aggregated trec_eval JSONL files, response-analysis metrics, retrieval-cache handoff files, and side-by-side comparison of stored evaluation artifacts.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 609
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
- 100 / 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
- Scope
- Vendor-specific: built around one product. Analyzing outputs of the public rank_llm evaluation CLI
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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