benchmark-research-skill
benchmark-research-skill is a Literature review & citations skill for AI agents, published by EternalWavee in the benchmark-research-skill repository on GitHub. Skillspace rates benchmark-research-skill B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Claude Code style skill for benchmark research. Use when the user asks to analyze one paper's benchmarks, datasets, metrics, experiment tables/figures, baselines, or related work; or asks to survey a direction and find usable benchmarks for evaluation. Helper scripts fetch paper context/assets and Claude Code performs the semantic extraction.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 35
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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