methods-reviewer
methods-reviewer is a Peer review & grants skill for AI agents, published by SiyaoZheng in the ai4ss-skills repository on GitHub. Skillspace rates methods-reviewer D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Conduct an independent, critical methodological review of quantitative empirical political-science research. Use to evaluate whether a question, theory, measurement, sample, design, code, analysis, tables, figures, and claims form a credible evidence chain; to run targeted diagnostics or reanalyses; and to determine which problems are fatal, repairable, or interpretation-limiting. Triggers include "methods review", "audit this empirical paper", "review the identification", "check the analysis", "方法审查", "计量审查", "识别审查", "结果是否可信".
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 36
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- GPL-3.0
- 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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