meta-analysis
meta-analysis is a Statistical modelling skill for AI agents, published by beita6969 in the ScienceClaw repository on GitHub. Skillspace rates meta-analysis D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Perform quantitative meta-analysis with effect size calculation, forest plots, funnel plots, and heterogeneity assessment. Use when: user asks to combine results from multiple studies, calculate pooled effect sizes, assess publication bias, or create forest/funnel plots. NOT for: systematic review protocol (use systematic-review) or single-study statistics (use statsmodels-stats).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 866
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Portable: works in any project. Standard statistical meta-analysis method, no repo or product ties
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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