preregistering-analysis
preregistering-analysis is an Experimentation & statistics skill for AI agents, published by K-Dense-AI in the science-superpowers repository on GitHub. Skillspace rates preregistering-analysis C (76/100) and it passed the safety scan; the rating is based on static analysis only.
Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before results are seen
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 260
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
- 91 / 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 1 collections
- Scope
- Portable: works in any project. General pre-registration research method, no product or repo 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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