results-analysis
results-analysis is a Scientific data analysis & plotting skill for AI agents, published by Galaxy-Dawn in the claude-scholar repository on GitHub. Skillspace rates results-analysis B (81/100) and it passed the safety scan; a judge model has also reviewed it.
This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 4,638
Placed #1 of 6 in the judged category final for Scientific data analysis & plotting.
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 2 other repositories, in 1 collections
- Scope
- Portable: works in any project. General evidence-based ML experiment analysis method, not repo-specific.
Judge review
Placed #1 of 6 in the judged category final for Scientific data analysis & plotting.
- Trigger
93 93 - Instructions
90 90 - Specificity
90 90 - Safety
90 90 - Disclosure
87 87 - Maintenance
80 80
Quoted trigger phrases, an explicit responsible/not-responsible contract, and a hard 'never fabricate statistics' rule make this the most rigorous candidate, even cut off mid-instruction on report writing.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.