validate-data
validate-data is a Non-code artifact review skill for AI agents, published by XiaomiMiMo in the MiMo-Code repository on GitHub. Skillspace rates validate-data D (64/100) and it passed the safety scan; a judge model has also reviewed it.
Validate whether an analysis is accurate, well-supported, and ready to share or use for a decision. Use when reviewing methodology, calculations, comparisons, visuals, caveats, or conclusions.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 13,097
Placed #4 of 6 in the judged category final for Non-code artifact review.
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
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Non-code artifact review.
- Trigger
78 78 - Instructions
88 88 - Specificity
90 90 - Safety
86 86 - Disclosure
78 78 - Maintenance
70 70
Exhaustive analyst QA checklist covering methodology through visuals, but the single long file crowds out worked examples and cuts off before its confidence-scoring payoff.
What the scanner flagged
- mentions secrets in text
Not checked yet
- 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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