data-diagnostics
data-diagnostics is a Non-code artifact review skill for AI agents, published by sischei in the Deep_Learning_for_Solving_And_Estimating_Dynamic_Economic_Models repository on GitHub. Skillspace rates data-diagnostics D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Run data quality checks on a CSV file. Reports shape, types, missing values, summary statistics, outlier flags, and duplicates without modifying the source file.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 193
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic CSV data-quality diagnostics on any file
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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