chemaudit-dataset-intelligence
chemaudit-dataset-intelligence is a Chemistry & materials skill for AI agents, published by Kohulan in the ChemAudit repository on GitHub. Skillspace rates chemaudit-dataset-intelligence D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Audit dataset health with a Fourches-style 5-component score, detect contradictory bioactivity labels across duplicates, compare two dataset versions (added / removed / modified / unchanged), and generate curation reports. Use when user says "audit this dataset", "dataset health score", "contradictory labels", "duplicate activity conflict", "dataset diff", "compare dataset versions", "curation report", "data quality check", or "clean this dataset for ML". Accepts CSV and SDF with optional activity columns.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 64
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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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