molfeat
molfeat is a Chemistry & materials skill for AI agents, published by K-Dense-AI in the claude-scientific-skills repository on GitHub. Skillspace rates molfeat C (78/100) and it passed the safety scan; a judge model has also reviewed it.
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #2 of 3 when judged against its near-duplicates in Chemistry & materials.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 3 when judged against its near-duplicates in Chemistry & materials.
- Trigger
88 88 - Instructions
90 90 - Specificity
93 93 - Safety
85 85 - Disclosure
80 80 - Maintenance
90 90
Thorough molfeat guide with an unusually precise installation and compatibility matrix and a useful three-tier API model, mostly kept inline rather than externalized.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Also published in 1 other repo
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