matminer-composition-featurization — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited matminer-composition-featurization (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill to compute deterministic stoichiometry-style composition features for a short list of formulas with matminer.
pymatgen.matminer stoichiometry features for each composition.slurm/envs/materials/bin/python skills/materials-science-and-engineering/matminer-composition-featurization/scripts/run_matminer_composition_features.py \
--formula Fe2O3 \
--formula LiFePO4 \
--out scratch/materials/matminer_features.jsonpython3 -m unittest discover -s skills/materials-science-and-engineering/matminer-composition-featurization/tests -p 'test_*.py'python3 -m unittest tests.smoke.test_frontier_domain_skills -v~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.