chematagent-drug-discovery — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited chematagent-drug-discovery (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.
A two-tiered agent system with access to 137 Python-wrapped chemical tools for drug discovery and materials science.
User: "Design a molecule similar to Aspirin but with higher solubility."
Agent Action:
python -m chematagent.design --scaffold "Aspirin" --objective "maximize solubility"~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.