openmm-forcefield-assignment-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited openmm-forcefield-assignment-starter (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 assign a simple water force field to a tiny PDB topology with OpenMM and summarize the resulting system.
tip3p.xml with deterministic createSystem settings.force-field assignment../slurm/envs/chem-tools/bin/python skills/computational-chemistry-and-molecular-simulation/openmm-forcefield-assignment-starter/scripts/run_openmm_forcefield_assignment.py \
--input skills/computational-chemistry-and-molecular-simulation/openmm-forcefield-assignment-starter/examples/two_waters.pdb \
--out scratch/openmm-forcefield/summary.jsonpython3 -m unittest discover -s skills/computational-chemistry-and-molecular-simulation/openmm-forcefield-assignment-starter/tests -p 'test_*.py'make smoke-openmm-forcefield~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.