scipy-ode-simulation-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited scipy-ode-simulation-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 integrate a deterministic predator-prey ordinary differential equation with scipy.integrate.solve_ivp and return a compact trajectory summary.
ODE / SDE simulation workflows.solve_ivp before building larger simulation workflows.slurm/envs/scientific-python/bin/python skills/scientific-computing-and-numerical-methods/scipy-ode-simulation-starter/scripts/run_scipy_ode_simulation.py \
--out scratch/scipy-ode/lotka_volterra_summary.jsonpython3 -m unittest discover -s skills/scientific-computing-and-numerical-methods/scipy-ode-simulation-starter/tests -p 'test_*.py'python3 -m unittest tests.smoke.test_phase30_empty_domain_seed_skills -v~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.