bayesian-optimizer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited bayesian-optimizer (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.
The Bayesian Optimizer allows agents to efficiently explore a parameter space to maximize a target metric (yield, purity, binding affinity) with minimal experiments. It uses Gaussian Processes to model uncertainty and the Upper Confidence Bound (UCB) acquisition function.
User: "Given these past results, what temperature and pH should I try next?"
Agent Action:
python3 Skills/Mathematics/Probability_Statistics/bayesian_optimization.py \
--history "[[20, 7.0, 0.5], [25, 6.5, 0.6]]" \
--bounds "[[10, 40], [5, 9]]" \
--output next_experiment.json~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.