macs3-peak-calling-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited macs3-peak-calling-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 run a deterministic toy peak-calling example with MACS3 callpeak.
macs3 callpeak on a small BED file using --nomodel --extsize 75 so toy data can be verified reliably.narrowPeak, summits.bed, and peaks.xls outputs to a work directory.slurm/envs/genomics/bin/python skills/epigenomics-and-chromatin/macs3-peak-calling-starter/scripts/run_macs3_peak_calling.py \
--treatment skills/epigenomics-and-chromatin/macs3-peak-calling-starter/examples/toy_treatment.bed \
--summary-out scratch/epigenomics/macs3_peak_summary.jsonpython3 -m unittest discover -s skills/epigenomics-and-chromatin/macs3-peak-calling-starter/tests -p 'test_*.py'peak_count == 1 and top_peak["name"] == "toy_peak_1"~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.