scanpy-ranked-genes-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited scanpy-ranked-genes-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 differential-expression pass with Scanpy and extract top marker genes per group from a small count matrix.
scanpy.tl.rank_genes_groups.--input: tab-separated count matrix--groups: tab-separated cell/group labels--method: Scanpy ranking method, default t-test--top-n: number of genes per group, default 3--out: optional JSON output pathslurm/envs/scanpy/bin/python skills/transcriptomics/scanpy-ranked-genes-starter/scripts/run_scanpy_ranked_genes.py \
--input skills/transcriptomics/scanpy-ranked-genes-starter/examples/toy_counts.tsv \
--groups skills/transcriptomics/scanpy-ranked-genes-starter/examples/toy_groups.tsv \
--top-n 2 \
--out scratch/scanpy-ranked-genes/summary.jsonpython3 -m unittest discover -s skills/transcriptomics/scanpy-ranked-genes-starter/tests -p 'test_*.py'python3 -m unittest tests.smoke.test_local_skills -v~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.