scanpy-qc-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited scanpy-qc-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.
Provide a reproducible starting point for Scanpy-based QC work with toy matrix inputs, AnnData export, and a small verification report.
.h5ad artifactslurm/envs/scanpyslurm/envs/scanpy/bin/pythonexamples/toy_counts.tsv.python3 skills/transcriptomics/scanpy-qc-starter/scripts/preflight_counts.py --input skills/transcriptomics/scanpy-qc-starter/examples/toy_counts.tsv.slurm/envs/scanpy/bin/python skills/transcriptomics/scanpy-qc-starter/scripts/run_scanpy_qc.py --input skills/transcriptomics/scanpy-qc-starter/examples/toy_counts.tsv --summary-out skills/transcriptomics/scanpy-qc-starter/assets/scanpy_qc_summary.json --h5ad-out scratch/scanpy/toy_counts_qc.h5ad.total_counts, n_genes_by_counts, and pct_counts_mt in the summary output..h5ad file.slurm/envs/scanpy and rerun with that interpreter.python3 .../preflight_counts.py --input skills/transcriptomics/scanpy-qc-starter/examples/toy_counts.tsvslurm/envs/scanpy/bin/python .../run_scanpy_qc.py --input skills/transcriptomics/scanpy-qc-starter/examples/toy_counts.tsv --summary-out scratch/scanpy/summary.json --h5ad-out scratch/scanpy/toy_counts.h5adsnakemake-toy-workflow-starter~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.