scanpy-dpt-trajectory-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited scanpy-dpt-trajectory-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 compute a deterministic toy diffusion-pseudotime trajectory with Scanpy tl.dpt.
tl.dpt.trajectory inference leaf in transcriptomics.slurm/envs/scanpy/bin/python skills/transcriptomics/scanpy-dpt-trajectory-starter/scripts/run_scanpy_dpt_trajectory.py \
--counts skills/transcriptomics/scanpy-dpt-trajectory-starter/examples/toy_counts.tsv \
--root-cell c0 \
--expected-order skills/transcriptomics/scanpy-dpt-trajectory-starter/examples/expected_order.txt \
--summary-out scratch/scanpy-dpt/summary.jsonpython3 -m unittest discover -s skills/transcriptomics/scanpy-dpt-trajectory-starter/tests -p 'test_*.py'c0..c5 and pseudotime increases monotonically from 0.0 to 1.0~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.