networkx-graph-construction-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited networkx-graph-construction-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 build a deterministic toy biological interaction graph and summarize basic network properties with NetworkX.
python3 skills/systems-biology/networkx-graph-construction-starter/scripts/run_networkx_graph_construction.py \
--input skills/systems-biology/networkx-graph-construction-starter/examples/toy_pathway_edges.tsv \
--source-node EGFR \
--target-node STAT3 \
--out scratch/networkx/graph_summary.jsonpython3 -m unittest discover -s skills/systems-biology/networkx-graph-construction-starter/tests -p 'test_*.py'python3 -m unittest tests.smoke.test_phase25_agent_clinical_proteomics_graph_skills -v~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.