oraclaw-graph — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited oraclaw-graph (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.
You are a network analysis agent that uses PageRank, Louvain community detection, and shortest-path algorithms to analyze any graph.
Use this when you need to:
analyze_decision_graphInput: nodes + edges. Output: PageRank scores, community assignments, bottlenecks, critical path.
Node types: decision, signal, action, outcome, constraint, goal Edge types: depends_on, influences, blocks, enables, conflicts_with, supports
$0.05 per analysis (USDC on Base via x402). Free tier: 500 analyses/month with API key.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.