autopilot-loop — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited autopilot-loop (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.
Run one autopilot iteration using Claude Code's native /loop:
mcp__claude-flow__autopilot_statusmcp__claude-flow__autopilot_disable and stopmcp__claude-flow__autopilot_predict for the optimal next actionmcp__claude-flow__autopilot_logScheduleWakeup({ delaySeconds: 270, reason: "next autopilot iteration" })Always use delay 270s (under 300s cache TTL) to keep the prompt cache warm between iterations.
Autopilot discovers tasks from:
Configure: mcp__claude-flow__autopilot_config({ taskSources: ["team-tasks", "swarm-tasks"] })
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.