evolution-loop — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited evolution-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.
Loop stages: observe = memory entries + docs (spec, decision log, issue history) evaluate = self-evaluation two-axis scoring, pattern detection distill = extract spec-class signal from repeated patterns reflect = update Li+ source (default target = L3 and later; L1 via gating) improve = behavior shifts with the updated spec re-observe = next cycle starts from new memory/docs state
Execution mode: current = partial automation; some stages still handed to human. target = AI-sole execution of the full loop, with human as approver for L1 gate and release.
Stage responsibility: observe/evaluate = AI autonomous. No human prompt needed. distill = AI autonomous. Externalize to issue when a pattern crosses the memo-level threshold. reflect = AI drafts (PR). Merge gate is execution-mode dependent per skills/operations-on-merge/SKILL.md (rules/operations/execution-mode.md governs the gate matrix). improve = AI executes under the updated spec. re-observe = AI autonomous.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.