system-auditlisted

# System audit — «что работает / что дрейфует / чего нет / что удалить» An agent system accretes. Good patterns and bad ones, dead rules nobody reads, facts restated in five places with three of them stale, tools that only ran once. This skill is the periodic sweep that keeps it **evolving without inflating**: it measures which layers actually fire, deletes what doesn't, and reports findings that carry evidence rather than impressions. **The one thing that makes this audit different from a checklist:** every claim must be backed by something you touched with your own hands — a `file:line`, a command's output, a query result. An unverified observation is labelled `гипотеза` and never counted in the verdict. ## Step 0 — Scope, depth, delta (2 minutes, always) 1. **Depth.** Pick from what the user asked, default `standard`: - `quick` — deterministic collector + lenses 1, 4, 7 inline, no subagents. ~10 min. Use for a routine "как мы", or when the user asks mid-work. - `standard` — collector + all 7 lenses, lenses 2-6 fanned out to parallel `recon` subagents (`model="sonnet"`), synthesis + adjudication inline. The default. - `deep` — standard + an independent architecture critique (`idea-validator`, `model="opus"`) and an external-family second opinion (`/memory-kit:second-opinion`), + a fresh-check of external facts (pricing, model ids, deprecated APIs) via WebSearch. 2. **Scope autodetect.** Run the collector (step 1) — it reports which layers actually exist in t