deep-audit
SolidDeep consistency audit of the entire repository infrastructure. Launches 4 parallel specialist agents to find factual errors, code bugs, count mismatches, and cross-document inconsistencies. Then fixes all issues and loops until clean. Use when: after making broad changes, before releases, or when user says "audit", "find inconsistencies", "check everything".
Install
Quality Score: 83/100
Skill Content
Details
- Author
- alohays
- Repository
- alohays/paper2pr
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
system-audit
Periodic evidence-based self-audit of the whole agent system — the orchestrator, its docs/SSOTs, rules, memory, subagents, tools, infra and the work it claims to have delivered — followed by immediate cheap-safe fixes and a ranked backlog. Use when the user says 'аудит системы', 'проверь себя', 'самопроверка', 'system audit', 'audit yourself', 'health check', 'что у нас накопилось', 'система раздулась', 'проверь что работает а что на бумаге', 'gap-анализ', 'что удалить', or on cadence triggers (every ~10 sessions, before a milestone, after a big refactor, when memory hits its caps, when onboarding this repo to a new agent). Seven lenses: delivery reality · knowledge drift · operational layer · layer telemetry (did it ever fire) · tools & infra · domain gaps · anti-bloat subtraction. Not for reviewing a single diff (use a diff-review pass) and not for probing a running product (use /memory-kit:qa-sweep).
audit
Full project health audit — scans hooks, skills, scripts, rules, CI config, docs, and GitHub workflow for inconsistencies, broken references, and common mistakes. Creates a GitHub issue with findings and optionally starts fixing them.
cleanup-audit
Multi-agent parallel investigation that finds bugs, drift, dead code, redundant docs, and stale references in this repo. Spawns 8 read-only sub-agents on independent axes (stale-refs first, then consistency × 3, redundancy × 2, dead-artifact × 2), deduplicates findings, classifies into 5 tiers, and surfaces user-only decisions. Use after major refactors, before releases, or for periodic repo hygiene checks.