Indexé dans Registry

code-cleanup-audit

Prix non confirmé★ 249 Stars GitHubRegistre mis à jour · 13 oct. 2026agent-skill

Vue d’ensemble

Audit a repository for architectural decay, AI-generated code smells, stale compatibility paths, dead abstractions, boundary violations, and cleanup candidates without modifying files. Use when the user asks to review code quality, find bad code, inspect AI-generated code, identify refactoring or cleanup opportunities, detect legacy leftovers, or produce a cleanup backlog that requires human confirmation before implementation.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Code Cleanup Audit

Overview

Use this skill to produce an evidence-backed cleanup audit only. The output is a backlog of suspected or confirmed problems for human review, not an implementation plan that silently edits code.

Non-Negotiable Guardrails

Do not modify files.
Do not call apply_patch, formatters with write mode, generators, codemods, install commands, migration commands, or any command whose purpose is to change the workspace.
Do not create branches, commits, pull requests, or issue tickets unless the user explicitly asks after reviewing the audit.
If the user asks for fixes before seeing the audit, first produce findings and ask which items to implement.
If a command unexpectedly changes files, stop, report the changed paths, and ask how to proceed.
Preserve unrelated dirty worktree changes; treat them as user-owned.

Audit Workflow

Establish repository context:
- Read AGENTS.md first.
- Read architecture and convention docs that directly govern the touched codebase, especially dependency boundaries, ADRs, and package conventions.
- Run git status --short and note existing dirty files.
- Inventory apps/packages with read-only commands such as find, rg --files, pnpm -r list --depth -1, and package manifest reads.
Build a map before judging:
- Identify package boundaries, public exports, app entry points, runtime adapters, shared schemas, tests, and docs.
- Trace imports through package names, not only filenames.
- Compare implementation structure against documented allowed dependencies.
- Prefer rg over slower search tools.
Inspect for cleanup categories:
- Architecture violations: forbidden imports, cross-package relative imports, app-layer logic in shared packages, runtime-specific code in core/shared, browser-unsafe code in web/client/shared.
- Stale compatibility: deprecated fields, fallback branches, migration shims, legacy aliases, duplicate old/new APIs, TODOs that preserve obsolete behavior, no-op adapters, unused feature flags.
- AI-generated code smells: over-broad abstractions, fake extensibility, duplicated helpers, inconsistent naming, hand-rolled utilities where a project utility exists, speculative layers, uncalled code, verbose comments explaining obvious code, guessed data shapes.
- Type and schema weakness: any, unsafe casts, unchecked unknown, interfaces where runtime validation is required, schema/type drift, missing boundary parsing.
- Error and runtime behavior smells: swallowed errors, broad catch, impossible states represented as optional fields, missing cancellation/timeout handling, fragile env assumptions.
- Test and validation gaps: core behavior without tests, snapshots masking behavior, tests that only assert mocks, missing negative cases for boundary rules.
- Documentation drift: docs or AGENTS rules contradicted by code, public API exports not reflected in docs, stale startup/quality commands.
Validate suspected issues:
- Read surrounding code and tests before reporting.
- Run read-only validation where useful: pnpm lint, pnpm typecheck, pnpm test, focused Vitest commands, pnpm build only when build behavior is relevant.
- Use existing ESLint boundary rules as evidence when available.
- Distinguish confirmed problems from cleanup candidates that need product or architectural judgment.
Report without fixing:
- Lead with findings ordered by severity.
- Include file path and line or precise code location for each finding.
- State the violated rule or smell, why it matters, evidence, confidence, and suggested cleanup direction.
- Mark every item as one of: confirmed, likely, or needs human decision.
- Include "Do not modify until confirmed" language when handing off.

Severity Standard

Critical: Can break runtime behavior, violate security/privacy boundaries, corrupt data, or cause CI/build failure.
High: Violates documented architecture, creates wrong package dependency direction, or preserves misleading/dead public API that future agents will copy.
Medium: Increases maintenance cost through duplication, stale compatibility, weak validation, or untested shared behavior.
Low: Local readability or consistency issue with limited blast radius.

Do not report pure preference, cosmetic style, or speculative rewrites unless tied to a concrete maintenance, correctness, boundary, or future-agent-copying risk.

Recommended Commands

Use commands like these as applicable. Keep them read-only.

git status --short
find apps packages docs -maxdepth 3 -type f | sort
rg --line-number "TODO|FIXME|deprecated|legacy|compat|shim|fallback|no-op|noop|any\\b|as unknown|as any" apps packages docs
rg --line-number "from ['\"]\\.\\./\\.\\./|from ['\"]\\.\\./\\.\\./\\.\\./|@pragma/(client|server|core|runtime)" apps packages
pnpm -r list --depth -1
pnpm lint
pnpm typecheck
pnpm test

Before running expensive repository-wide commands, prefer focused reads and explain why the command is useful.

Output Format

Return:

Findings
- Severity
- Status: confirmed, likely, or needs human decision
- Location
- Problem
- Evidence
- Cleanup direction, without editing code
Cleanup backlog
- Group related findings into reviewable batches.
- Call out which batches are safe mechanical cleanup versus architecture decisions.
Non-findings and constraints
- Mention important suspected issues that were checked and rejected.
- Mention commands run and commands intentionally skipped.
Human confirmation needed
- List the exact decisions needed before any code changes.

Voir la source ↗

Métadonnées du fichier

name: code-cleanup-audit
description: Audit a repository for architectural decay, AI-generated code smells, stale compatibility paths, dead abstractions, boundary violations, and cleanup candidates without modifying files. Use when the user asks to review code quality, find bad code, inspect AI-generated code, identify refactoring or cleanup opportunities, detect legacy leftovers, or produce a cleanup backlog that requires human confirmation before implementation.

Voir le texte original

---
name: code-cleanup-audit
description: Audit a repository for architectural decay, AI-generated code smells, stale compatibility paths, dead abstractions, boundary violations, and cleanup candidates without modifying files. Use when the user asks to review code quality, find bad code, inspect AI-generated code, identify refactoring or cleanup opportunities, detect legacy leftovers, or produce a cleanup backlog that requires human confirmation before implementation.
---

# Code Cleanup Audit

## Overview

Use this skill to produce an evidence-backed cleanup audit only. The output is a backlog of suspected or confirmed problems for human review, not an implementation plan that silently edits code.

## Non-Negotiable Guardrails

- Do not modify files.
- Do not call `apply_patch`, formatters with write mode, generators, codemods, install commands, migration commands, or any command whose purpose is to change the workspace.
- Do not create branches, commits, pull requests, or issue tickets unless the user explicitly asks after reviewing the audit.
- If the user asks for fixes before seeing the audit, first produce findings and ask which items to implement.
- If a command unexpectedly changes files, stop, report the changed paths, and ask how to proceed.
- Preserve unrelated dirty worktree changes; treat them as user-owned.

## Audit Workflow

1. Establish repository context:
   - Read `AGENTS.md` first.
   - Read architecture and convention docs that directly govern the touched codebase, especially dependency boundaries, ADRs, and package conventions.
   - Run `git status --short` and note existing dirty files.
   - Inventory apps/packages with read-only commands such as `find`, `rg --files`, `pnpm -r list --depth -1`, and package manifest reads.

2. Build a map before judging:
   - Identify package boundaries, public exports, app entry points, runtime adapters, shared schemas, tests, and docs.
   - Trace imports through package names, not only filenames.
   - Compare implementation structure against documented allowed dependencies.
   - Prefer `rg` over slower search tools.

3. Inspect for cleanup categories:
   - Architecture violations: forbidden imports, cross-package relative imports, app-layer logic in shared packages, runtime-specific code in core/shared, browser-unsafe code in web/client/shared.
   - Stale compatibility: deprecated fields, fallback branches, migration shims, legacy aliases, duplicate old/new APIs, TODOs that preserve obsolete behavior, no-op adapters, unused feature flags.
   - AI-generated code smells: over-broad abstractions, fake extensibility, duplicated helpers, inconsistent naming, hand-rolled utilities where a project utility exists, speculative layers, uncalled code, verbose comments explaining obvious code, guessed data shapes.
   - Type and schema weakness: `any`, unsafe casts, unchecked `unknown`, interfaces where runtime validation is required, schema/type drift, missing boundary parsing.
   - Error and runtime behavior smells: swallowed errors, broad `catch`, impossible states represented as optional fields, missing cancellation/timeout handling, fragile env assumptions.
   - Test and validation gaps: core behavior without tests, snapshots masking behavior, tests that only assert mocks, missing negative cases for boundary rules.
   - Documentation drift: docs or AGENTS rules contradicted by code, public API exports not reflected in docs, stale startup/quality commands.

4. Validate suspected issues:
   - Read surrounding code and tests before reporting.
   - Run read-only validation where useful: `pnpm lint`, `pnpm typecheck`, `pnpm test`, focused Vitest commands, `pnpm build` only when build behavior is relevant.
   - Use existing ESLint boundary rules as evidence when available.
   - Distinguish confirmed problems from cleanup candidates that need product or architectural judgment.

5. Report without fixing:
   - Lead with findings ordered by severity.
   - Include file path and line or precise code location for each finding.
   - State the violated rule or smell, why it matters, evidence, confidence, and suggested cleanup direction.
   - Mark every item as one of: `confirmed`, `likely`, or `needs human decision`.
   - Include "Do not modify until confirmed" language when handing off.

## Severity Standard

- `Critical`: Can break runtime behavior, violate security/privacy boundaries, corrupt data, or cause CI/build failure.
- `High`: Violates documented architecture, creates wrong package dependency direction, or preserves misleading/dead public API that future agents will copy.
- `Medium`: Increases maintenance cost through duplication, stale compatibility, weak validation, or untested shared behavior.
- `Low`: Local readability or consistency issue with limited blast radius.

Do not report pure preference, cosmetic style, or speculative rewrites unless tied to a concrete maintenance, correctness, boundary, or future-agent-copying risk.

## Recommended Commands

Use commands like these as applicable. Keep them read-only.

```bash
git status --short
find apps packages docs -maxdepth 3 -type f | sort
rg --line-number "TODO|FIXME|deprecated|legacy|compat|shim|fallback|no-op|noop|any\\b|as unknown|as any" apps packages docs
rg --line-number "from ['\"]\\.\\./\\.\\./|from ['\"]\\.\\./\\.\\./\\.\\./|@pragma/(client|server|core|runtime)" apps packages
pnpm -r list --depth -1
pnpm lint
pnpm typecheck
pnpm test
```

Before running expensive repository-wide commands, prefer focused reads and explain why the command is useful.

## Output Format

Return:

1. Findings
   - Severity
   - Status: `confirmed`, `likely`, or `needs human decision`
   - Location
   - Problem
   - Evidence
   - Cleanup direction, without editing code

2. Cleanup backlog
   - Group related findings into reviewable batches.
   - Call out which batches are safe mechanical cleanup versus architecture decisions.

3. Non-findings and constraints
   - Mention important suspected issues that were checked and rejected.
   - Mention commands run and commands intentionally skipped.

4. Human confirmation needed
   - List the exact decisions needed before any code changes.

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: AGPL-3.0
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: AGPL-3.0

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 249 stars, 15 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: pqpo/pragma
Licence: AGPL-3.0
Version: Unknown
Dernier push GitHub: 13 oct. 2026
Registre mis à jour: 13 oct. 2026
Chemin des instructions: .codex/skills/code-cleanup-audit/SKILL.md @ 7b56750a699e

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

65/100

Prometteur

Confiance

62/100

Sandbox uniquement

Audit

75/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 249 stars, 15 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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    "expected_agent_output": {
      "selected_skill": "pqpo-code-cleanup-audit (code-cleanup-audit)",
      "install_command": "npx skills add pqpo/pragma --skill code-cleanup-audit",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "pqpo-code-cleanup-audit",
      "task": "Use code-cleanup-audit in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/pqpo-code-cleanup-audit",
    "api": "https://www.openagentskill.com/api/agent/skills/pqpo-code-cleanup-audit",
    "audit": "https://www.openagentskill.com/skills/pqpo-code-cleanup-audit/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=pqpo-code-cleanup-audit&task=Use%20code-cleanup-audit%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20code-cleanup-audit%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20code-cleanup-audit%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/pqpo-code-cleanup-audit/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/pqpo-code-cleanup-audit"
  }
}

Pour le créateur

Source de la fiche

Indexé par Registry

Revendiable

Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: pqpo
Source: pqpo/pragma
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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Cette fiche Indexé par Registry est attribuée à pqpo, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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