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code-cleanup-audit

Preis unbestätigt★ 245 GitHub-StarsVerzeichnis aktualisiert · 5. Okt. 2026agent-skill

Übersicht

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.

Vollständige Dokumentation lesen

Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.

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.

Quelle ansehen ↗

Dateimetadaten

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.

Originaltext anzeigen

---
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.

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: AGPL-3.0
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: AGPL-3.0

Dependency or permission surface needs review
Permission surface may require sandboxing
KI-Prüffreigabe fehlt
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 245 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

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

ErfasstStatisch geprüft

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: pqpo/pragma
Lizenz: AGPL-3.0
Version: Unknown
Letzter GitHub-Push: 5. Okt. 2026
Verzeichnis aktualisiert: 5. Okt. 2026
Anleitungspfad: .codex/skills/code-cleanup-audit/SKILL.md @ 1d55c32faa06

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

65/100

Vielversprechend

Vertrauen

62/100

Nur Sandbox

Audit

75/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
KI-Prüffreigabe fehlt
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 245 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: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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    "maintenance": "8d since push",
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    "Dependency or permission surface needs review",
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    "AI review approval is missing",
    "Quality score needs review"
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    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 70/100 Manual review",
      "Audit: 75/100 Needs review",
      "Safety: 27/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "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"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: pqpo
Quelle: pqpo/pragma
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

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Dieser Registry-indexiert-Eintrag wird pqpo zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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