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code-review-checklist

Five-axis code review checklist (correctness, security, readability, performance, test coverage) producing actionable comments instead of style nitpicks. Use when the user asks to review code, a diff, or a pull request.

Revisar el código fuente Ver en GitHub

Precio sin confirmar★ 1 Estrellas de GitHubRegistro actualizado · 6 oct 2026agent-skill

Resumen

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Code Review Checklist

One review answers a single question: "Will this code become someone else's problem within three months?" Walk the five axes in order; each axis gets pass / fail / N-A, and every failure must come with a concrete fix.

Workflow

Check the scope first: look at the diff size. Over ~400 changed lines, ask for a split before reviewing — review quality on huge diffs always collapses.
Check axis by axis (order = priority):
- Correctness: edge cases (null, empty, zero, negative, oversized), concurrency/timing assumptions, error handling (are exceptions swallowed?). The only axis that can block a merge.
- Security: is user input concatenated into SQL / shell commands / HTML; are secrets or tokens hard-coded; does logging leak sensitive data.
- Readability: do names say what things are; does each function do one thing; are magic numbers named. Flag only what you can't understand — not "I'd write it differently."
- Performance: repeated queries or recomputation inside loops; N+1 problems; avoidable large-object copies. No data-free performance speculation ("this might get slow" is not a comment).
- Test coverage: does new logic have tests; do edge cases have cases. All-green tests with the critical path uncovered still get sent back.
Write the comments: fixed format — [axis] file:line problem → suggested fix. Only actionable suggestions; "could be optimized" is not one.
Triage: Must fix (correctness / security) vs Should fix (readability / performance / tests). "Should fix" doesn't block the merge, but say so explicitly.

Rules

At most 10 comments per review. More than that means the code is too broken — send it back for a rewrite instead of grading 50 items.
No style policing: indentation, quotes, semicolons — that's the linter's job, not a human's.
Speak with the diff: every comment must cite a concrete line of code. A comment without a code reference is invalid.

Checklist (minimal executable version)

## Code review checklist

- [ ] Correctness: edge cases (null/0/negative/oversized) handled, exceptions not swallowed
- [ ] Correctness: concurrency/timing assumptions hold, no races
- [ ] Security: no SQL/shell/HTML injection points, no hard-coded secrets, no sensitive data in logs
- [ ] Readability: names are descriptive, functions have a single responsibility, no magic numbers
- [ ] Performance: no repeated queries/computation in loops, no N+1, no evidence-free performance worries
- [ ] Tests: new logic is covered, edge cases have cases
- [ ] Scope: diff ≤ ~400 lines, otherwise split first

Example review comments:

[Must fix][Correctness] order.py:87 empty order list triggers IndexError → guard for empty before taking [0]
[Should fix][Readability] order.py:92 magic number 86400 → name it SECONDS_PER_DAY

Anti-patterns

❌ Drive-by LGTM: approving before reading the whole diff — the review is theater.
❌ Style police: 18 of 20 comments about quotes and line breaks while a null-pointer dereference slips through.
❌ Comments without code: "this logic looks off" — which logic? Which line? Unsaid means invalid.
❌ Performance speculation: "this loop might be slow at scale" — a performance comment without data is noise.
❌ Grading 50 items: when there are too many problems to list, the right move is "rewrite and resubmit", not playing teacher.

Ver fuente ↗

Metadatos del archivo

name: code-review-checklist
description: Five-axis code review checklist (correctness, security, readability, performance, test coverage) producing actionable comments instead of style nitpicks. Use when the user asks to review code, a diff, or a pull request.
license: MIT

Ver texto original

---
name: code-review-checklist
description: Five-axis code review checklist (correctness, security, readability, performance, test coverage) producing actionable comments instead of style nitpicks. Use when the user asks to review code, a diff, or a pull request.
license: MIT
---

# Code Review Checklist

One review answers a single question: "Will this code become someone else's problem within three months?" Walk the five axes in order; each axis gets pass / fail / N-A, and every failure must come with a concrete fix.

## Workflow

1. **Check the scope first**: look at the diff size. Over ~400 changed lines, ask for a split before reviewing — review quality on huge diffs always collapses.
2. **Check axis by axis** (order = priority):
   - **Correctness**: edge cases (null, empty, zero, negative, oversized), concurrency/timing assumptions, error handling (are exceptions swallowed?). The only axis that can block a merge.
   - **Security**: is user input concatenated into SQL / shell commands / HTML; are secrets or tokens hard-coded; does logging leak sensitive data.
   - **Readability**: do names say what things are; does each function do one thing; are magic numbers named. Flag only what you can't understand — not "I'd write it differently."
   - **Performance**: repeated queries or recomputation inside loops; N+1 problems; avoidable large-object copies. No data-free performance speculation ("this might get slow" is not a comment).
   - **Test coverage**: does new logic have tests; do edge cases have cases. All-green tests with the critical path uncovered still get sent back.
3. **Write the comments**: fixed format — `[axis] file:line problem → suggested fix`. Only actionable suggestions; "could be optimized" is not one.
4. **Triage**: `Must fix` (correctness / security) vs `Should fix` (readability / performance / tests). "Should fix" doesn't block the merge, but say so explicitly.

## Rules

- At most 10 comments per review. More than that means the code is too broken — send it back for a rewrite instead of grading 50 items.
- No style policing: indentation, quotes, semicolons — that's the linter's job, not a human's.
- Speak with the diff: every comment must cite a concrete line of code. A comment without a code reference is invalid.

## Checklist (minimal executable version)

```markdown
## Code review checklist

- [ ] Correctness: edge cases (null/0/negative/oversized) handled, exceptions not swallowed
- [ ] Correctness: concurrency/timing assumptions hold, no races
- [ ] Security: no SQL/shell/HTML injection points, no hard-coded secrets, no sensitive data in logs
- [ ] Readability: names are descriptive, functions have a single responsibility, no magic numbers
- [ ] Performance: no repeated queries/computation in loops, no N+1, no evidence-free performance worries
- [ ] Tests: new logic is covered, edge cases have cases
- [ ] Scope: diff ≤ ~400 lines, otherwise split first
```

Example review comments:

```text
[Must fix][Correctness] order.py:87 empty order list triggers IndexError → guard for empty before taking [0]
[Should fix][Readability] order.py:92 magic number 86400 → name it SECONDS_PER_DAY
```

## Anti-patterns

- ❌ Drive-by LGTM: approving before reading the whole diff — the review is theater.
- ❌ Style police: 18 of 20 comments about quotes and line breaks while a null-pointer dereference slips through.
- ❌ Comments without code: "this logic looks off" — which logic? Which line? Unsaid means invalid.
- ❌ Performance speculation: "this loop might be slow at scale" — a performance comment without data is noise.
- ❌ Grading 50 items: when there are too many problems to list, the right move is "rewrite and resubmit", not playing teacher.

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill: Precio sin confirmar
Ejecutarlo: Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia: MIT
Precio sin confirmar: No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Falta aprobación de revisión por IA
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 1 GitHub stars
Stars/forks activity: 1 stars, 0 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

Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

IndexadoRevisión estática

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: alapha888/agent-skills-en
Licencia: MIT
Versión: Unknown
Último push de GitHub: 6 oct 2026
Registro actualizado: 6 oct 2026
Ruta de instrucciones: skills/code-review-checklist/SKILL.md @ a57beac200a0

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

43/100

Requiere revisión

Confianza

58/100

Do not auto-install

Auditoría

68/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Falta aprobación de revisión por IA
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 1 GitHub stars
Stars/forks activity: 1 stars, 0 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: —
Resultados: —

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Abrir API de instalación Formato de texto LLM Abrir Manifest Plan de resolución automática

Más detalles

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      "Audit: 68/100 Needs review",
      "Safety: 24/100 Avoid automatic install",
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    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20code-review-checklist%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20code-review-checklist%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/alapha888-agent-skills-en-code-review-checklist/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/alapha888-agent-skills-en-code-review-checklist"
  }
}

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Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.

Creador: alapha888
Fuente: alapha888/agent-skills-en
Indexado por: Índice comunitario de OpenAgentSkill

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Resumen

Code Review Checklist

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Checklist (minimal executable version)

Anti-patterns

Revisar el código fuente

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