Indexado en Registry

code-review

Review code changes for quality, security, and correctness. Use when the user says "review this PR", "review these changes", "check my code", "look at what I changed", or after implementing a feature. Produces a severity-organized report.

Revisar el código fuente Ver en GitHub

Precio sin confirmar★ 23 Estrellas de GitHubRegistro actualizado · 13 sept 2026agent-skill

Resumen

Leer documentación completa

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

Code Review

Produce a severity-organized review report covering security, correctness, and quality for code changes.

Goal

Identify issues in code changes, organized by severity (Critical > Warnings > Suggestions), with specific file:line references and fix suggestions for every finding. Done when the report is presented to the user.

Context

Before reviewing, read CLAUDE.md and any linter/formatter config files (.eslintrc, pyproject.toml, .prettierrc, etc.) to understand project conventions. Do not flag style issues already handled by configured tooling.

Process

Step 1: Identify Changes

If $ARGUMENTS specifies a file, branch, or PR: use that scope
If $ARGUMENTS is empty: run git diff main...HEAD. If that returns nothing, ask: "What should I review — a branch, specific files, or uncommitted changes?"
Identify all modified files and understand the scope

CHECKPOINT: Present the identified files and diff scope. Confirm this is the correct review target before proceeding.

Step 2: Understand Context

Read the modified files fully (not just the diff)
Understand what the code is supposed to do
Check for related test files

Step 3: Review Checklist

Critical (must fix before merge):

Security vulnerabilities (injection, XSS, exposed secrets, missing auth checks)
Data loss risks (destructive operations without confirmation, missing transactions)
Race conditions or concurrency issues
Breaking changes to public APIs without migration path

Warnings (should fix):

Missing error handling for external calls (network, file I/O, DB)
Missing input validation at system boundaries
Duplicated logic that should be shared
Performance issues (N+1 queries, unnecessary allocations in loops)
Missing or inadequate test coverage for new behavior

Suggestions (nice to have):

Naming improvements for clarity
Simplification opportunities
Better patterns available in the framework

Step 4: Report

For each finding:

File and line reference: path/to/file.ts:42
What's wrong: One sentence
Why it matters: Impact if not fixed
How to fix: Specific suggestion with code example

Organize findings by severity: Critical first, then Warnings, then Suggestions.

Output

Report is presented inline in the conversation, organized by severity. Offer to save to .claude/memory/review-YYYY-MM-DD.md if the user wants a record.

What NOT to Flag

Style issues handled by linters/formatters
Opinions about code organization without concrete benefit
"I would have done it differently" without a clear improvement
Missing documentation on self-explanatory code

Ver fuente ↗

Metadatos del archivo

name: code-review
description: Review code changes for quality, security, and correctness. Use when the user says "review this PR", "review these changes", "check my code", "look at what I changed", or after implementing a feature. Produces a severity-organized report.
argument-hint: "[file path, branch, or PR number]"
context: fork
agent: Explore
allowed-tools: Read, Grep, Glob, Bash(git *)

Ver texto original

---
name: code-review
description: Review code changes for quality, security, and correctness. Use when the user says "review this PR", "review these changes", "check my code", "look at what I changed", or after implementing a feature. Produces a severity-organized report.
argument-hint: "[file path, branch, or PR number]"
context: fork
agent: Explore
allowed-tools: Read, Grep, Glob, Bash(git *)
---

# Code Review

Produce a severity-organized review report covering security, correctness, and quality for code changes.

## Goal
Identify issues in code changes, organized by severity (Critical > Warnings > Suggestions), with specific file:line references and fix suggestions for every finding. Done when the report is presented to the user.

## Context
Before reviewing, read CLAUDE.md and any linter/formatter config files (.eslintrc, pyproject.toml, .prettierrc, etc.) to understand project conventions. Do not flag style issues already handled by configured tooling.

## Process

### Step 1: Identify Changes
- If `$ARGUMENTS` specifies a file, branch, or PR: use that scope
- If `$ARGUMENTS` is empty: run `git diff main...HEAD`. If that returns nothing, ask: "What should I review — a branch, specific files, or uncommitted changes?"
- Identify all modified files and understand the scope

**CHECKPOINT:** Present the identified files and diff scope. Confirm this is the correct review target before proceeding.

### Step 2: Understand Context
- Read the modified files fully (not just the diff)
- Understand what the code is supposed to do
- Check for related test files

### Step 3: Review Checklist

**Critical (must fix before merge):**
- Security vulnerabilities (injection, XSS, exposed secrets, missing auth checks)
- Data loss risks (destructive operations without confirmation, missing transactions)
- Race conditions or concurrency issues
- Breaking changes to public APIs without migration path

**Warnings (should fix):**
- Missing error handling for external calls (network, file I/O, DB)
- Missing input validation at system boundaries
- Duplicated logic that should be shared
- Performance issues (N+1 queries, unnecessary allocations in loops)
- Missing or inadequate test coverage for new behavior

**Suggestions (nice to have):**
- Naming improvements for clarity
- Simplification opportunities
- Better patterns available in the framework

### Step 4: Report
For each finding:
1. **File and line reference**: `path/to/file.ts:42`
2. **What's wrong**: One sentence
3. **Why it matters**: Impact if not fixed
4. **How to fix**: Specific suggestion with code example

Organize findings by severity: Critical first, then Warnings, then Suggestions.

## Output
Report is presented inline in the conversation, organized by severity. Offer to save to `.claude/memory/review-YYYY-MM-DD.md` if the user wants a record.

## What NOT to Flag
- Style issues handled by linters/formatters
- Opinions about code organization without concrete benefit
- "I would have done it differently" without a clear improvement
- Missing documentation on self-explanatory code

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: AGPL-3.0
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: AGPL-3.0

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: 23 GitHub stars
Stars/forks activity: 23 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: mfielding92/ClawedBack
Licencia: AGPL-3.0
Versión: Unknown
Último push de GitHub: 14 ago 2026
Registro actualizado: 13 sept 2026
Ruta de instrucciones: .claude/skills/code-review/SKILL.md @ 62fa27c9b4e7

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

Calidad

52/100

Requiere revisión

Confianza

56/100

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: 23 GitHub stars
Stars/forks activity: 23 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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Creador: mfielding92
Fuente: mfielding92/ClawedBack
Indexado por: Índice comunitario de OpenAgentSkill

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