trailofbits/differential-review

Realiza una revisión diferencial de cambios de código (PRs, commits, diffs) centrada en seguridad. Adapta la profundidad del análisis al tamaño del código, utiliza el historial de git para contexto, calcula el radio de propagación, verifica la cobertura de pruebas y genera informes completos en markdown. Detecta y previene automáticamente regresiones de seguridad.

¿Qué es differential-review?

Esta habilidad permite a agentes de IA (como Claude Code, Cursor, Codex) realizar una revisión de seguridad diferencial de cambios de código, como Pull Requests, commits y diffs. Es particularmente útil para equipos de desarrollo que buscan prevenir regresiones de seguridad sin ralentizar el flujo de trabajo. La habilidad adapta la profundidad de su análisis según el tamaño del código base: para cambios grandes, puede ofrecer un resumen de alto nivel, mientras que para cambios pequeños, profundiza en cada línea. Utiliza el historial de git para entender el contexto y calcular el 'radio de propagación' (blast radius) de los cambios, identificando posibles impactos en otras partes del sistema. Además, verifica la cobertura de pruebas asociada a los cambios y genera informes completos en formato markdown con recomendaciones accionables. Es compatible con plataformas como GitHub, GitLab y Bitbucket, e integra herramientas como Semgrep para análisis estático de seguridad.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/trailofbits/skills/tree/main/skills/differential-review

Installed? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

Preguntar en tu IA favorita

Abre un nuevo chat con esta habilidad de agente ya precargada.

Documentación

¿Qué hace differential-review?

Realiza una revisión diferencial de cambios de código (PRs, commits, diffs) centrada en seguridad. Adapta la profundidad del análisis al tamaño del código base, utiliza el historial de git para contexto, calcula el radio de propagación, verifica la cobertura de pruebas y genera informes completos en markdown. Detecta y previene automáticamente regresiones de seguridad.

Cómo funciona

  1. Recibe el diff: Acepta un diff de cambios de código (desde un PR, commit o archivo de parche).
  2. Analiza el contexto: Recupera el historial de git relevante para entender el propósito del cambio.
  3. Calcula el radio de propagación: Identifica qué partes del código base podrían verse afectadas.
  4. Revisa la cobertura de pruebas: Verifica si los cambios están cubiertos por pruebas existentes.
  5. Genera informe: Produce un informe detallado en markdown con hallazgos de seguridad, recomendaciones y métricas.

Uso

Desde la línea de comandos

# Revisar un diff desde un archivo
differential-review --diff changes.diff

# Revisar un PR específico (GitHub)
differential-review --pr 42 --repo owner/repo

# Usar un nivel de profundidad específico
differential-review --diff changes.diff --depth deep

Como agente de IA

Puedes invocar la habilidad desde un agente de IA configurando el contexto adecuado:

{
  "skill": "trailofbits/differential-review",
  "params": {
    "diff": "<contenido del diff>",
    "depth": "auto"
  }
}

Plataformas soportadas

  • GitHub: Integración con Pull Requests y Actions.
  • GitLab: Compatible con Merge Requests.
  • Bitbucket: Soporte para Pull Requests.
  • CLI: Funciona de forma independiente con diffs locales.

Variables de entorno

VariableDescripciónRequerida
GITHUB_TOKENToken de acceso para GitHub APINo, pero recomendada
GITLAB_TOKENToken de acceso para GitLab APINo
BITBUCKET_TOKENToken de acceso para Bitbucket APINo
DIFFICULTYNivel de profundidad (auto, shallow, deep)No

Ejemplos

Revisión de seguridad básica

differential-review --diff my-changes.diff

Con cálculo de radio de propagación

differential-review --diff my-changes.diff --blast-radius

Limitaciones

  • No ejecuta código, solo analiza estáticamente.
  • Depende de la calidad del historial de git.
  • El análisis profundo puede ser lento en repositorios muy grandes.

Licencia

Apache 2.0

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

trailofbits/address-sanitizer

AddressSanitizer detects memory errors during fuzzing. Use when fuzzing C/C++ code to find buffer overflows and use-after-free bugs.

trailofbits/aflpp

AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C/C++ projects.

trailofbits/agentic-actions-auditor

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.

trailofbits/algorand-vulnerability-scanner

Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).

trailofbits/ask-questions-if-underspecified

Clarify requirements before implementing. Use when serious doubts arise.

trailofbits/atheris

Atheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.

trailofbits/audit-augmentation

Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, cross-referencing Semgrep or CodeQL findings with call graph data, or visualizing audit findings in the context of code structure.

trailofbits/audit-context-building

Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.

trailofbits/audit-prep-assistant

Prepares codebases for security review using Trail of Bits' checklist. Helps set review goals, runs static analysis tools, increases test coverage, removes dead code, ensures accessibility, and generates documentation (flowcharts, user stories, inline comments).

trailofbits/burpsuite-project-parser

Searches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.

trailofbits/cairo-vulnerability-scanner

Scans Cairo/StarkNet smart contracts for 6 critical vulnerabilities including felt252 arithmetic overflow, L1-L2 messaging issues, address conversion problems, and signature replay. Use when auditing StarkNet projects.

trailofbits/cargo-fuzz

cargo-fuzz is the de facto fuzzing tool for Rust projects using Cargo. Use for fuzzing Rust code with libFuzzer backend.

trailofbits/chrome-mcp-troubleshooting

Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.

trailofbits/claude-in-chrome-troubleshooting

Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.

trailofbits/code-improver

Runs an autonomous review-and-fix improvement loop over any code target — a skill, plugin, module, or directory — using a reviewer the user names: any installed skill or agent. Keeps a cross-round findings ledger, escalates when fixes stop converging, and guards scope mechanically. Use when asked to 'improve this code until review passes', 'run an improvement loop with <reviewer>', or to iterate review-and-fix with a specific reviewer. For skills prefer the skill-improver entry; for a branch prefer pr-improver.

trailofbits/code-maturity-assessor

Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations.

trailofbits/codeql

Scans a codebase for security vulnerabilities using CodeQL's interprocedural data flow and taint tracking analysis. Triggers on "run codeql", "codeql scan", "codeql analysis", "build codeql database", or "find vulnerabilities with codeql". Supports "run all" (security-and-quality + security-experimental suites) and "important only" (high-precision security findings) scan modes. Also handles creating data extension models and processing CodeQL SARIF output.

trailofbits/constant-time-analysis

Detects timing side-channel vulnerabilities in cryptographic code. Use when implementing or reviewing crypto code, encountering division on secrets, secret-dependent branches, or constant-time programming questions in C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, or Ruby.

trailofbits/constant-time-testing

Constant-time testing detects timing side channels in cryptographic code. Use when auditing crypto implementations for timing vulnerabilities.

trailofbits/cosmos-vulnerability-scanner

Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state divergence. 25 core + 16 IBC + 10 EVM + 3 CosmWasm patterns. Use when auditing custom x/ modules, reviewing IBC integrations, or assessing pre-launch chain security. Updated for SDK v0.53.x.

Skills relacionados