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trailofbits/differential-review

Führt eine sicherheitsorientierte differenzielle Überprüfung von Codeänderungen (PRs, Commits, Diffs) durch. Passt die Analysetiefe an die Codebasisgröße an, nutzt die Git-Historie für Kontext, berechnet die Auswirkungsbreite (Blast Radius), prüft die Testabdeckung und erstellt umfassende Markdown-Berichte. Erkennt und verhindert automatisch Sicherheitsregressionen.

Was ist differential-review?

Diese Skill ermöglicht eine automatisierte, sicherheitsfokussierte Code-Review-Differenzanalyse für Änderungen wie Pull Requests, Commits und Diffs. Sie passt die Analysetiefe dynamisch an die Größe der Codebasis an, nutzt die Git-Historie für Kontext, berechnet die potenzielle Auswirkungsbreite (Blast Radius) und bewertet die Testabdeckung. Die Skill generiert detaillierte Markdown-Berichte, die Schwachstellen, Regressionen und fehlende Tests hervorheben. Sie ist besonders nützlich für Entwicklerteams und Sicherheitsingenieure, die CI/CD-Pipelines mit KI-Agenten wie Claude Code, Cursor oder Codex integrieren, um Sicherheitsregressionen automatisch zu erkennen und zu verhindern. Durch die Anpassung an die Größe des Projekts und die Berücksichtigung des Git-Verlaufs bietet sie kontextbezogene, tiefgehende Sicherheitsanalysen ohne manuellen Aufwand.

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

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Dokumentation

Was macht differential-review?

Führt eine sicherheitsorientierte differenzielle Überprüfung von Codeänderungen (PRs, Commits, Diffs) durch. Passt die Analysetiefe an die Codebasisgröße an, nutzt die Git-Historie für Kontext, berechnet die Auswirkungsbreite (Blast Radius), prüft die Testabdeckung und erstellt umfassende Markdown-Berichte. Erkennt und verhindert automatisch Sicherheitsregressionen.

Funktionen

  • Sicherheitsfokussierte Analyse: Identifiziert Sicherheitslücken und Regressionen in Codeänderungen.
  • Dynamische Tiefe: Passt die Analyseintensität basierend auf der Größe des geänderten Codes an.
  • Git-Historie-Kontext: Nutzt Commit-Verläufe, um Muster und frühere Änderungen zu verstehen.
  • Blast-Radius-Berechnung: Schätzt die potenziellen Auswirkungen einer Änderung auf andere Teile der Codebasis.
  • Testabdeckungsprüfung: Bewertet, ob geänderte Bereiche ausreichend getestet sind.
  • Markdown-Berichte: Generiert strukturierte, lesbare Berichte für die Integration in PRs oder Dokumentationen.

Verwendung

  1. Installation: Stell sicher, dass der Skill in deiner KI-Agent-Umgebung verfügbar ist (z. B. Claude Code, Cursor, Codex).
  2. Ausführung: Führe den Skill auf einem Pull Request, Commit oder Diff aus: 
    trailofbits/differential-review <PR-URL> | <commit-hash> | <diff-datei>
  3. Ergebnisse: Lies den generierten Markdown-Bericht, der Sicherheitshinweise, Blast-Radius und Testabdeckung enthält.

Plattformen

  • Claude Code
  • Cursor
  • Codex (und ähnliche KI-Agenten)

Beispiel

# Überprüfung eines Pull Requests
trailofbits/differential-review https://github.com/beispiel/repo/pull/42

# Differenzieller Sicherheitsbericht für PR #42

## Zusammenfassung
- Geänderte Dateien: 5
- Hinzugefügte Zeilen: 120
- Entfernte Zeilen: 30

## Gefundene Sicherheitsprobleme
- **Mittel**: Unzureichende Eingabevalidierung in `src/handler.py` (Zeile 45)
- **Niedrig**: Fehlende Fehlerbehandlung in `src/utils.py` (Zeile 78)

## Blast-Radius
- Betroffene Module: `auth`, `api`
- Potenzielle Auswirkungen: Mittel

## Testabdeckung
- Geänderter Code: 85% abgedeckt
- Fehlende Tests: `src/handler.py` (Zeilen 40-50)

Beitragen

Beiträge sind willkommen! Bitte öffne ein Issue oder einen Pull Request im Repository.

Lizenz

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.

Verwandte Skills

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

community

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

community

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

community

affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

community

forrestchang/andrej-karpathy-skills

Agent skill repository discovered by 10x-chat research.

community

langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

community
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