By trailofbits
Generate .devcontainer configurations for Python, Node, Rust, and Go projects with integrated Claude Code plugins, language tooling like uv/fnm, and persistent volumes to create isolated, reproducible development environments.
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npx claudepluginhub trailofbits/skills --plugin devcontainer-setupBuilds multi-language source code graphs for security analysis: call graphs, attack surface mapping, blast radius, taint propagation, complexity hotspots, and entry point enumeration. Generates Mermaid diagrams (call graphs, class hierarchies, dependency maps, heatmaps). Compares code graph snapshots for structural diff and evolution analysis. Runs graph-informed mutation testing triage (genotoxic). Generates mutation-driven test vectors (vector-forge). Extracts crypto protocol message flows and converts Mermaid diagrams to ProVerif models. Projects SARIF and weAudit findings onto code graphs. Use when analyzing call paths, mapping attack surface, visualizing code architecture, triaging survived mutants, generating cryptographic test vectors, diagramming crypto protocols, formally verifying protocols, or augmenting audits with static analysis findings.
Configures mewt or muton mutation testing campaigns — scopes targets, tunes timeouts, and optimizes long-running runs. Use when the user mentions mewt, muton, mutation testing, or wants to configure or optimize a mutation testing campaign.
Annotates codebases with dimensional analysis comments documenting units, dimensions, and decimal scaling. Use when someone asks to annotate units in a codebase, perform a dimensional analysis, or find vulnerabilities in a DeFi protocol. Prevents dimensional mismatches and catches formula bugs early.
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations (Claude Code Action, Gemini CLI, OpenAI Codex, GitHub AI Inference)
Automatically reviews and fixes Claude Code skills through iterative refinement until they meet quality standards. Requires plugin-dev plugin.
Modern Python best practices. Use when creating new Python projects, and writing Python scripts, or migrating existing projects from legacy tools.
Security compliance and vulnerability analysis tools for Go projects
Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security
Security testing skills for AI-assisted IDEs and coding agents. 25 vulnerability patterns across code execution, prompt injection, data exfiltration, and trust persistence.
Comprehensive security plugin: OWASP Top 10, authentication patterns, cryptography, API security, secrets management, supply chain security, DevSecOps, container security, zero trust, and threat modeling.
Audit and harden your software supply chain - packages, containers, GitHub Actions, IaC, AI/ML models, and IDE extensions. Action commands fix issues directly; walkthrough commands guide you through advanced setup.