By trailofbits
Persist complex multi-step tasks across Claude Code sessions using markdown planning files (task_plan.md, findings.md, progress.md) that serve as structured memory for long-running or multi-phase projects.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub trailofbits/skills-curated --plugin planning-with-filesConfigures 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.
Builds 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.
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.
Detects missing or compiler-optimized zeroization of sensitive data with assembly and control-flow analysis
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations (Claude Code Action, Gemini CLI, OpenAI Codex, GitHub AI Inference)
General workflow skills: relentless plan-grilling interviews, conversation handoff documents, multi-session teaching workspaces, and a reference for writing predictable agent skills.
Corca Workflow Framework — consolidated hooks and skill orchestration for structured development sessions
Skills and agents for everyday AI-assisted development: structured git commits, safe repository refresh and branch cleanup, day-grouped changelog maintenance, project-local task and todo tracking as plain-markdown files (a base task skill plus create, check, auto-check, explain, select, implement, audit, finish, and fix siblings with auto_*_task helper agents, including task_auto_check's auto_drift_task intent check and task_fix's auto_shaper_task escalation), repo-root guardrail documents that keep autonomous agents anchored to human intent (a guardrail hub skill with per-type templates and rules for CHARTER, ARCHITECTURE, TESTING, and SECURITY docs), writing and formatting AI instructions (prompts, rules, skill files, agent definitions), harness portability for bundled scripts and plugin wiring, and language style guides for markdown, Python, and Rust.
Grounded AI behavior: named responses and living task documents for seamless context handoff
Hand off context to any AI coding agent. Creates comprehensive handoff documents that capture the current task, progress, modified files, and all relevant context needed to seamlessly continue work in any AI assistant (Claude Code, Cursor, Copilot, Aider, etc.).
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.