By trailofbits
Manually extract reusable skills from work sessions for non-obvious problems, patterns, workarounds, or debugging techniques via the /skill-extractor command.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub trailofbits/skills-curated --plugin skill-extractorConfigures 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.
복잡한 작업 후 재사용 가능한 기법을 SKILL.md로 자동 증류하고 기존 스킬을 스스로 개선하는 자기개선 루프 (Nous Research Hermes Agent 방식의 Claude Code 이식)
Agent Skills for improving SKILL.md files: mine repeated workflows from history, personalize and audit existing skills, or generalize personal skills for publication.
Self-Improving Agent: curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills. Provides /si:memory-review, /si:promote, /si:extract, /si:memory-status, and /si:remember slash commands.
Automatically detect workflow patterns, generate skills, and load them dynamically mid-session
Teach the user a new skill or concept, within this workspace.