By trailofbits
Humanize AI-generated text to sound naturally human-written by removing patterns like inflated symbolism, promotional language, em dash overuse, and rule-of-three structures per Wikipedia guide. Edit drafts and review content for authentic tone.
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npx claudepluginhub trailofbits/skills-curated --plugin humanizerBuilds 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.
AI-powered writing quality tools - Detect and remove AI writing patterns to make text sound natural and human-written
Audit & rewrite content to remove AI writing patterns ("AI-isms"). Supports detect-only and edit-in-place modes, voice profiles, and iterate-to-convergence.
Strip AI-writing tells from prose — inflated symbolism, em-dash overuse, rule of three, AI vocabulary, passive voice, and negative parallelisms.
Writing quality validation and AI pattern detection. Identify AI-generated patterns, enhance authenticity, and enforce writing standards. Includes writing-validator agent and ai-pattern-detection skill.
Make assistant output sound human. Strip AI-isms (sycophancy, stock vocab, hedging stacks, em-dash pileups), engineer burstiness, restore voice. Preserves code, URLs, and technical accuracy.
Writing skills for removing AI slop and writing in a precise Rossmann-style voice