trailofbits/skills agent skills

Scans a codebase for vulnerabilities with CodeQL's data flow and taint tracking in run-all or important-only modes, including data extensions for project-specific sources and sinks.

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Generates Mermaid diagrams from Trailmark code graphs, including call graphs, class hierarchies, module dependency maps, complexity heatmaps and attack surface data flows.

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Compares Trailmark code graphs at two snapshots, such as commits, tags or directories, to surface attack paths, blast radius and taint changes that text diffs miss.

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Draws a 12 Houses tarot spread to break ties when a request is vague or casually delegated, then reads the cards to pick the next step.

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Detects languages, proposes rulesets for approval, then runs the approved Semgrep scan across a codebase and merges the output into one SARIF file.

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Searches and extracts data from Burp Suite project files on the command line: regex searches over responses, audit findings, proxy history and site map data.

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Picks a small, graph-based slice of source with Trailmark and hands a focused code task to a smaller or local model without exposing the whole repository.

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Walks a repository through release readiness before it goes public: secrets audit, licensing, documentation, CI and language-specific packaging.

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Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns.

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Creates language variants of existing Semgrep rules. An agent skill from trailofbits/skills.

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Statically audits GitHub Actions workflows that run AI coding agents, tracing attacker-controlled input to agent prompts and flagging unsafe sandbox, trigger and allowlist settings.

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Tests a security patch against the original bug, its variants and normal behavior, with reproducible baseline-versus-patched evidence before you merge or call it fixed.

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Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes.

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Reviews APIs, configuration schemas and library interfaces for footguns, the designs where the easy path leads to insecure use, using a four-phase analysis.

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Finds sensitive data that C, C++ or Rust code never wipes from memory, including wipes the compiler optimizes away, using source, assembly and control-flow analysis.

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Diagnoses why the Claude in Chrome MCP tools report the browser extension as not connected, with macOS-specific checks and a fix for the Claude.app native host conflict.

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Parses and processes SARIF files from static analysis tools like CodeQL, Semgrep, or other scanners.

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Interprets Culture Index surveys and behavioral profiles, from single-person readings to team composition, burnout risk, hiring profiles and interview analysis.

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Systematically verifies suspected security bugs to eliminate false positives, producing a TRUE POSITIVE or FALSE POSITIVE verdict with documented evidence for each.

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Audits a project's dependencies for supply-chain risk: version-matched advisories for direct dependencies and the full lockfile tree, abandoned or archived upstreams, npm publisher concentration…

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Maps the state-changing entry points of a smart contract codebase and sorts them by access level, producing a structured audit report that leaves out read-only functions.

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Guides writing, reviewing and tuning YARA-X malware detection rules, covering string selection, performance, false-positive reduction and migration from legacy YARA.

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Guides writing and improving fuzzing harnesses for C, C++ and Rust so random byte input gets translated into structured, reproducible test cases for the target code.

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Overlays SARIF results, weAudit annotations and binary-analysis exports onto a Trailmark code graph so each finding can be read next to blast radius and taint data.

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Compiles cryptographic code and inspects the assembly or bytecode for variable-time instructions, then triages which flagged operations actually touch secrets.

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Turns a cryptographic protocol's source code, RFC, paper or ProVerif or Tamarin model into a Mermaid sequence diagram annotated with each cryptographic operation.

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Annotates a codebase with unit, dimension and decimal-scaling comments to expose mismatches and formula bugs in DeFi, financial and scientific arithmetic.

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Scans Android APKs for Firebase security misconfigurations such as open databases, storage buckets, weak authentication and exposed cloud functions, for authorized testing only.

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Triages survived mutants and unnecessary test statements using Trailmark call-graph data, sorting them into false positives, missing unit tests and fuzzing targets.

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Drafts a single-line /goal command for Claude Code or Codex goal mode, built around a checkable end state, a stated verification command and a stop condition.

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Converts a Mermaid sequence diagram of a cryptographic protocol into a ProVerif model file ready for checking secrecy, authentication and forward secrecy.

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Sets up Python projects and standalone scripts with uv, ruff, ty, pytest and prek, and helps move existing projects off pip, Poetry, mypy and black.

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Routes mutation testing work with mewt or muton to the right workflow: configuring a campaign, hunting bugs in untested code, or reporting on surviving mutants.

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Runs an independent review of uncommitted changes, a branch diff or one commit through the Codex or Antigravity CLI, or both, and reports their findings.

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Builds a code graph of functions, classes and calls across languages, then queries it for call paths, taint, blast radius, entry points and complexity hotspots.

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Compares before and after Trailmark graphs of a branch, pull request or release diff to flag new entry points, tainted paths, removed validation and other structural security regressions.

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Uses mutation testing on cryptographic implementations to find coverage gaps, then writes new test vectors for the uncovered paths and compares kill rates to show they help.

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Steers C++ code toward C++20, C++23 and C++26 idioms such as smart pointers, concepts, std::expected and std::print, with a security focus.

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Screens vulnerability reports, CVEs and automated findings against seven rules of thumb to accept, dismiss or ask for more information before any deep analysis.

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Structures Lean 4 proofs and library design along Mathlib conventions, from stating theorems to refactoring long tactic proofs and fixing slow or timing-out ones.

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Scans Solana programs for 6 critical vulnerabilities including arbitrary CPI, improper PDA validation, missing signer/ownership checks, and sysvar spoofing.

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Scans Algorand TEAL and PyTeal contracts for 11 known vulnerability patterns, such as unchecked rekeying and fees, and reports each with severity and a fix.

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Gets your own codebase ready for an external security review: sets review goals, runs static analysis, raises test coverage, removes dead code and writes documentation.

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Scans Cairo and StarkNet contracts for 6 vulnerability patterns, including felt252 overflow, L1 to L2 messaging faults, address conversion and signature replay.

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Sets up cargo-fuzz for a Cargo-based Rust project: nightly toolchain, fuzz targets, structured inputs, sanitizers, coverage and reproducing crashes.

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Scores a smart contract or blockchain codebase across 9 maturity categories with evidence, then delivers a scorecard and a priority-ordered improvement roadmap.

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Scans Cosmos SDK modules and CosmWasm contracts for consensus-critical flaws that can halt a chain, lose funds or diverge state, using parallel scanning agents.

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Reviews a pull request, commit or diff for security problems, using git history, caller counts and test coverage, and writes a markdown report.

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