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https://github.com/trailofbits/skills
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48bd2626a1
* Refresh trailmark skills for public Trailmark 0.2.x Aligns all skills with the now-public trailmark package (pypi.org/project/trailmark, github.com/trailofbits/trailmark): - Replace hardcoded language tables with runtime detection via trailmark.parse.detect_languages() and --language auto, so the skill never goes stale as Trailmark adds languages (21 supported as of 0.2.x: Python, JS/TS, PHP, Ruby, C/C++, C#, Java, Go, Rust, Solidity, Cairo, Circom, Haskell, Erlang, Miden Assembly, Swift, Objective-C, Kotlin, Dart) - Remove phantom --passes CLI flag from trailmark-structural; pre-analysis is a QueryEngine.preanalysis() method, not a flag - Use native trailmark diff --json in graph-evolution alongside the subgraph-diff helper script - Add `finding` and `audit_note` annotation kinds to the documented list (set by augment_sarif / augment_weaudit) - Document trailmark entrypoints and trailmark augment subcommands that exist in the public package - Bump plugin to 0.8.1 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Address Trailmark skill review nits --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Co-authored-by: Dan Guido <dan@trailofbits.com>
trailmark
Source code graph analysis for security auditing. Parses code into queryable graphs of functions, classes, and calls, then uses that structure for diagram generation, mutation testing triage, protocol verification, and differential review.
These skills target Trailmark 0.2.x. Prefer --language auto,
trailmark.parse.detect_languages(), and QueryEngine.preanalysis()
instead of older 0.1.x-era manual language detection workflows.
Prerequisites
Trailmark (source) must be installed:
uv pip install trailmark
Skills
| Skill | Description |
|---|---|
trailmark |
Build and query multi-language code graphs with pre-analysis passes (blast radius, taint, privilege boundaries, entrypoints) |
diagramming-code |
Generate Mermaid diagrams from code graphs (call graphs, class hierarchies, complexity heatmaps, data flow) |
crypto-protocol-diagram |
Extract protocol message flow from source code or specs (RFC, ProVerif, Tamarin) into sequence diagrams |
genotoxic |
Triage mutation testing results using graph analysis — classify survived mutants as false positives, missing tests, or fuzzing targets |
vector-forge |
Mutation-driven test vector generation — find coverage gaps via mutation testing, then generate Wycheproof-style vectors that close them |
graph-evolution |
Compare code graphs at two snapshots to surface security-relevant structural changes text diffs miss |
mermaid-to-proverif |
Convert Mermaid sequence diagrams into ProVerif formal verification models |
audit-augmentation |
Project SARIF and weAudit findings onto code graphs as annotations and subgraphs |
trailmark-summary |
Quick structural overview (auto-detected languages, entry points, dependencies) for vivisect/galvanize |
trailmark-structural |
Full structural analysis with all pre-analysis passes (blast radius, taint, privilege boundaries, complexity) |
Directory Structure
trailmark/
├── .claude-plugin/
│ └── plugin.json
├── README.md
└── skills/
├── trailmark/ # Core graph querying
├── diagramming-code/ # Mermaid diagram generation
│ └── scripts/diagram.py
├── crypto-protocol-diagram/ # Protocol flow extraction
│ └── examples/
├── genotoxic/ # Mutation testing triage
├── vector-forge/ # Mutation-driven test vector generation
│ └── references/
├── graph-evolution/ # Structural diff
│ └── scripts/graph_diff.py
├── mermaid-to-proverif/ # Sequence diagram → ProVerif
│ └── examples/
├── audit-augmentation/ # SARIF/weAudit integration
├── trailmark-summary/ # Quick overview for vivisect/galvanize
└── trailmark-structural/ # Full structural analysis
Related Skills
| Skill | Use For |
|---|---|
mutation-testing |
Guidance for running mutation frameworks (mewt, muton) — use before genotoxic for triage |
differential-review |
Text-level security diff review — complements graph-evolution's structural analysis |
audit-context-building |
Deep architectural context before vulnerability hunting |