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Export the Code Genome in various formats
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Basierend auf der SOC-Berufsklassifikation
| name | export |
| description | Export the Code Genome in various formats |
| argument-hint | [{"format":"json|dot|mermaid"}] |
| allowed-tools | Bash, Read |
Export the Code Genome graph in the specified format.
cargo run -p scalpel-cli -- export .scalpel/coverage --output genome.${ARGUMENTS:-json}
if command -v dot &>/dev/null; then
dot -Tsvg genome.dot -o genome.svg
echo "SVG rendered to genome.svg"
fi
Call graph soundness framework: 9 pattern families, 10 safety vetoes, soundness-vs-precision tradeoffs. Use before changing merge.rs, analyzer, or prune pipeline.
Assess if a CVE in a dep is reachable from project code using 15-signal union (runtime/static/external). Outputs audit trail. Security-grade, conservative.
Runtime+static consensus: 15-signal weights, modes, saturation curve. Scalpel's novel moat. Use before changing tracer merge, prune decision, or adding signal sources.
Use to validate Scalpel's pruning safety on any Python project. Analyzes a real-world Python project with test suite, identifies dead code, stubs it, then runs the full test suite to prove nothing broke. Invoke with: /prune-safety-test <project-url-or-path>
Use to validate ALL Scalpel capabilities on a real-world Python project — static analysis accuracy, genome building, reachability classification, pruning safety, and context generation. Invoke with: /validate-on-project <project-url-or-path>
Use when working on scalpel-core, scalpel-proto, Code Genome graph structure, hybrid merge logic, reachability algorithms, confidence classification, or edge resolution