القائمة
Export the Code Genome in various formats
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
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
استنادا إلى تصنيف SOC المهني
| 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