cost
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npx mdskill add H-mmer/pentest-agents/costShow engagement cost data.
SKILL.md
.github/skills/costView on GitHub ↗
--- name: cost description: "Show cost tracking and ROI for this engagement." disable-model-invocation: false --- Show engagement cost data. Run these in sequence: 1. `uv run python3 $CLAUDE_PROJECT_DIR/tools/cost.py summary` 2. `uv run python3 $CLAUDE_PROJECT_DIR/tools/cost.py roi` 3. Provide analysis: which agents consumed the most, whether the spend is justified by findings. ## Top-Tier ROI Review Cost review is a hunting control, not accounting trivia. - Segment spend by phase: recon, ranking, hunting, validation, reporting, rework. - Flag any agent class with high spend and low durable output: no new surface, no killed hypotheses, no confirmed evidence. - Compare spend to expected value: bounty range, report probability, duplicate risk, and remaining proof work. - Recommend one concrete budget move: continue, pivot class, reduce parallelism, raise min-score, skip noisy targets, or run a focused chain pass. - Treat repeated false positives as a training signal. Link the spend spike to `/learn`, `/brain`, or rules updates.
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