# Cost

> Show cost tracking and ROI for this engagement.

- Skill: `h-mmer/cost` (Agent Skill)
- Install (CLI): `npx skillmds@latest add h-mmer/cost`
- Raw SKILL.md: https://api.skillmd.com/api/skills/h-mmer/cost/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: h-mmer (https://skillmd.com/u/h-mmer)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/h-mmer/cost

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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.