Agent Skills
› H-mmer/pentest-agents
› cost
cost
GitHub用于展示参与项目的成本追踪与投资回报率分析。通过执行脚本获取摘要和ROI数据，按阶段细分支出，识别低效代理，对比预期价值，并推荐具体的预算调整策略以优化资源分配。
Trigger Scenarios
需要评估当前任务的成本效益
审查代理支出的合理性
优化预算分配或调整代理策略
Install
npx skills add H-mmer/pentest-agents --skill cost -g -y
SKILL.md
Frontmatter
{
"name": "cost",
"description": "Show cost tracking and ROI for this engagement."
}
Show engagement cost data.
Run these in sequence:
uv run python3 ../../tools/cost.py summaryuv run python3 ../../tools/cost.py roi- 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.
Version History
- 41d49b6 Current 2026-07-24 12:01
