Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ketor/cto-fleet --skill team-costgit clone --depth 1 https://github.com/ketor/cto-fleetWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ketor/cto-fleet/team-cost)<a href="https://agentmods.dev/skills/ketor/cto-fleet/team-cost"><img src="https://agentmods.dev/badge/skills/ketor/cto-fleet/team-cost/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ketor/cto-fleet/team-cost"><img src="https://agentmods.dev/badge/skills/ketor/cto-fleet/team-cost.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00110 | $0.08269 |
| Opus 5 | $0.00055 | $0.04134 |
| Sonnet 5 | $0.00022 | $0.01654 |
| Haiku 4.5 | $0.00011 | $0.00827 |
Grade B, and why
team-cost scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- 目录路径：`/tmp/{team-name}/`（team lead 在 TeamCreate 后执行 `mkdir -p /tmp/{team-name} && chmod 700 /tmp/{team-name}`） How it starts
The opening of the file, as written. The whole thing — 604 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
_UPD=$(~/.claude/skills/cto-fleet/bin/cto-fleet-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
If output shows UPGRADE_AVAILABLE <old> <new>: read ~/.claude/skills/cto-fleet/cto-fleet-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If JUST_UPGRADED <from> <to>: tell user "Running cto-fleet v{to} (just updated!)" and continue.
参数解析：从 $ARGUMENTS 中检测以下标志：
--auto：完全自主模式（不询问用户任何问题，全程自动决策）--once：单轮确认模式（将所有需要确认的问题合并为一轮提问，确认后全程自动执行）--scope=infra|code|full：分析范围（默认full）--lang=zh|en：输出语言（默认zh中文）
解析后将标志从成本优化目标或项目路径中移除。
| 模式 | 用户确认范围 | 条件节点处理 |
|---|---|---|
| 标准模式（默认） | 范围确认 + 分歧仲裁 + 最终报告确认 | 正常询问用户 |
单轮确认模式（--once） |
仅最终报告确认 | 自动决策 + 收尾汇总 |
完全自主模式（--auto） |
不询问用户 | 全部自动决策，收尾汇总所有决策 |
单轮确认模式下条件节点自动决策规则：
- 分析范围不确定 → team lead 根据项目配置文件自行判断，在最终报告中说明
- 两位 analyzer 分歧 → analyst 标注分歧，team lead 综合论证后裁决，收尾时汇总
- 分歧超过 50% → 不可跳过，必须暂停问用户（熔断机制，单轮确认模式和完全自主模式均适用）
- 项目过大无法完整分析 → scanner 识别核心资源和高成本模块，analyzer 聚焦高成本区域
--scope参数处理：infra：仅启动 analyzer-1（基础设施分析），跳过 analyzer-2code：仅启动 analyzer-2（代码/应用分析），跳过 analyzer-1full：两路分析均启动
完全自主模式下：所有节点均自动决策，不询问用户。熔断机制仍然生效——触发熔断条件时是唯一会暂停询问用户的情况。
成本优化分类：
| 类别 | 范围 | 示例 |
|---|---|---|
| 计算资源 | infra | GPU/CPU 实例超配、未使用的预留实例、可降级的实例类型 |
| 存储 | infra | 过期数据未清理、存储类型不匹配（SSD vs HDD）、未压缩 |
| 网络 | infra | 跨区域流量、CDN 未启用、API 调用冗余 |
| 数据库 | both | 慢查询、索引缺失、连接池配置、读写分离 |
| 缓存 | code | 缓存命中率低、缓存穿透、无缓存的热点查询 |
| 算法 | code | O(n^2) 可优化为 O(n log n)、重复计算、批处理化 |
| CI/CD | infra | 构建时间过长、测试并行度不足、镜像过大 |
| GPU 利用率 | infra | GPU 空闲率高、batch size 不合理、显存利用不足 |
ROI 评分标准：
| ROI 等级 | 比率 | 优先级 |
|---|---|---|
| 高 ROI | 投入小，节省大 (>5x) | P0 - 立即执行 |
| 中 ROI | 投入与节省相当 (2-5x) | P1 - 计划执行 |
| 低 ROI | 投入较大，节省有限 (1-2x) | P2 - 有余力时 |
| 负 ROI | 投入大于预期节省 (<1x) | 不建议 |
使用 TeamCreate 创建 team（名称格式 team-cost-{YYYYMMDD-HHmmss}，如 team-cost-20260308-143022，避免多次调用冲突），你作为 team lead 按以下流程协调。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 604 lines · 0 tokens per session scan B 0b0e2a93d07e
team-cost is a skill published in the GitHub repository ketor/cto-fleet (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 110 tokens to every session and 8,269 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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