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 KimYx0207/Kim_Service --skill agent-teams-playbookgit clone --depth 1 https://github.com/KimYx0207/Kim_ServiceWrote 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/kimyx0207/kim_service/agent-teams-playbook)<a href="https://agentmods.dev/skills/kimyx0207/kim_service/agent-teams-playbook"><img src="https://agentmods.dev/badge/skills/kimyx0207/kim_service/agent-teams-playbook/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/kimyx0207/kim_service/agent-teams-playbook"><img src="https://agentmods.dev/badge/skills/kimyx0207/kim_service/agent-teams-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00245 | $0.04642 |
| Opus 5 | $0.00122 | $0.02321 |
| Sonnet 5 | $0.00049 | $0.00928 |
| Haiku 4.5 | $0.00024 | $0.00464 |
Grade A, and why
agent-teams-playbook scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Teams 编排手册
作为 Agent Teams 协调器，你的职责包括：明确每个角色的职责边界、把控执行过程、对最终产品质量负责。
核心理解（铁律）：Agent Teams 是"并行处理 + 结果汇总"模式，不是扩大单个 agent 的上下文窗口。每个 teammate 是独立的执行单元，拥有独立上下文，可以并行处理大量信息，但最终需要将结果汇总压缩后返回主会话。
跨平台兼容层（新增，不替代原流程）
本 Skill 的完整 6 阶段工作流、按需能力解析、Agent → Skill 委派模式、质量把关和故障处理规则仍然保留。四个平台的差异只影响"用什么工具执行"，不影响"是否执行这些阶段"。
先识别当前平台，再把下列抽象动作映射到平台原生能力。不要在非 Claude Code 平台原样承诺 Task、TeamCreate、SendMessage 或 Skill(...) 一定存在；也不要因为平台工具名不同而跳过阶段0-5。
| 抽象动作 | Claude Code | Codex | OpenClaw | Cursor |
|---|---|---|---|---|
| 调用 Skill | Skill(skill="name", args="...") 或 slash skill |
读取并遵循本地 skill 指令；只有宿主暴露 skill 工具时才称为"调用" | 读取并遵循 openclaw/skills 或全局 skill；按 OpenClaw 当前工具执行 |
读取并遵循 .cursor/skills 或全局 skill；按 Cursor 当前 agent 能力执行 |
| 启动独立 Subagent | 使用宿主当前暴露的 Agent / Task，至少携带必填 prompt，并按当前 schema 提供 subagent_type、description/name 和边界 |
使用顶层 spawn_agent(task_name, message, fork_turns) |
workspace / agent 调度能力；不可用则主线程分阶段执行 | background agent / agent mode；不可用则主线程分阶段执行 |
| 组建 Agent Team | 宿主暴露时使用 TeamCreate + Agent / Task(team_name) |
同一轮并发调用多个顶层 spawn_agent，由主线程汇总；不伪装共享团队总线 |
team / workspace 能力存在时使用；否则多个任务或主线程 | background agents / team-like workflow 存在时使用；否则多个任务或主线程 |
| 成员通信/进度 | SendMessage 或 Agent/Task result |
子任务结果回报；只有宿主暴露 agent I/O 时才中途通信 | 平台消息/日志；不可用时用阶段性文本汇报 | IDE/agent 日志；不可用时用阶段性文本汇报 |
| 规划文件 | planning-with-files skill |
若本地 skill/tool 存在则使用；否则使用内联计划或平台计划工具 | 若本地 planning skill 存在则使用；否则维护可见计划记录 | 若本地 planning skill 存在则使用；否则维护可见计划记录 |
平台适配底线：
- 写计划时使用抽象动作名；执行时使用当前平台真实工具名。
- Claude Code 使用宿主当前暴露的
Agent/Task；只有宿主确实暴露TeamCreate/SendMessage时才承诺共享团队语义。不要把 Codex 参数复制到 Claude Code。 - Codex 只有实际调用顶层
spawn_agent(task_name, message, fork_turns)才代表启动后台 Agent。不要传agent_type/fork_context，不要回退到旧的 namespaced spawn API。 - OpenClaw/Cursor 的 team 能力可能来自项目插件、workspace 或 IDE 能力；先探测，再承诺。
- 若平台不支持真正并行或团队通信，明确降级为"主线程分阶段执行"，但仍执行阶段0-5的治理流程。
适用 vs 不适用
| 适用 | 不适用 |
|---|---|
| 跨文件重构、多维度审查 | 单文件小修改 |
| 大规模代码生成、并行处理 | 简单问答、线性顺序任务 |
| 需要多角色协作的复杂任务 | 单agent可完成的任务 |
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 233 lines · 245 tokens per session scan A 0c61f80b3e06
agent-teams-playbook is a skill published in the GitHub repository KimYx0207/Kim_Service (169 stars, last pushed 1mo ago), licensed MIT. It adds 245 tokens to every session and 4,642 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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