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 countbot-ai/CountBot --skill agent-team-managergit clone --depth 1 https://github.com/countbot-ai/CountBotWrote 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/countbot-ai/countbot/agent-team-manager)<a href="https://agentmods.dev/skills/countbot-ai/countbot/agent-team-manager"><img src="https://agentmods.dev/badge/skills/countbot-ai/countbot/agent-team-manager/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/countbot-ai/countbot/agent-team-manager"><img src="https://agentmods.dev/badge/skills/countbot-ai/countbot/agent-team-manager.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 | $0.00076 | $0.02700 |
| Opus 5.5 | $0.00030 | $0.01080 |
| Sonnet 5.5 | $0.00015 | $0.00540 |
| Haiku 4.5 | $0.00008 | $0.00270 |
Grade A, and why
agent-team-manager 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 1mo 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
多智能体团队管理
通过命令行管理 CountBot 的多智能体团队,覆盖团队 CRUD、成员 CRUD、以及团队级模型配置。
使用场景
- 用户说“帮我新建一个多智能体团队” -> 创建团队
- 用户说“做一个文档深度分析团队” -> 按模板创建团队
- 用户说“把这个团队改成依赖图模式” -> 修改团队
- 用户说“给团队加一个审稿角色” -> 添加成员
- 用户说“把 analyzer 的任务改一下” -> 修改成员
- 用户说“把这个角色的提示词优化一下” -> 先看当前成员配置,再修改
task和/或system_prompt - 用户说“删掉 summarizer 这个角色” -> 删除成员
- 用户说“给这个团队单独配置模型” -> 配置团队自定义模型
- 用户说“看看有哪些团队/成员” -> 列表或详情
调用方式
所有操作通过 exec 工具执行:
python3 skills/agent-team-manager/scripts/agent_team_manager.py <command> [args]
严格语法
- 只有这些一级命令:
list、info、template-list、create、update、delete、member-list、member-add、member-update、member-delete、config、config-set、config-reset info/member-list/update/config-set的团队参数都是位置参数,不支持--teammember-update的成员参数是第二个位置参数member_ref,不支持--id- 开关技能系统要用团队命令
update "团队名" --enable-skills或--disable-skills - 先看
--help,再按帮助里的位置参数顺序执行;不要自行发明子命令或参数名
常用命令
列出团队
python3 skills/agent-team-manager/scripts/agent_team_manager.py list
查看团队详情
team_ref 支持团队名称、完整 ID、ID 前缀。
python3 skills/agent-team-manager/scripts/agent_team_manager.py info "文档深度分析"
创建团队
# 创建空团队,后续再逐个添加成员
python3 skills/agent-team-manager/scripts/agent_team_manager.py create \
--name "文档深度分析" \
--description "理解文档 → 提取要点 → 分析问题 → 生成总结报告" \
--mode pipeline \
--enable-skills
# 直接按内置模板创建
python3 skills/agent-team-manager/scripts/agent_team_manager.py create \
--template document-analysis
修改团队
python3 skills/agent-team-manager/scripts/agent_team_manager.py update "文档深度分析" \
--mode graph \
--description "先并行抽取,再汇总结论" \
--active
python3 skills/agent-team-manager/scripts/agent_team_manager.py update "文档深度分析" \
--disable-skills
删除团队
python3 skills/agent-team-manager/scripts/agent_team_manager.py delete "文档深度分析"
成员管理
列出成员
python3 skills/agent-team-manager/scripts/agent_team_manager.py member-list "文档深度分析"
添加成员
python3 skills/agent-team-manager/scripts/agent_team_manager.py member-add "文档深度分析" \
--id reader \
--role "文档理解专家" \
--task "通读文档,理解整体结构和核心内容" \
--system-prompt "你是文档理解专家,先识别文档结构,再提炼核心主题。"
What ships with it
1 file 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.
- 1mo ago First seen · 264 lines · 76 tokens per session scan A cb3df4595157
agent-team-manager is a skill published in the GitHub repository countbot-ai/CountBot (784 stars, last pushed 10d ago), licensed MIT. It adds 76 tokens to every session and 2,700 once invoked, about $0.0003 per session on Opus 5.5. 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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