What is agent-team-manager?

A command-line manager for teams of AI agents, where each agent has a role and the team can use different workflows or models.

Use it to create, inspect, update, or delete agent teams and members, change prompts and tasks, and configure team-specific models.

It provides one place to create teams, change responsibilities and dependencies, and manage team settings.

agent-team-manager — Skill for Claude Code and Codex by countbot-ai: A command-line manager for teams of AI agents, where…

Install

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.

agentmods

npx agentmods add skills/countbot-ai/countbot/agent-team-manager

Any agent

npx skills add countbot-ai/CountBot --skill agent-team-manager

Clone the repo

git clone --depth 1 https://github.com/countbot-ai/CountBot

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/countbot-ai/countbot/agent-team-manager.svg)](https://agentmods.dev/skills/countbot-ai/countbot/agent-team-manager)

Your own site

<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="Measured on agentmods" height="20"></a>

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,700 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00076	$0.02700
Opus 5	$0.00038	$0.01350
Sonnet 5	$0.00015	$0.00540
Haiku 4.5	$0.00008	$0.00270

Measured 5d ago against content hash cb3df4595157, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent_team_manager.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

workspace/skills/agent-team-manager/SKILL.md · 264 lines

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 --team
member-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。"

Read the full file on GitHub · 264 lines

Files

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.

scripts/agent_team_manager.py 30 KB runs code

Changes

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.

5d ago First seen · 264 lines · 76 tokens per session scan A cb3df4595157

Subscribe to this mod's changes

agent-team-manager is a skill published in the GitHub repository countbot-ai/CountBot (774 stars, last pushed 8d ago), licensed MIT. It adds 76 tokens to every session and 2,700 once invoked, about $0.0004 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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