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agent-teamsAgent Teams 协作

Agent Skill

agent-teams 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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1,320

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-teams(Agent Teams 协作)
来源仓库:https://github.com/devxoul/agent-messenger
仓库路径:skills/agent-teams
安装命令:
npx skills add https://github.com/devxoul/agent-messenger --skill agent-teams
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/devxoul/agent-messenger --skill agent-teams

简介

agent-teams 用于 Microsoft Teams 交互,支持消息发送和频道列表获取。

  • 凭据自动提取自桌面客户端,适用于企业协作环境中的信息同步。
  • 可处理多 team 场景,适合跨部门或跨项目沟通记录管理。
  • 操作前应确认应用注册权限和 OAuth 范围,确保能访问目标团队资源。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Agent Teams

A TypeScript CLI tool that enables AI agents and humans to interact with Microsoft Teams through a simple command interface. Features seamless token extraction from the Teams desktop app (with browser fallback) and multi-team support.

Quick Start

# Get team snapshot (credentials are extracted automatically)
agent-teams snapshot

# Send a message
agent-teams message send <team-id> <channel-id> "Hello from AI agent!"

# List channels
agent-teams channel list <team-id>

Authentication

Credentials are extracted automatically from the Teams desktop app (or Chromium browser as fallback) on first use. No manual setup required — just run any command and authentication happens silently in the background.

Teams tokens expire in 60-90 minutes. The CLI automatically re-extracts a fresh token when the current one expires, so you don't need to manage token lifecycle manually.

IMPORTANT: Always use agent-teams auth extract to obtain tokens. The CLI extracts from the desktop app first, falling back to Chromium browsers if the app isn't installed.

Multi-Team Support

# List all available teams
agent-teams team list

# Switch to a different team
agent-teams team switch <team-id>

# Show current team
agent-teams team current

# Check auth status (includes token expiry info)
agent-teams auth status

Multi-Account Support (Work / Personal)

# Switch between work and personal accounts
agent-teams auth switch-account work
agent-teams auth switch-account personal

# Use a specific account for one command (without switching)
agent-teams snapshot --account work

Memory

The agent maintains a ~/.config/agent-messenger/MEMORY.md file as persistent memory across sessions. This is agent-managed — the CLI does not read or write this file. Use the Read and Write tools to manage your memory file.

Reading Memory

At the start of every task, read ~/.config/agent-messenger/MEMORY.md using the Read tool to load any previously discovered team IDs, channel IDs, user IDs, and preferences.

  • If the file doesn't exist yet, that's fine — proceed without it and create it when you first have useful information to store.
  • If the file can't be read (permissions, missing directory), proceed without memory — don't error out.

Writing Memory

After discovering useful information, update ~/.config/agent-messenger/MEMORY.md using the Write tool. Write triggers include:

  • After discovering team IDs and names (from team list, snapshot, etc.)
  • After discovering useful channel IDs and names (from channel list, snapshot, etc.)
  • After discovering user IDs and names (from user list, user me, etc.)
  • After the user gives you an alias or preference ("call this the standup channel", "my main team is X")
  • After discovering channel structure (standard vs private channels)

When writing, include the complete file content — the Write tool overwrites the entire file.

What to Store

  • Team IDs with names
  • Channel IDs with names and team context
  • User IDs with display names
  • User-given aliases ("standup channel", "main team")
  • Account preferences (work vs personal)
  • Any user preference expressed during interaction

What NOT to Store

Never store tokens, credentials, or any sensitive data. Never store full message content (just IDs and channel context). Never store file upload contents.

Handling Stale Data

If a memorized ID returns an error (channel not found, team not found), remove it from MEMORY.md. Don't blindly trust memorized data — verify when something seems off. Prefer re-listing over using a memorized ID that might be stale.

Format / Example

# Agent Messenger Memory

## Teams

- `team-id-1` — Acme Corp (default, work account)
- `team-id-2` — Side Project (personal account)

## Channels (Acme Corp)

- `channel-id-1` — General
- `channel-id-2` — Engineering
- `channel-id-3` — Standups

## Users (Acme Corp)

- `user-id-1` — Alice (engineering lead)
- `user-id-2` — Bob (backend)

## Aliases

- "standup" → `channel-id-3` (Standups in Acme Corp)
- "main team" → `team-id-1` (Acme Corp)

## Notes

- User prefers work account by default
- Main team is "Acme Corp"
Memory lets you skip repeated channel list and team list calls. When you already know an ID from a previous session, use it directly.

Commands

Auth Commands

# Extract token from Teams desktop app or browser (usually automatic)
agent-teams auth extract
agent-teams auth extract --debug

# Check auth status (includes token expiry info)
agent-teams auth status

# Logout from Microsoft Teams
agent-teams auth logout

# Switch between work and personal accounts
agent-teams auth switch-account <account-type>
agent-teams auth switch-account work
agent-teams auth switch-account personal

Whoami Command

# Show current authenticated user
agent-teams whoami
agent-teams whoami --pretty

Output includes the authenticated user's identity information.

Message Commands

# Send a message
agent-teams message send <team-id> <channel-id> <content>
agent-teams message send <team-id> 19:abc123@thread.tacv2 "Hello world"

# List messages
agent-teams message list <team-id> <channel-id>
agent-teams message list <team-id> 19:abc123@thread.tacv2 --limit 50

# Get a single message by ID
agent-teams message get <team-id> <channel-id> <message-id>

# Delete a message
agent-teams message delete <team-id> <channel-id> <message-id> --force

Channel Commands

# List channels in a team
agent-teams channel list <team-id>

# Get channel info
agent-teams channel info <team-id> <channel-id>
agent-teams channel info <team-id> 19:abc123@thread.tacv2

# Get channel history (alias for message list)
agent-teams channel history <team-id> <channel-id> --limit 100

Team Commands

# List all teams
agent-teams team list

# Get team info
agent-teams team info <team-id>

# Switch active team
agent-teams team switch <team-id>

# Show current team
agent-teams team current

# Remove a team from config
agent-teams team remove <team-id>

User Commands

# List team members
agent-teams user list <team-id>

# Get user info
agent-teams user info <user-id>

# Get current user
agent-teams user me

Reaction Commands

# Add reaction (use emoji name)
agent-teams reaction add <team-id> <channel-id> <message-id> <emoji>
agent-teams reaction add <team-id> 19:abc123@thread.tacv2 1234567890 like

# Remove reaction
agent-teams reaction remove <team-id> <channel-id> <message-id> <emoji>

File Commands

# Upload file
agent-teams file upload <team-id> <channel-id> <path>
agent-teams file upload <team-id> 19:abc123@thread.tacv2 ./report.pdf

# List files in channel
agent-teams file list <team-id> <channel-id>

# Get file info
agent-teams file info <team-id> <channel-id> <file-id>

Snapshot Command

Get team overview for AI agents (brief by default):

# Brief snapshot (default) — fast, minimal API calls
agent-teams snapshot

# Full snapshot — includes messages and members (slow, large output)
agent-teams snapshot --full

# Filtered full snapshots
agent-teams snapshot --full --channels-only
agent-teams snapshot --full --users-only

# Limit messages per channel (only with --full)
agent-teams snapshot --full --limit 10

Default returns brief JSON with:

  • Team metadata (id, name)
  • Channels (id, name)
  • Hint for next commands

With --full, returns comprehensive JSON with:

  • Team metadata (id, name)
  • Channels (id, name, type, description)
  • Recent messages (id, content, author, timestamp)
  • Members (id, displayName, email)

Output Format

JSON (Default)

All commands output JSON by default for AI consumption:

{
  "id": "19:abc123@thread.tacv2",
  "content": "Hello world",
  "author": "John Doe",
  "timestamp": "2024-01-15T10:30:00.000Z"
}

Pretty (Human-Readable)

Use --pretty flag for formatted output:

agent-teams channel list --pretty

Key Differences from Discord/Slack

FeatureTeamsDiscordSlack
Server terminologyTeamGuildWorkspace
Channel identifiersUUID format (19:xxx@thread.tacv2)Snowflake IDsChannel name or ID
Token storageCookies SQLiteLevelDBLevelDB
Token expiry60-90 minutesRarely expiresRarely expires
Mentions<at id="user-id">Name</at><@user_id><@USER_ID>

Important: Teams uses UUID-style channel IDs (like 19:abc123@thread.tacv2). You cannot use channel names directly - use channel list to find IDs first.

Common Patterns

See references/common-patterns.md for typical AI agent workflows.

Templates

See templates/ directory for runnable examples:

  • post-message.sh - Send messages with error handling
  • monitor-channel.sh - Monitor channel for new messages (with token refresh)
  • team-summary.sh - Generate team summary

Error Handling

All commands return consistent error format:

{
  "error": "Not authenticated. Run \"auth extract\" first."
}

Common errors:

  • Not authenticated: No valid token (auto-extraction failed — see Troubleshooting)
  • Token expired: Token has expired and auto-refresh failed — see Troubleshooting
  • No current team set: Run team switch <id> first
  • Message not found: Invalid message ID
  • Channel not found: Invalid channel ID
  • 401 Unauthorized: Token expired and auto-refresh failed — see Troubleshooting

Configuration

Credentials stored in ~/.config/agent-messenger/teams-credentials.json (0600 permissions). See references/authentication.md for format and security details.

SDK: Programmatic Usage

TeamsClient is available as a TypeScript SDK for building scripts and automations.

Setup

import { TeamsClient } from 'agent-messenger/teams'

const client = await new TeamsClient().login()

Or with manual credential management:

import { TeamsClient, TeamsCredentialManager } from 'agent-messenger/teams'

const manager = new TeamsCredentialManager()
const creds = await manager.getTokenWithExpiry()
if (!creds) {
  throw new Error('Teams token not found. Run auth extract first.')
}
const client = await new TeamsClient().login({ token: creds.token, tokenExpiresAt: creds.tokenExpiresAt })

Example

// List teams
const teams = await client.listTeams()

// List channels in a team
const channels = await client.listChannels(teams[0].id)

// Send a message
const msg = await client.sendMessage(teams[0].id, channels[0].id, 'Hello from SDK!')

// React to it
await client.addReaction(teams[0].id, channels[0].id, msg.id, 'like')

// Upload a file
await client.uploadFile(teams[0].id, channels[0].id, './report.pdf')

Full API Reference

See the Teams SDK documentation for complete method signatures, types, schemas, and examples.

Limitations

  • No real-time events / WebSocket connection
  • No voice/video channel support
  • No team management (create/delete channels, roles)
  • No meeting support
  • No webhook support
  • Plain text messages only (no adaptive cards in v1)
  • User tokens only (no app tokens)
  • Token expires in 60-90 minutes - auto-refreshed, but requires Teams desktop app or browser to be logged in

Troubleshooting

agent-teams: command not found

agent-teams is NOT the npm package name. The npm package is agent-messenger.

If the package is installed globally, use agent-teams directly:

agent-teams team list

If the package is NOT installed, use npx -y by default. Do NOT ask the user which package runner to use — just run it:

npx -y agent-messenger teams team list
bunx agent-messenger teams team list
pnpm dlx agent-messenger teams team list
If you already know the user's preferred package runner (e.g., bunx, pnpm dlx), use that instead.

NEVER run npx agent-teams, bunx agent-teams, or pnpm dlx agent-teams — it will fail or install a wrong package since agent-teams is not the npm package name.

For other troubleshooting (auth extraction, token expiry, permissions), see references/authentication.md.

References

适合场景

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03

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能力概览

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.87%
按下载量换算153

Claude

27.83%
按下载量换算122

Cursor

18.68%
按下载量换算82

Gemini CLI

9.54%
按下载量换算42

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

可疑

权限和风险

操作浏览器

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安装前确认

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来源信息

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