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agent-slackbot松弛机器人 Agent

Agent Skill

用于处理 Slack 工作区里的频道、消息、线程、用户和通知信息。它适合让 Agent 查询团队沟通记录、整理上下文、回复线程或辅助协作提醒。使用时需要确认机器人或用户 token 是否具备目标频道访问权,私有频道和历史消息通常有额外权限限制;发送消息、@成员或批量读取对话时,应避免泄露内部讨论和敏感工作信息。

总安装

1,552

周安装

66

GitHub Stars

69

下载量

544
CodexClaudeCursorGemini CLI

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-slackbot(松弛机器人 Agent)
来源仓库:https://github.com/devxoul/agent-messenger
仓库路径:skills/agent-slackbot
安装命令:
npx skills add https://github.com/devxoul/agent-messenger --skill agent-slackbot
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-slackbot

简介

agent-slackbot 使用 xoxb- 类型 bot token 与 Slack 交互,适用于服务端集成。

  • 支持消息发送、频道管理和身份验证,区别于用户令牌提取模式。
  • 可通过 --name 参数为不同机器人命名,实现多 bot 部署管理。
  • 发送消息时应注意 @ 提及范围和线程上下文,避免干扰正常工作流程。
  • 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 SlackBot

A TypeScript CLI tool that enables AI agents and humans to interact with Slack workspaces using bot tokens (xoxb-). Unlike agent-slack which extracts user tokens from the desktop app, agent-slackbot uses standard Slack Bot tokens for server-side and CI/CD integrations.

Quick Start

# Set your bot token
agent-slackbot auth set xoxb-your-bot-token

# Or set with a custom bot identifier for multi-bot setups
agent-slackbot auth set xoxb-your-bot-token --bot deploy --name "Deploy Bot"

# Verify authentication
agent-slackbot auth status

# Send a message
agent-slackbot message send C0ACZKTDDC0 "Hello from bot!"

# List channels
agent-slackbot channel list

Authentication

Bot Token Setup

agent-slackbot uses Slack Bot tokens (xoxb-) which you get from the Slack App configuration:

# Set bot token (validates against Slack API before saving)
agent-slackbot auth set xoxb-your-bot-token

# Set with a custom bot identifier
agent-slackbot auth set xoxb-your-bot-token --bot deploy --name "Deploy Bot"

# Check auth status
agent-slackbot auth status

# Clear stored credentials
agent-slackbot auth clear

Multi-Bot Management

Store multiple bot tokens and switch between them:

# Add multiple bots
agent-slackbot auth set xoxb-deploy-token --bot deploy --name "Deploy Bot"
agent-slackbot auth set xoxb-alert-token --bot alert --name "Alert Bot"

# List all stored bots
agent-slackbot auth list

# Switch active bot
agent-slackbot auth use deploy

# Use a specific bot for one command (without switching)
agent-slackbot message send C0ACZKTDDC0 "Alert!" --bot alert

# Remove a stored bot
agent-slackbot auth remove deploy

# Disambiguate bots with same ID across workspaces
agent-slackbot auth use T123456/deploy

The --bot <id> flag is available on all commands to override the active bot for a single invocation.

For bot token setup (Slack App creation, required scopes, app manifest) and CI/CD environment variables, see references/authentication.md.

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 workspace 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 workspace IDs (from auth status)
  • After discovering useful channel IDs and names (from channel list, etc.)
  • After discovering user IDs and names (from user list, etc.)
  • After the user gives you an alias or preference ("call this the alerts bot", "my main workspace is X")
  • After setting up bot identifiers (from auth list)

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

What to Store

  • Workspace IDs with names
  • Channel IDs with names and purpose
  • User IDs with display names
  • Bot identifiers and their purposes
  • User-given aliases ("alerts bot", "deploys channel")
  • Any user preference expressed during interaction

What NOT to Store

Never store bot 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, user 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

## Slack Workspaces (Bot)

- `T0ABC1234` — Acme Corp

## Bots (Acme Corp)

- `deploy` — Deploy Bot (active)
- `alert` — Alert Bot

## Channels (Acme Corp)

- `C012ABC` — #general (company-wide announcements)
- `C034DEF` — #engineering (team discussion)
- `C056GHI` — #deploys (CI/CD notifications)

## Users (Acme Corp)

- `U0ABC123` — Alice (engineering lead)
- `U0DEF456` — Bob (backend)

## Aliases

- "deploys" → `C056GHI` (#deploys in Acme Corp)

## Notes

- Deploy Bot is used for CI/CD notifications
- Alert Bot is used for error monitoring
Memory lets you skip repeated channel list and auth list calls. When you already know an ID from a previous session, use it directly.

Commands

Whoami Command

# Show current authenticated bot
agent-slackbot whoami
agent-slackbot whoami --pretty
agent-slackbot whoami --bot <bot-id>

Message Commands

# Send a message
agent-slackbot message send <channel> <text>
agent-slackbot message send C0ACZKTDDC0 "Hello world"

# Send a threaded reply
agent-slackbot message send C0ACZKTDDC0 "Reply" --thread <ts>

# List messages
agent-slackbot message list <channel>
agent-slackbot message list C0ACZKTDDC0 --limit 50

# Get a single message by timestamp
agent-slackbot message get <channel> <ts>

# Get thread replies (includes parent message)
agent-slackbot message replies <channel> <thread_ts>
agent-slackbot message replies C0ACZKTDDC0 1234567890.123456 --limit 50

# Update a message (bot's own messages only)
agent-slackbot message update <channel> <ts> <new-text>

# Delete a message (bot's own messages only)
agent-slackbot message delete <channel> <ts> --force

Channel Commands

# List channels the bot can see
agent-slackbot channel list
agent-slackbot channel list --limit 50

# Get channel info
agent-slackbot channel info <channel>
agent-slackbot channel info C0ACZKTDDC0

User Commands

# List users
agent-slackbot user list
agent-slackbot user list --limit 50

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

Reaction Commands

# Add reaction
agent-slackbot reaction add <channel> <ts> <emoji>
agent-slackbot reaction add C0ACZKTDDC0 1234567890.123456 thumbsup

# Remove reaction
agent-slackbot reaction remove <channel> <ts> <emoji>

Output Format

JSON (Default)

All commands output JSON by default for AI consumption:

{
  "ts": "1234567890.123456",
  "channel": "C0ACZKTDDC0",
  "text": "Hello world"
}

Pretty (Human-Readable)

Use --pretty flag for formatted output:

agent-slackbot channel list --pretty

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
  • workspace-summary.sh - Generate workspace summary

Error Handling

All commands return consistent error format:

{
  "error": "No credentials. Run \"auth set\" first."
}

Common errors:

  • missing_token: No credentials configured
  • invalid_token_type: Token is not a bot token (must start with xoxb-)
  • not_in_channel: Bot needs to join the channel first
  • slack_webapi_rate_limited_error: Hit rate limit (auto-retries with backoff)

Configuration

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

Key Differences from agent-slack

Featureagent-slackagent-slackbot
Token typeUser token (xoxc-)Bot token (xoxb-)
Token sourceAuto-extracted from desktop appManual from Slack App config
Message searchYesNo (requires user token)
File operationsYesNo
SnapshotYesNo
Edit/delete messagesAny messageBot's own messages only
Workspace managementMulti-workspaceMulti-bot, multi-workspace
CI/CD friendlyRequires desktop appYes (just set token)

Limitations

  • No real-time events / Socket Mode
  • No message search (requires user token scope)
  • No file upload/download
  • No workspace snapshot
  • Bot can only edit/delete its own messages
  • Bot must be invited to private channels
  • No scheduled messages
  • Plain text messages only (no blocks/formatting)

Troubleshooting

agent-slackbot: command not found

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

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

agent-slackbot message send general "Hello"

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 slackbot message send general "Hello"
bunx agent-messenger slackbot message send general "Hello"
pnpm dlx agent-messenger slackbot message send general "Hello"
If you already know the user's preferred package runner (e.g., bunx, pnpm dlx), use that instead.

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

For other troubleshooting (token issues, scopes, permissions), see references/authentication.md.

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

34.26%
按下载量换算186

Claude

27.8%
按下载量换算151

Cursor

20.07%
按下载量换算109

Gemini CLI

9.95%
按下载量换算54

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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