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Agent Skill · 研究检索

agent-slackbot(松弛机器人 Agent)

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。

agent-slackbot 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,476。

总安装 1,552周安装 66GitHub Stars 69下载 544核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/agent-slackbot

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/devxoul/agent-messenger --skill agent-slackbot;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agent-slackbot 怎么安装?

在终端执行 npx skills add https://github.com/devxoul/agent-messenger --skill agent-slackbot。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-slackbot 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-slackbot 需要什么权限?

权限级别是接触敏感数据。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。

agent-slackbot 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

agent-slackbot 用的人多吗?

公开数据是累计安装 1,552 次,近一周安装 66 次,下载 544 次,GitHub 69 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-slackbot 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-slackbot

松弛机器人 Agent · 本页

1,55269接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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