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telegram-contextTelegram context 效率

Agent Skill

telegram-context 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

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周安装

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下载量

7,936
OpenClaw

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

MIT-0

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:telegram-context(Telegram context 效率)
来源仓库:https://github.com/fourthdensity/telegram-context
安装命令:
openclaw skills install telegram-context
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install telegram-context

简介

在会话开始时获取最近的 Telegram 消息,以通过切换和手动获取命令维护跨会话的对话上下文。

SKILL.md

name
telegram-context
description
Toggle-enabled skill that fetches Telegram message history at session start for conversational continuity. Maintains context across sessions without relying solely on memory files.
homepage
https://github.com/openclaw/skills
metadata
openclaw
emoji
💬
requires
bins
[]
env
[]
permissions

Telegram Context

Provides conversational continuity by fetching recent Telegram messages at session start. When enabled, the agent automatically retrieves message history to maintain context across disconnected sessions.

Credits

Created by @fourthdensity

Commands

  • /telegram-context on — Enable automatic history fetching
  • /telegram-context off — Disable automatic fetching
  • /telegram-context status — Show current settings
  • /telegram-context fetch [n] — Manually fetch last n messages (default: 20)

Setup

  1. The skill auto-detects Telegram channels — no configuration needed
  2. State is stored in memory/telegram-context.json
  3. Only activates when the current channel is Telegram

How It Works

When a session starts in Telegram:

  1. Check memory/telegram-context.json for enabled state
  2. If enabled, fetch recent messages via message tool
  3. Provide history as context for the conversation
  4. Update lastFetch timestamp

State File

memory/telegram-context.json:

{
  "enabled": true,
  "fetchCount": 20,
  "lastFetch": "2025-01-15T10:30:00Z"
}

Implementation Notes

Command Handlers

Enable/disable:

// Read current state
read: memory/telegram-context.json

// Update state
write: memory/telegram-context.json
{
  "enabled": true/false,
  "fetchCount": 20,
  "lastFetch": "2025-01-15T10:30:00Z"
}

Manual fetch:

message: {
  action: "list",
  limit: 20  // or user-specified count
}
// Provide results as context summary

Session Start Behavior

At the start of each Telegram session:

  1. Check if memory/telegram-context.json exists
  2. If enabled, call message tool with action: "list"
  3. Summarize recent messages for context window
  4. Acknowledge continuity to user (optional)

Implementation Scope

The skill uses OpenClaw's built-in message tool with:

  • action: "list" — limited to the current Telegram chat only
  • No access to other chats, channels, or external Telegram accounts
  • Requires the OpenClaw gateway to have Telegram channel permissions already configured

Privacy & Security

Data Handling:

  • Only fetches from the current chat (never cross-chats or other Telegram conversations)
  • Message content is included in the agent's context window and sent to the configured LLM provider
  • No message content is stored in telegram-context.json — only settings and timestamps
  • Message content may appear in OpenClaw session logs (depends on your logging configuration)

Recommendations for Sensitive Conversations:

  • Use manual fetch (/telegram-context fetch) instead of auto-fetch
  • Set low fetchCount (5-10) to minimize context exposure
  • Disable the skill entirely when discussing sensitive topics: /telegram-context off
  • Be aware that fetched messages become part of the conversation history sent to AI models

User Control:

  • Full toggle on/off anytime — no persistence beyond your control
  • No external credentials or API keys required
  • No binaries installed — pure instruction-based skill

Limitations

  • Telegram-only (other channels not supported)
  • Requires appropriate message permissions via OpenClaw gateway
  • Large history may need summarization to fit context window
  • Fetched messages are sent to your configured LLM provider — review your threat model for sensitive conversations

Tips

  • Set fetchCount to 10-30 for most use cases (balance context vs. tokens)
  • Use /telegram-context fetch 50 when you need deep context for a specific task
  • Works best alongside MEMORY.md for long-term persistence

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

79.61%
按下载量换算6,318

安全审计

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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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