telegram-context

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":["message:read"]}}

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