telegram-context

Browser & Automation
v1.0.1
Benign

Toggle-enabled skill that fetches Telegram message history at session start for conversational continuity.

480 downloads480 installsby @fourthdensity

Setup & Installation

Install command

clawhub install fourthdensity/telegram-context

If the CLI is not installed:

Install command

npx clawhub@latest install fourthdensity/telegram-context

Or install with OpenClaw CLI:

Install command

openclaw skills install fourthdensity/telegram-context

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/fourthdensity/telegram-context

What This Skill Does

Fetches recent Telegram message history at the start of each session so the agent has context from prior conversations. Toggle on or off anytime via slash commands, with manual fetch available for on-demand retrieval. State is stored locally in a JSON file, no external credentials required.

Unlike memory files alone, this pulls actual message content at session start rather than relying on manually written summaries.

When to Use It

  • Resuming a multi-day project discussion without re-explaining context
  • Fetching the last 10 messages before a task handoff
  • Disabling auto-fetch during a sensitive conversation
  • Manually pulling 50 messages to catch up after a long absence
  • Checking how many messages were last fetched with a status command
View original SKILL.md file
# 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`:
```json
{
  "enabled": true,
  "fetchCount": 20,
  "lastFetch": "2025-01-15T10:30:00Z"
}
```

## Implementation Notes

### Command Handlers

**Enable/disable:**
```javascript
// 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:**
```javascript
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

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Resuming a multi-day project discussion without re-explaining context

AGENT
  1. 1Resuming a multi-day project discussion without re-explaining context
  2. 2Fetching the last 10 messages before a task handoff
  3. 3Disabling auto-fetch during a sensitive conversation
  4. 4Manually pulling 50 messages to catch up after a long absence
  5. 5Checking how many messages were last fetched with a status command
OUTPUT
Toggle-enabled skill that fetches Telegram message history at session start for conversational continuity.

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Last updatedFeb 25, 2026