telegram-download-chat: Instructions file for Codex

AGENTS.md

telegram-download-chat AGENTS.md is an instructions file for Codex, OpenCode from popstas/telegram-download-chat. It costs 5,100 tokens per session, scanned A, original, MIT.

A Claude Code instruction file documenting a Python tool that downloads and analyzes Telegram chat history.

In plain words
What is it for?
It guides work on downloading messages and media, processing chat data, saving JSON or TXT files, and maintaining the CLI, GUI, and MCP server.
Why use it?
It gives the agent an overview of the command-line interface, graphical interface, core modules, and AI-assistant integration before making changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is popstas/telegram-download-chat's own configuration. It tells Codex and OpenCode how to work on telegram-download-chat itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything telegram-download-chat configures →

Reuse

Borrowing it

Nothing to install: this file belongs to popstas/telegram-download-chat. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/popstas/telegram-download-chat/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/popstas/telegram-download-chat

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 5,100 This file is loaded in full into every session.
When invoked 5,100 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.05100 $0.05100
Opus 5 $0.02550 $0.02550
Sonnet 5 $0.01020 $0.01020
Haiku 4.5 $0.00510 $0.00510

Measured 8d ago against content hash 230c1a726bd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

telegram-download-chat AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Telegram Download Chat is a Python CLI utility that downloads and analyzes Telegram chat history. It provides both command-line and GUI interfaces for downloading messages from chats, groups, channels, or archived exports and saving them in JSON/TXT formats.

Key Components

  • Core Engine (core/ package): Contains TelegramChatDownloader plus helper modules (auth, config, download, entities, media, messages, context, render, progress, comments, citations, reactions, update_checker) built on Telethon
  • CLI Interface (cli.py): Command-line interface with argument parsing and async message processing
  • GUI Interface (gui_app.py): PySide6-based graphical interface with threading for async operations
  • MCP Server (mcp/ package): Model Context Protocol server exposing Telegram chat tools for AI assistants
  • Configuration (paths.py): Handles config file management and application directories

Architecture

The application follows a modular design:

  1. Configuration Layer: YAML-based config with API credentials and user settings
  2. Telegram Client Layer: Telethon wrapper for authenticated API communication
  3. Processing Layer: Message filtering, date splitting, format conversion
  4. Interface Layer: CLI and GUI frontends sharing the same core functionality

Development Commands

Use .venv virtual environment.

Setup Development Environment

# Install in development mode with all dependencies
pip install -e ".[dev,gui]"

# Or install from requirements
pip install -r requirements.txt

Testing

# Run tests
pytest

# Run tests with async support
pytest -v

# Run specific test
pytest tests/test_telegram_download_chat.py::TestClass::test_method

# Opt-in end-to-end export tests against a live Telegram group (skipped by default).
# Requires an authenticated session and membership in the test group.
TG_E2E=1 pytest -m e2e   # override the group via TG_E2E_GROUP

Read the full file on GitHub · 197 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 197 lines · 5,100 tokens per session scan A 230c1a726bd5

Subscribe to this mod's changes

telegram-download-chat AGENTS.md is an instructions file published in the GitHub repository popstas/telegram-download-chat (208 stars, last pushed 9d ago), licensed MIT. It adds 5,100 tokens to every session, about $0.0255 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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