Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/civilian7/telebot/claude-mdgit clone --depth 1 https://github.com/civilian7/TeleBotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/civilian7/telebot/claude-md)<a href="https://agentmods.dev/instructions/civilian7/telebot/claude-md"><img src="https://agentmods.dev/badge/instructions/civilian7/telebot/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00808 | $0.00808 |
| Opus 5 | $0.00404 | $0.00404 |
| Sonnet 5 | $0.00162 | $0.00162 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
TeleBot CLAUDE.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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 74 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
A Python Telegram notification bot (one-way message sender) that sends text, images, links, and documents to a configured Telegram chat. It is not a conversational bot — it only pushes messages outbound. Three interfaces: a programmatic async API, a Tkinter GUI, and an MCP server for AI agents.
Commands
# Install dependencies
pip install -r requirements.txt
# Run the bot (CLI, demo mode)
python bot.py
# Run the GUI application
python app.py
# Run the MCP server (stdio transport)
python mcp_server.py
Build (단일 실행파일)
pip install pyinstaller
# GUI 앱을 단일 .exe로 빌드 (콘솔 창 없음)
pyinstaller --onefile --noconsole --name TelegramSender --exclude-module PyQt5 --exclude-module PySide6 --exclude-module numpy --exclude-module PIL --exclude-module IPython --exclude-module pytest --exclude-module zmq --exclude-module nbformat --exclude-module jedi app.py
빌드 결과는 dist/TelegramSender.exe에 생성됨. .env 파일을 exe와 같은 디렉터리에 배치하거나, 실행 후 GUI에서 설정 입력.
Architecture
Three entry points sharing one core class:
-
bot.py— Core library. ContainsTelegramSender, an async wrapper aroundpython-telegram-bot(v21.6)BotAPI. Methods:send_text,send_image,send_image_url,send_link,send_document. All methods are async and return the sentMessageobject. Themain()function demonstrates usage viaasyncio.run(). -
app.py— Tkinter GUI (Appclass) that wrapsTelegramSender. Multi-tab interface (text, image, link, document). Each send operation spawns a daemon thread runningasyncio.run()to avoid blocking the UI; GUI updates useroot.after()for thread safety. Also provides .env configuration editing viapython-dotenv.set_key(). -
mcp_server.py— FastMCP 기반 MCP 서버.TelegramSender의 5개 메서드를 MCP 도구로 노출하여 AI 에이전트가 텔레그램 메시지를 전송할 수 있도록 함. stdio transport 사용. 설정 샘플은mcp_config.sample.json참조.
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.
- 5d ago First seen · 74 lines · 808 tokens per session scan A e497d44994f1
TeleBot CLAUDE.md is an instructions file published in the GitHub repository civilian7/TeleBot (0 stars, last pushed 7mo ago), licensed MIT. It adds 808 tokens to every session, about $0.0040 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 2026-08-31.
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codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
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