claude-telegram-relay: Instructions file for Claude Code

CLAUDE.md

claude-telegram-relay CLAUDE.md is an instructions file for Claude Code from godagoo/claude-telegram-relay. It costs 2,380 tokens per session, scanned C, original, MIT.

A setup guide for connecting Telegram to a personal AI assistant powered by Claude, using a Telegram bot and Supabase, a hosted database service.

In plain words
What is it for?
It helps set up the Telegram bot, user identification, environment variables, database, and memory features for the relay.
Why use it?
It breaks setup into small phases, collects the required details, saves configuration, and checks each step before continuing.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: positional $N argument; mentions Claude Code.

This is godagoo/claude-telegram-relay's own configuration. It tells Claude Code how to work on claude-telegram-relay 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 claude-telegram-relay configures →

Reuse

Borrowing it

Nothing to install: this file belongs to godagoo/claude-telegram-relay. 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/godagoo/claude-telegram-relay/master/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/godagoo/claude-telegram-relay

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 2,380 This file is loaded in full into every session.
When invoked 2,380 The same file — it is already loaded in full.
Security scan C 2 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 $0.02380 $0.02380
Opus 5 $0.01190 $0.01190
Sonnet 5 $0.00476 $0.00476
Haiku 4.5 $0.00238 $0.00238

Measured 10d ago against content hash f06fa65e6e67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade C, and why

claude-telegram-relay CLAUDE.md scanned grade C with 2 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 10d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

- Bun not installed → `curl -fsSL https://bun.sh/install | bash`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Bun not installed → `curl -fsSL https://bun.sh/install | bash`
CLAUDE.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Telegram Relay — Setup Guide

Claude Code reads this file automatically. Walk the user through setup one phase at a time. Ask for what you need, configure everything yourself, and confirm each step works before moving on.

How This Works

This project turns Telegram into a personal AI assistant powered by Claude.

The user cloned this repo (or gave you the link). Your job: guide them through setup conversationally. Ask questions, save their answers to .env, test each step, move on.

Do not dump all phases at once. Start with Phase 1. When it works, move to Phase 2. Let the user control the pace.

If this is a fresh clone, run bun run setup first to install dependencies and create .env.


Phase 1: Telegram Bot (~3 min)

You need from the user:

  • A Telegram bot token from @BotFather
  • Their personal Telegram user ID

What to tell them:

  1. Open Telegram, search for @BotFather, send /newbot
  2. Pick a display name and a username ending in "bot"
  3. Copy the token BotFather gives them
  4. Get their user ID by messaging @userinfobot on Telegram

What you do:

  1. Run bun run setup if .env does not exist yet
  2. Save TELEGRAM_BOT_TOKEN and TELEGRAM_USER_ID in .env
  3. Run bun run test:telegram to verify — it sends a test message to the user

Done when: Test message arrives on Telegram.


Phase 2: Database & Memory — Supabase (~12 min)

Your bot's memory lives in Supabase: conversation history, facts, goals, and semantic search.

Step 1: Create Supabase Project

You need from the user:

  • Supabase Project URL
  • Supabase anon public key

What to tell them:

  1. Go to supabase.com, create a free account
  2. Create a new project (any name, any region close to them)
  3. Wait ~2 minutes for it to provision
  4. Go to Project Settings > API
  5. Copy: Project URL and anon public key

What you do:

  1. Save SUPABASE_URL and SUPABASE_ANON_KEY to .env

Step 2: Connect Supabase MCP

This lets Claude Code manage the database directly — run queries, deploy functions, apply migrations.

Read the full file on GitHub · 268 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. 10d ago First seen · 268 lines · 2,380 tokens per session scan C f06fa65e6e67

Subscribe to this mod's changes

claude-telegram-relay CLAUDE.md is an instructions file published in the GitHub repository godagoo/claude-telegram-relay (326 stars, last pushed 6mo ago), licensed MIT. It adds 2,380 tokens to every session, about $0.0119 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other instructions, from other repositories