Borrowing it
Nothing to install: this file belongs to d8rt8v/ChatGPT-to-Telegram-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/d8rt8v/ChatGPT-to-Telegram-MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/d8rt8v/ChatGPT-to-Telegram-MCPWrote 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/d8rt8v/chatgpt-to-telegram-mcp/agents-md)<a href="https://agentmods.dev/instructions/d8rt8v/chatgpt-to-telegram-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/d8rt8v/chatgpt-to-telegram-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/d8rt8v/chatgpt-to-telegram-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/d8rt8v/chatgpt-to-telegram-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00997 | $0.00997 |
| Opus 5 | $0.00498 | $0.00498 |
| Sonnet 5 | $0.00199 | $0.00199 |
| Haiku 4.5 | $0.00100 | $0.00100 |
Grade A, and why
ChatGPT-to-Telegram-MCP 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 9d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project overview
This repository contains an OAuth-protected Streamable HTTP MCP server deployed on Cloudflare Workers. It allows ChatGPT or another MCP client to read this server's recent Telegram send history and publish deduplicated posts to one fixed Telegram channel.
The public MCP tools are:
get_previous_messages: reads up to 100 D1 records from the previous 48 hours.send_message: reserves a text fingerprint and canonical source URLs in D1, publishes through the Telegram Bot API, and records the result.
Treat these tool names and their input/output shapes as public interfaces. Preserve backward compatibility unless the task explicitly requests a breaking change.
Repository map
src/index.js: MCP server, tool schemas, Worker entrypoint, and OAuth provider configuration.src/oauth-handler.js: GitHub OAuth sign-in, allowlist enforcement, consent page, and health endpoint.src/storage.js: D1 history, reservations, duplicate lookup, and send-state updates.src/dedupe.js: text fingerprints and canonical source URLs.src/telegram.js: Telegram Bot API client.migrations/: additive D1 migrations.test/: Node.js tests.wrangler.example.jsoncand.env.example: public configuration templates.
Setup and commands
Use Node.js 20 or newer and install dependencies with npm ci.
For local development, copy wrangler.example.jsonc to wrangler.jsonc and .env.example to .env, then replace every placeholder. Both live files are ignored by Git.
npm test: run the complete Node.js test suite.npm run check: check JavaScript syntax.npm run dev: start the local Worker.npm run db:migrate:local: apply D1 migrations to the localDBbinding.npm run db:migrate:remote: apply migrations to the configured remote D1 database.npm run deploy: deploy the Worker.npm run secrets:push: upload.envvalues as Cloudflare Worker secrets.
Remote migrations, secret uploads, and deployments change external state. Run them only when the user explicitly requests that action. A Wrangler --dry-run build is appropriate for local verification.
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.
- 9d ago First seen · 71 lines · 997 tokens per session scan A 8abad44a6ed6
ChatGPT-to-Telegram-MCP AGENTS.md is an instructions file published in the GitHub repository d8rt8v/ChatGPT-to-Telegram-MCP (1 stars, last pushed 1mo ago), licensed MIT. It adds 997 tokens to every session, about $0.0050 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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langchain AGENTS.md
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deepseek-harness AGENTS.md
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