telegram-bot AGENTS.md

telegram-bot AGENTS.md is an instructions file for Codex, OpenCode from narumiruna/telegram-bot. It costs 791 tokens per session, scanned B, original, MIT.

Repository instructions for developing a Python Telegram bot. They define its documentation, coding style, commands, testing process, and project boundaries.

In plain words
What is it for?
Use them when changing, testing, formatting, or documenting the narumiruna/telegram-bot repository.
Why use it?
They keep setup information consistent and help developers make changes that follow the project’s rules.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/narumiruna/telegram-bot/agents-md
Clone the repo
git clone --depth 1 https://github.com/narumiruna/telegram-bot

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for telegram-bot AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/narumiruna/telegram-bot/agents-md.svg)](https://agentmods.dev/instructions/narumiruna/telegram-bot/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/narumiruna/telegram-bot/agents-md"><img src="https://agentmods.dev/badge/instructions/narumiruna/telegram-bot/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 791 This file is loaded in full into every session.
When invoked 791 The same file — it is already loaded in full.
Security scan B 1 finding. Scan, not verified.
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 $0.00791 $0.00791
Opus 5 $0.00396 $0.00396
Sonnet 5 $0.00158 $0.00158
Haiku 4.5 $0.00079 $0.00079

Measured 3d ago against content hash 8acf54981804, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

telegram-bot AGENTS.md scanned grade B with 1 finding 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 3d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- Preserve restrictive deployment dotenv permissions through `umask 077` and `chmod 600`.
AGENTS.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository guidance

Documentation

  • Keep README.md and .env.example aligned when changing setup, commands, configuration, or environment variables.
  • Append exactly one line to docs/CHANGELOG.md for each requested repository change using YYYY-MM-DD | type(scope): summary (#ref).
  • Never modify existing docs/CHANGELOG.md lines.

Code style

  • Target Python 3.14 or newer.
  • Use async-first Python and type hints throughout src/.
  • Follow Ruff with a 120-character line limit and standard Python naming conventions.
  • Keep callbacks small and focused on one Telegram interaction.

Commands

  • Run uv sync to install or reconcile dependencies.
  • Run uv run bot from the repository root with a populated .env to start the bot.
  • Use uv run pytest tests/<path>.py -v for targeted tests.
  • Run just for formatting, linting, type checking, and the coverage test suite.
  • Run prek run -a for the complete repository hook set.
  • For documentation-only changes, prek run --files <changed-paths> and git diff --check are sufficient.

Boundaries

  • Preserve both replied and current message text when adding fetched URL content, and treat input as empty only when both blocks are empty.
  • Use reply() for shared Telegram response models and update callers plus awaited test mocks together when changing delivery behavior.
  • Keep @safe_callback compatible with Message passed positionally or through the message keyword.
  • Escape externally sourced TWSE names and symbols before formatting them as Telegram MarkdownV2.
  • Persist complete result.to_input_list() items in per-chat agent memory and rely on process restart to reset memory after tool changes.
  • Keep the supported numba lower bound in pyproject.toml and pass Python 3.14 explicitly during deployment sync.
  • Do not create or push release tags unless explicitly requested because matching tags trigger deployment.

Security

  • Keep local secrets in the ignored .env file and expose documented placeholders only through .env.example.
  • Keep tokens and integration credentials out of source, tests, logs, and Git history.
  • Preserve restrictive deployment dotenv permissions through umask 077 and chmod 600.

Read the full file on GitHub · 67 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. 3d ago First seen · 67 lines · 791 tokens per session scan B 8acf54981804

Subscribe to this mod's changes

telegram-bot AGENTS.md is an instructions file published in the GitHub repository narumiruna/telegram-bot (1 stars, last pushed 6d ago), licensed MIT. It adds 791 tokens to every session, about $0.0040 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other instructions, from other repositories

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens

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.

openai/codex · 5,182 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,345 tokens

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).

microsoft/vscode · 5,001 tokens

next.js AGENTS.md

Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens