What is shadow-tg AGENTS.md?

Project instructions and tools for reading Telegram channels, posts, comments, and media. Telegram is a messaging service; these tools access its public web channel data without using MTProto or Telethon.

Use them to resolve or search channels, read posts and comments, retrieve media links, search recent posts, and flag channels with low engagement or stale content.

They provide one place to find channels, inspect channel quality, and retrieve channel content with pagination.

How ulinycoin/shadow-tg configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to ulinycoin/shadow-tg. 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/ulinycoin/shadow-tg/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/ulinycoin/shadow-tg

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/ulinycoin/shadow-tg/agents-md/github.svg)](https://agentmods.dev/instructions/ulinycoin/shadow-tg/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/ulinycoin/shadow-tg/agents-md"><img src="https://agentmods.dev/badge/instructions/ulinycoin/shadow-tg/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/ulinycoin/shadow-tg/agents-md"><img src="https://agentmods.dev/badge/instructions/ulinycoin/shadow-tg/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 585 This file is loaded in full into every session.

When invoked 585 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00585	$0.00585
Opus 5.5	$0.00234	$0.00234
Sonnet 5.5	$0.00117	$0.00117
Haiku 4.5	$0.00059	$0.00059

Measured 13d ago against content hash def42bb8b035, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

shadow-tg 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 13d 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.

Origin

This is a copy

100% identical to shadow-tg CLAUDE.md — 52 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

shadow-tg

Telegram channel tools for AI agents — part of the Shadow product line. No MTProto, no Telethon.

Tools (9)

Tool	What it does
`get_channel(channel)`	Channel metadata: subscribers_raw, title, description
`get_posts(channel, limit?, before?)`	Post feed with pagination
`get_post(channel, post_id)`	Single post
`get_media(channel, post_id)`	CDN photo/video URLs
`get_comments(channel, post_id, limit?, before?, after?)`	Comments (history + live-tail)
`resolve_channel(query)`	Check if channel exists
`search_channels(query, limit?, verify?)`	Search channels via DuckDuckGo
`inspect_channels(channels, min_subscribers?, min_median_views?, stale_after_days?)`	Channel quality: subscribers_raw, median_views, engagement, flags (stale, low_engagement, tiny, etc.)
`search_posts(channel, query, limit?)`	Search recent posts (~100, client-side)

Structure

src/tg_mcp/
  server.py            # FastMCP entry point + all tools
  tme_parser.py        # t.me/s parsing: posts, channel, media
  comment_parser.py    # Comments + loadComments API
  channel_search.py    # DuckDuckGo search
  channel_quality.py   # inspect_channel_html + engagement_flags
  cache.py             # TTL cache at /tmp/tg-mcp-cache

Setup

git clone https://github.com/ulinycoin/shadow-tg.git
cd shadow-tg
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

Useful facts

mcp.run() starts the stdio server. main() is the entry point.
Python >= 3.10. Dependencies: lxml, httpx, mcp, ddgs.
Cache at /tmp/tg-mcp-cache/ (TTL 5 min). Debug: rm -f /tmp/tg-mcp-cache/*.json
All channel names are normalized: @, t.me/, t.me/s/ prefixes are stripped.
search_channels(verify=True) is slow (N HTTP requests) but gives subscribers_raw + median_views.
inspect_channels() is the batch version, 5 concurrent requests.
Channels flagged stale sort below active ones.
subscribers_raw is a string like on t.me/s (2.54M, 11.5K). Don't confuse with int.
subscribers is int, may be None. Use subscribers_raw for display.

Read the full file on GitHub · 51 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.

13d ago First seen · 51 lines · 585 tokens per session scan A def42bb8b035

Subscribe to this mod's changes

shadow-tg AGENTS.md is an instructions file published in the GitHub repository ulinycoin/shadow-tg (0 stars, last pushed 13d ago), licensed MIT. It adds 585 tokens to every session, about $0.0023 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to shadow-tg CLAUDE.md, differing in 52 lines, and is treated as a copy.

LLM Research ai-agents channel-analytics mcp telegram

shadow-tg AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
shadow-tg AGENTS.mdulinycoin/shadow-tg	Instructions file	0	13d ago	MIT	A	585	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

shadow-tg: Instructions file for Codex