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telegram-telethon

telegram-telethon is a skill for Claude Code from glebis/claude-skills. It costs 107 tokens per session (5,108 once invoked), scanned A, original, MIT.

A Telegram automation tool built around Telethon, a Python library for using Telegram programmatically. It can handle messages, media, chat monitoring, and background tasks that start coding-agent sessions.

In plain words
What is it for?
It is for sending and receiving messages, monitoring chats, running a background daemon, downloading media, and starting agent sessions from Telegram activity.
Why use it?
It supports ongoing Telegram workflows that would be difficult to manage through occasional manual commands.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the telegram-telethon plugin — 1 skill shipped together

not rated 409repo +5 yesterday A scan SkillSpector: warn 107 tokens original MIT

Good fit It is for sending and receiving messages, monitoring chats, running a background daemon, downloading media, and starting agent sessions from Telegram activity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/glebis/claude-skills/telegram-telethon
View source ↗ glebis/claude-skills skills.salient.community
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.

Any agent
npx skills add glebis/claude-skills --skill telegram-telethon
Clone the repo
git clone --depth 1 https://github.com/glebis/claude-skills

Made for: Claude Code.

Or install telegram-telethon, the plugin that ships this one along with the rest of its 1 skill.

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-telethon

README.md
[![agentmods](https://agentmods.dev/badge/skills/glebis/claude-skills/telegram-telethon/github.svg)](https://agentmods.dev/skills/glebis/claude-skills/telegram-telethon)
Your own site
<a href="https://agentmods.dev/skills/glebis/claude-skills/telegram-telethon"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/telegram-telethon/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.

agentmods 80×15 button for telegram-telethon

Your own site · 80×15
<a href="https://agentmods.dev/skills/glebis/claude-skills/telegram-telethon"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/telegram-telethon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,108 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 220
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00107 $0.05108
Opus 5.5 $0.00043 $0.02043
Sonnet 5.5 $0.00021 $0.01022
Haiku 4.5 $0.00011 $0.00511

Measured 2mo ago against content hash 5070588a63cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

telegram-telethon 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 2mo ago.

The scan reads SKILL.md. This mod also ships 35 executable files (scripts/tg.py, scripts/tgd.py, src/telegram_telethon/__init__.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

telegram-telethon/SKILL.md · 519 lines

How it starts

The opening of the file, as written. The whole thing — 519 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Behavior Guidelines

Draft vs Send: Follow User's Intent

User says Codex does Clarify?
"драфт", "draft", "сделай драфт" draft No
"отправь", "пошли", "send" send No
"напиши сообщение" (ambiguous) Ask what user wants Yes

Key Rules

  1. Explicit draft → draft: "драфт", "draft" → use draft command immediately
  2. Explicit send → send: "отправь", "пошли", "send" → use send command immediately
  3. Ambiguous → clarify: If neither "draft" nor "send" verb present, ask: "Создать драфт или сразу отправить?"

Examples

User: "сделай драфт для lv: привет" Codex: Uses draft --chat "lv" --text "привет" immediately

User: "отправь сообщение Маше: встретимся в 5?" Codex: Uses send --chat "Маша" --text "встретимся в 5?" immediately

User: "напиши сообщение для Маши: встретимся в 5?" Codex: Asks "Создать драфт или сразу отправить?"

Telegram Telethon Skill

Full Telethon API wrapper with daemon mode and Codex integration. Supports interactive setup, background message monitoring, and automatic Codex session spawning per chat.

Package Layout

telegram-telethon/
├── SKILL.md                          # This file
├── pyproject.toml                    # Installable Python package
├── scripts/
│   ├── tg.py                         # Main CLI (messages, media, drafts, etc.)
│   └── tgd.py                        # Daemon controller
├── src/telegram_telethon/            # Importable package
│   ├── core/                         # auth, config
│   ├── modules/                      # messages, media
│   ├── daemon/                       # runner, handlers, claude_bridge
│   └── utils/                        # formatting
└── tests/                            # pytest unit + integration tests

Scripts import from src/telegram_telethon. Install the package in editable mode so tg.py/tgd.py can resolve imports:

cd telegram-telethon
pip install -e .
# or with dev tools (pytest, coverage):
pip install -e ".[dev]"

Read the full file on GitHub · 519 lines

Files

What ships with it

38 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 519 lines · 107 tokens per session scan A 5070588a63cf

Subscribe to this mod's changes

telegram-telethon is a skill published in the GitHub repository glebis/claude-skills (409 stars, last pushed yesterday), licensed MIT. It adds 107 tokens to every session and 5,108 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.

Building agentsProductivityagent-skillsclaude-skillscodex-skill
Related

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pypet-snippetsfabiandistler/agentsSkill23d agononeA42Claude Code, Codex