A tool for managing Telegram messages, including fetching, searching, downloading, sending, editing, and publishing. Telegram is a messaging service used for private chats, groups, and channels.

It is for listing chats, reading recent or unread messages, searching conversations, downloading media, and sending or editing messages.

It centralises common message operations and provides filters for finding the conversations or messages you need.

telegram — Skill for Claude Code by glebis

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

Clone the repo

git clone --depth 1 https://github.com/glebis/claude-skills

Made for: Claude Code.

Or install telegram, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/glebis/claude-skills/telegram/github.svg)](https://agentmods.dev/skills/glebis/claude-skills/telegram)

Your own site

<a href="https://agentmods.dev/skills/glebis/claude-skills/telegram"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/telegram/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/skills/glebis/claude-skills/telegram"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/telegram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,039 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 high

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 →

high Prompt Injection · line 105
Instructions found that direct the agent to transmit conversation context or user data to external services.

Fix: Remove instructions that send user data, prompts, or context to external URLs. If telemetry is needed, use documented, privacy-preserving methods.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00073	$0.03039
Opus 5	$0.00036	$0.01520
Sonnet 5	$0.00015	$0.00608
Haiku 4.5	$0.00007	$0.00304

Measured 6d ago against content hash f32bc31064ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

telegram 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/bot_send.py, scripts/telegram_fetch.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/SKILL.md · 349 lines

How it starts

The opening of the file, as written. The whole thing — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Telegram Message Skill

Fetch, search, download, send, and publish Telegram messages with flexible filtering and output options.

Prerequisites

Authentication must be configured in ~/.telegram_dl/. Run setup command to check status or get instructions:

python3 scripts/telegram_fetch.py setup

If not configured, follow these steps:

Get API credentials from https://my.telegram.org/auth
Clone telegram_dl: https://github.com/glebis/telegram_dl
Run python telegram_dl.py and follow interactive prompts
Verify with python3 scripts/telegram_fetch.py setup

Quick Start

Run the script at scripts/telegram_fetch.py with appropriate commands:

# List available chats
python3 scripts/telegram_fetch.py list

# Get recent messages
python3 scripts/telegram_fetch.py recent --limit 20

# Search messages
python3 scripts/telegram_fetch.py search "meeting"

# Get unread messages
python3 scripts/telegram_fetch.py unread

Commands

List Chats

To see available Telegram chats:

python3 scripts/telegram_fetch.py list
python3 scripts/telegram_fetch.py list --limit 50
python3 scripts/telegram_fetch.py list --search "AI"
python3 scripts/telegram_fetch.py list --search "claude code глеб + саши" --exact

Options:

--search "text": Filter by substring match (case-insensitive)
--exact: Require exact name match instead of substring (use with --search)
--limit N: Max chats to retrieve (default: 30, increase if chat not found)

Important: If you're looking for a specific chat by exact name and it's not found, increase --limit to 100 or 200, as the chat may not be in the most recent 30.

Returns JSON with chat IDs, names, types, and unread counts.

Fetch Recent Messages

To get recent messages:

# From all chats (last 50 messages across top 10 chats)
python3 scripts/telegram_fetch.py recent

# From specific chat
python3 scripts/telegram_fetch.py recent --chat "Tool Building Ape"
python3 scripts/telegram_fetch.py recent --chat-id 123456789

# With limits
python3 scripts/telegram_fetch.py recent --limit 100
python3 scripts/telegram_fetch.py recent --days 7

Read the full file on GitHub · 349 lines

Files

What ships with it

3 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.

6d ago First seen · 349 lines · 73 tokens per session scan A f32bc31064ce

Subscribe to this mod's changes

telegram is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 7d ago), licensed MIT. It adds 73 tokens to every session and 3,039 once invoked, about $0.0004 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 2026-09-03.

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telegram