What is channel-telegram?

A worker that connects LionClaw, an agent system, to Telegram, a messaging service. It receives Telegram messages and files, sends them to LionClaw, and reports progress back to Telegram.

Running a Telegram-based LionClaw channel, receiving user messages, staging files, forwarding work, and displaying progress or results.

It provides the message handling needed to operate an agent through Telegram. It also manages pairing, attachments, typing status, and updates for long-running tasks.

channel-telegram — Skill for Claude Code and Codex by moshthepitt

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 moshthepitt/lionclaw --skill channel-telegram

Clone the repo

git clone --depth 1 https://github.com/moshthepitt/lionclaw

Made for: Claude Code, Codex.

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/moshthepitt/lionclaw/channel-telegram/github.svg)](https://agentmods.dev/skills/moshthepitt/lionclaw/channel-telegram)

Your own site

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

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,181 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 pass 7 Sept 2026

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	$0.00022	$0.02181
Opus 5.5	$0.00009	$0.00872
Sonnet 5.5	$0.00004	$0.00436
Haiku 4.5	$0.00002	$0.00218

Measured 2mo ago against content hash 6b57fff6efe7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

channel-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 2mo ago.

The scan reads SKILL.md. This mod also ships 8 executable files (lionclaw_channel_telegram/__init__.py, lionclaw_channel_telegram/__main__.py, lionclaw_channel_telegram/api.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.

skills/channel-telegram/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Telegram Channel Worker

Use this skill when the user wants Telegram as a LionClaw channel.

Manual QA and Telegram-specific acceptance notes live in README.md in this skill directory.

What you run:

start LionClaw for background work,
run the Telegram worker,
let it bridge Telegram traffic into LionClaw.

Under the hood, the worker:

receives Telegram updates through long polling by default, or through an optional webhook receiver with Telegram secret-token verification,
maps Telegram ids into stable refs such as telegram:user:<id>, telegram:chat:<id>, telegram:topic:<id>, and telegram:message:<id>,
posts normalized inbound facts to /v0/channels/inbound and treats the response as admission state, not completed work,
claims lc_... pairing tokens through the kernel pairing API without starting an agent turn for the claim message,
downloads and stages Telegram files only after the kernel returns waiting_for_attachments,
long-polls /v0/channels/stream/pull for progress events,
starts Telegram typing from kernel queue/runtime status events,
renders long-running turns as one provisional Telegram message and edits it on throttled progress state changes,
renders inline buttons for safe active-turn controls such as status and stop,
intercepts Telegram-local commands such as /status and /stop without stealing runtime slash commands such as /compact,
leases provider deliveries from /v0/channels/outbox/pull,
sends Telegram messages from outbox leases and reports provider outcomes to /v0/channels/outbox/report,
submits worker health checks through /v0/channels/health/report,
advances its progress cursor through /v0/channels/stream/ack.

Prerequisites

a configured LionClaw project instance
Telegram bot token with DM access
python3 and uv for source/development worker runs

Setup

Use the product path first:

printf 'TELEGRAM_BOT_TOKEN=...\n' > telegram.env
lionclaw connect telegram --env-file ./telegram.env
lionclaw doctor

Read the full file on GitHub · 182 lines

Files

What ships with it

13 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.

2mo ago First seen · 182 lines · 22 tokens per session scan A 6b57fff6efe7

Subscribe to this mod's changes

channel-telegram is a skill published in the GitHub repository moshthepitt/lionclaw (19 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 2,181 once invoked, about $0.0001 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 2026-08-30.

Building agents LLM agent-skills agentic-ai ai ai-agents codex

channel-telegram next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
channel-telegrammoshthepitt/lionclaw	Skill	19	1mo ago	MIT	A	22	Claude Code, Codex
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