Skip to content
TrustedSkillsbeta
Back to all skills

Python Telegram Bot

Checked
genius-cai·vlatest·backend

Automates Telegram bot interactions using Python, enabling message handling, data retrieval, and task execution via Genius-Cai.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add genius-cai/finance-ai --skill python-telegram-bot -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

genius-cai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned genius-cai/finance-ai at f9600482ca.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f9600482ca
Manifest
.claude/skills/python-telegram-bot/SKILL.md
Scanned
2 files, 89 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The python-telegram-bot library enables AI agents to build interactive bots for the Telegram messaging platform. It handles incoming messages, user updates, and command parsing to facilitate two-way communication with users directly in their chat interfaces.

When to use it

  • Deploying a financial advisory bot that sends market alerts or portfolio summaries to clients via Telegram.
  • Creating a support agent that answers FAQs and resolves tickets within the Telegram ecosystem.
  • Building a notification system that pushes real-time data updates from backend services to user chats.
  • Integrating with existing Python-based AI models to create a conversational interface for complex tasks.

Key capabilities

  • Message Handling: Captures text, media, and document types sent by users.
  • Command Parsing: Recognizes and executes specific commands (e.g., /start, /help) to trigger agent workflows.
  • Update Management: Processes various update types including polls, inline queries, and callback data.
  • Asynchronous Support: Designed for non-blocking I/O operations suitable for high-concurrency chat environments.

Example prompts

  • "Create a Python script using python-telegram-bot that replies to any message with the current time."
  • "Set up a handler in python-telegram-bot to process /balance commands and fetch user data from an API."
  • "How do I configure python-telegram-bot to send a formatted text message with a link when a specific keyword is detected?"

Tips & gotchas

Ensure you have a valid Telegram Bot Token generated via @BotFather before initializing the library. For production deployments, always use environment variables to store sensitive tokens rather than hardcoding them in your script.