Telegram Vless Pipeline

    1

    Automated pipeline to scrape, filter, score, and deliver high-quality VLESS proxies via Telegram bot.

    Free

    13 uses5.0 (1 review)

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    telegram-vless-pipeline

    Example session with this skill installed

    Set up a pipeline on my Ubuntu server to scrape VLESS keys from Telegram and send 3 fresh ones to my bot every 4 hours.

    • Read your context and instructions
    • Compiled the telegram-vless-pipeline

    Fresh VLESS keys at 12:10:

    1. vless://uuid@host:443?security=reality&sni=google.com&fp=chrome&type=grpc&serviceName=grpc#Reality-UK
    2. vless://uuid@8.8.8.8:2053?security=tls&sni=example.com#TLS-DE
    3. vless://uuid@host:443?path=%2F&security=tls&type=ws#WS-US

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Automated VLESS Proxy Intelligence

    Stop manually hunting for VPN keys. This skill deploys a production-grade pipeline on your Linux server that scrapes, filters, and delivers fresh VLESS proxy configurations directly to your Telegram chat on a schedule.

    What it does

    • Automated Scraping: Monitors 18+ types of proxy sources across specified Telegram channels.
    • Smart Filtering: Specifically extracts vless:// links, discarding noise and irrelevant protocols.
    • Quality Scoring: Implements a Python-based scoring engine that prioritizes REALITY and TLS configs while penalizing known spam and dead hosts.
    • Scheduled Delivery: Uses cron jobs to refresh the proxy pool every 4 hours and push top-tier keys to your bot.
    • Deduplication: Ensures you receive keys from unique hosts rather than multiple links to the same server.

    Why use this skill?

    While you could try to prompt an AI to write a scraper, this skill provides a battle-tested architecture. It handles the "gotchas" of automated terminal interaction—like feeding non-interactive inputs to Python scripts via printf and managing virtual environments to avoid externally-managed-environment errors. It also includes an advanced scoring logic that sifts through thousands of keys to find the high-performance ones.

    Output

    The result is a fully configured environment on your server including a pool file (vless_pool.txt), automated shell scripts, and a Telegram bot that messages you formatted, clickable VLESS links ready for import into Hiddify or V2RayNG.

    • Scrapes public channels; keys may be unstable or blocked in some regions.
    • High-volume scraping may trigger Telegram rate limits without residential proxies.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

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    This skill has been used 13 times.

    Trust & safety

    Security scan

    Security scan passed 5 months ago

    • Free with an Agensi account

    Requires

    Telegram
    Python

    Permissions

    Terminal / Shell
    Network Access

    Allowed Hosts

    api.telegram.org
    Listed5 months ago

    What's inside

    Frequently Asked Questions

    This skill automates the discovery of high-quality VLESS proxies, saving you from manual hunting. It solves the issue of dead or slow links by using a scoring engine that filters for REALITY and TLS configurations before delivering them to your Telegram bot.

    You will need a Linux-based server (Ubuntu/Debian recommended) with Python installed and a Telegram Bot API token. The skill includes automated setup scripts to handle environment configuration and dependency management for you.

    The package includes the core scraping engine, Python scoring logic, automated shell scripts for scheduling, and the Telegram integration module. You also get a step-by-step deployment guide to set up the 4-hour refresh cycle.

    This skill is designed as a standalone automation pipeline for Linux environments but can be integrated into AI agent workflows via API or CLI commands. It handles complex terminal interactions and virtual environments that standard AI prompts often fail to manage.

    The scoring engine is pre-configured to prioritize unique hosts and high-performance protocols like REALITY. It applies automatic deduplication and removes known spam links, ensuring that only the most reliable and unique keys reach your Telegram feed.

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