telegram-llm: A Telegram LLM bot written in Rust

by flows-network · Agent Tool · ★ 71

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

automationchatgptgpt-3gpt4telegram-bot

Quick Facts

Stars71
Forks26
LanguageRust
CategoryAgent Tool
LicenseGPL-3.0
Quality Score60/100
Open Issues3
Last Updated2025-02-24
Created2023-03-19
Platformsrust
Est. Tokens~6k

About telegram-llm

A Telegram LLM bot Try this simple bot created from this template. Deploy your Telegram bot in 3 simple steps Create a flow function Configure the flow function to access the Telegram bot Configure the flow function to access an LLM backend 0 Prerequisites You will need to sign into flows.network from your GitHub account. It is free. You also need a bot token to access the Telegram API.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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