Telegram-interactive-bot: Telegram的开源双向机器人。避免垃圾信息;让被限制的客户可以顺利联系到你;支持后台分组,算是一个简易的CRM系统

by MiHaKun · AI Tool · ★ 368

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

How to install Telegram-interactive-bot

git clone https://github.com/MiHaKun/Telegram-interactive-bot.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 58/100

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.

Quick Facts

Stars368
Forks104
LanguagePython
CategoryAI Tool
LicenseApache-2.0
Quality Score58/100
Open Issues1
Last Updated2026-02-03
Created2024-07-02
Platformspython
Est. Tokens~14k

About Telegram-interactive-bot

Telegram interactive bot (Telegram 双向机器人) 一、简介 Telegram的开源双向机器人。避免垃圾信息;让被限制的客户可以顺利联系到你。 支持后台多客服。在后台群组,可以安排多个客服以同一个机器人身份持续和客户沟通。 English 示例后台 (ps:和示例机器人说话后,去后台看看,就大概知道原理了) (ps:示例后台是公开群组,方便大家看效果而已。自己部署,最好用私有群组,安全性还是没问题的) 特色 当客户通过机器人联系客服时,所有消息将被完整转发到后台管理群组,生成一个独立的以客户信息命名子论坛,用来和其他客户区分开来。 客服在子论坛中的回复,可以直接回复给客户。 客服可以通过关闭/开启子论坛来配置是否继续和客户对话。 提供永久封禁方案。env内有开关。 提供 /clear...

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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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