by xluxeq · Agent Tool · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: sudo usage. 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.
| Stars | 69 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 60/100 |
| Open Issues | 1 |
| Last Updated | 2023-03-24 |
| Created | 2019-09-30 |
| Platforms | python |
| Est. Tokens | ~14k |
GPT2-Telegram-Chatbot A GPT-2 Telegram chatbot that's been relatively tuned for chatting. Feel free to make me PRs and I'll check out your code! The bot isn't 100% accurate all the time (why I coded in a /retry function.) Since the bot consumes so much memory, I have it programmed in a round-robin sort of mode.
Looking for a GPT2-Telegram-Chatbot alternative? If you're comparing GPT2-Telegram-Chatbot with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Anthropic Claude & Google Bard Bot for Telegram.
Your Digital Companion. Self-hosted Telegram bot orchestrating multiple AI providers (OpenAI, Anthropic, Googl
Local-first multi-AI group chat desktop app — pull gpt, Claude, Gemini, DeepSeek into one conversation. Tauri
Any Agent × Any Provider × Anywhere. Connect Cursor, Claude Code, OpenCode, or Codex to Slack, Telegram, Disco
MCP Server for Telegram
A chatbot implementation compatible with MCP (terminal / streamlit supported)
Explore other popular agent tool tools:
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: