by tanishra · Agent Tool · ★ 5
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 5 |
| Forks | 0 |
| Category | Agent Tool |
| Quality Score | 57/100 |
| Last Updated | 2025-10-02 |
| Created | 2025-10-02 |
| Platforms | gemini |
| Est. Tokens | ~17k |
SmartAgent Bot is an AI-powered Telegram bot built using n8n workflows and Google Gemini models. It processes both text and voice messages, intelligently routing requests to specialized AI agents for email, calendar, stock data, growth analytics, prompt generation, or image creation. The bot logs interactions in Google Sheets,saves images to Google
Looking for a Telegram-Smart-Agent-Bot alternative? If you're comparing Telegram-Smart-Agent-Bot with other agent tool tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🪄 MCP server for programmatic creation and management of n8n workflows. Enables AI assistants to build, modif
Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway wi
Terminal agent + Prompts = ready to import n8n workflow JSON files
Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Ge
🌍 The open-source Wikipedia of AI — 2M+ apps, agents, LLMs & datasets. Updated daily with tools, tutorials &
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: