by uerax · Agent Tool · ★ 186
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 | 186 |
| Forks | 49 |
| Language | Go |
| Category | Agent Tool |
| Quality Score | 65/100 |
| Last Updated | 2026-09-17 |
| Created | 2023-03-28 |
| Platforms | docker, go |
| Est. Tokens | ~17k |
all-in-one-bot (lite) 轻量级、高性能的多功能 Telegram 机器人,基于 Go 语言()与模块化 / 架构重构。内置多源加密货币行情引擎(GeckoTerminal DEX + CoinGecko CEX)、Crocodile 鳄鱼量能突增监控、Polymarket 预测市场查询、RSS 社区监测及实用工具箱。 💡 项目重构背景与设计初衷 随着原版本功能的不断叠加,代码库逐渐过载臃肿,且大量第三方外部 API 接口因失效或结构变更导致维护成本极高。为了给用户提供更加稳定、极速、低资源占用且易于维护扩展的 Telegram 机器人体验,我们新建了 分支进行全面架构升级: - ⚡ 精简与精炼:剥离冗余沉淀代码,精选并移植原版本中最实用、高频且稳定的核心功能。 - 🧩 现代化架构:引入模块化的 注册路由与 多源解耦接口,彻底告别单体复杂逻辑,具备极强的扩展性。 -...
Looking for a all-in-one-bot alternative? If you're comparing all-in-one-bot 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.
MCP Server for Telegram
Anthropic Claude & Google Bard Bot for Telegram.
Free crypto news API - real-time aggregator for Bitcoin, Ethereum, DeFi, Solana & altcoins. No API key require
Proof-of-Antiquity blockchain — vintage PowerPC hardware earns 2.5x mining rewards. Hardware fingerprinting, S
Shell and coding agent on mcp clients
Agentify Desktop lets Codex/Claude/OpenCode control your logged-in ChatGPT, Claude, AiStudio, Gemini, Grok, P
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: