No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by geekjourneyx · Agent Tool · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is trending-skills safe to install? View the security audit →
Skills Trending Daily 自动追踪 skills.sh 技能排行榜，AI 智能分析，每日趋势报告邮件 目录 项目简介 功能特性 系统架构 快速开始 配置说明 使用方法 GitHub Actions 数据模型 开发指南 常见问题 项目简介 Skills Trending Daily 是一个自动化技能趋势追踪系统。它每天从 skills.sh/trending 获取最新的技能排行榜，使用 Claude AI 对热门技能进行智能分析和分类，计算排名变化趋势，并通过 Resend 发送专业的 HTML 邮件报告。 为什么需要这个项目？ 开发者视角 - 快速了解哪些技能值得学习 趋势洞察 - 捕捉新兴技术框架和工具的崛起 智能总结 - AI 帮你理解每个技能解决什么问题 自动化 - 无需手动查看网站，每天自动推送 功能特性 核心功能 邮件报告内容 系统架构 ┌─────────────────────────────────────────────────────────────────┐ │ Skills Trending 系统架构 │ └───
| Stars | 65 |
| Forks | 30 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 64.0126810502136/100 |
| Last Updated | 2026-01-24 |
| Created | 2026-01-23 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~6k |
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trending-skills is 自动追踪 skills.sh 技能排行榜，AI 智能分析，每日趋势报告邮件. It is categorized as a Agent Tool with 65 GitHub stars.
trending-skills is primarily written in Python. It covers topics such as ai, automation, claude.
You can find installation instructions and usage details in the trending-skills GitHub repository at github.com/geekjourneyx/trending-skills. The project has 65 stars and 30 forks, indicating an active community.
The top alternatives to trending-skills on Agent Skills Hub include AICodeBot, playwright-bot-bypass, decodo-openclaw-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: