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 vibe-motion · Agent Tool · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
简体中文 | English 安装 提示:这是一个交互式安装脚本。用空格选择要安装的 skills,建议全部安装;另外别忘了选择对应的智能体(例如 Claude Code),不同智能体的 skill 存放路径不同。 可用技能 ruler-progress-render 生成尺子进度动画。触发关键词:尺子进度动画;可配置文字和进度等参数。 claude-typer 把提示词文本转换为 Claude Code CLI 风格的打字动画演示。 fisheye-motion 制作屏摄风格的鱼眼畸变效果:桶形畸变 + 摩尔纹 + 暗角,可对任意图片做「推镜聚焦 + 黄色标注滑入」的 Remotion 视频。Skill 指引 clone fisheye-motion 项目并按需改参数渲染。 procedural-fish-render 生成循环游动的 procedural fish 动画。 pixel2motion 将 PNG/JPG/WebP/截图里的 logo 转成平滑、低复杂度、可动效化的 SVG,再生成品牌 logo motion、交互式 HTML 展示、GIF/视频预览和运动 QA 证据。适用于 logo animation、SVG logo reveal、品牌动效交付和像素图到矢量动效的工作流。 brand-launch-video-star 从公司官网、官方品牌资料或用户上传的产品图出发,制作 15–30 秒、快节奏、强视觉、丝滑的品牌与产品宣传视频。Skill 会先核验 logo、字体、颜色、图片与产品信息,再设计叙事、逐帧时间线和真实产品演示;默认英文、16:9、15 秒,也支持用户自定义时长和画幅。 适合 AI/SaaS 发布片、官网动效视频、消费品牌广告、实体产品宣传、服务与公司理念片。重点不是
| Stars | 1,246 |
| Forks | 79 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 54.3053585899689/100 |
| Last Updated | 2026-09-04 |
| Created | 2026-03-17 |
| Platforms | python |
| Est. Tokens | ~14k |
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skills is agent skills for vibe motion. It is categorized as a Agent Tool with 1.2k GitHub stars.
skills is primarily written in Python. It covers topics such as agent, skills, vibe-coding.
You can find installation instructions and usage details in the skills GitHub repository at github.com/vibe-motion/skills. The project has 1.2k stars and 79 forks, indicating an active community.
The top alternatives to skills on Agent Skills Hub include agentsys, cipher, FireRed-OpenStoryline. 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: