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 shuyicc · Agent Tool · ★ 356
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MathLens safe to install? View the security audit →
MathLens 中文 | English MathLens — AI 数学教学视频制作 将一道数学题，变成一支有声有画的教学视频。 MathLens 是一个运行在 Cursor AI 中的 Agent Skill。你只需粘贴一道数学题（图片或文字），它就能自动完成从题目分析、可视化讲解、配音脚本到 Manim 动画视频的全流程制作。 演示 输入：一道数学题截图 输出：带配音的 Manim 教学动画 提示：如视频无法预览，可直接下载 output.mp4 观看。 亮点 全自动流水线：8 步工作流一气呵成，无需手动拼接工具 深入浅出：AI 以一对一家教的方式拆解题目，适合普通学情的学生 SVG 可视化讲解：自动生成带几何标注的 HTML 文档，随时预览 真人感配音：基于 edge-tts 生成自然语音，支持选择音色（默认晓晓） 画面音频精准同步： 机制让动画在读白说出关键词时精准触发 几何自校验：内置 验证坐标正确性，防止画出错误图形 Manim 动画视频：渲染输出专业级数学教学视频 核心工作流 快速开始 前置依赖 初始化项目 触发 Skill 在 Cursor 对话中，直接粘贴题目图片或描述即可： AI 会自动按 8 步工作流完成制作。 手动运行脚本 bash 生成 TTS 音频 python scripts/generatetts.py audiolist.csv ./audio --voice xiaox
| Stars | 356 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 60.4427701536319/100 |
| Last Updated | 2026-03-10 |
| Created | 2026-03-10 |
| Platforms | python |
| Est. Tokens | ~14k |
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MathLens is MathLens 是一个专注于数学题目视频讲解的 Agent Skill。你只需粘贴一道数学题（图片或文字），它就能自动完成从题目分析、可视化讲解、配音脚本到 Manim 动画视频的全流程制作。单条视频1-10 分钟，成本 0.2-1 元以内。. It is categorized as a Agent Tool with 356 GitHub stars.
MathLens is primarily written in Python.
You can find installation instructions and usage details in the MathLens GitHub repository at github.com/shuyicc/MathLens. The project has 356 stars and 19 forks, indicating an active community.
The top alternatives to MathLens on Agent Skills Hub include awesome-android-agent-skills, synalinks-skills, agent-skills. 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: