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 →
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🔒 Is ppt-agent-workflow-san safe to install? View the security audit →
PPT / bento Workflow Monorepo 这个仓库现在包含三个相关项目： ：用于生成 PPT 内容规划，以及导出 HTML 或 PNG 预览 ：将结构化 HTML slide 转换为可编辑 PPTX 的工具 ：让 agent 将现有 HTML/CSS/JavaScript 演示迁移为可编辑、单文件的 文档 目录结构 推荐使用流程 先使用 生成页面内容，并导出 HTML 或 PNG 预览。 先检查预览效果，确认版式、层级和内容表达没有问题。 根据最终交付格式选择转换路径： 需要 PowerPoint 文件：使用 ，生成可编辑 。 需要单文件演示文档：安装并使用 ，由 agent 重建为可编辑 。 如果 HTML 结构不匹配已有 preset，先为 增加对应 preset，再执行 PPTX 转换。bento 路径不依赖固定 preset，而是由 agent 分析源文件和实际渲染结果后逐对象迁移。 流程预览 先用 ppt-workflow 产出 HTML 或 PNG 预览 再用 html-slide-to-pptx skill 转成可编辑 PPT 子项目说明 ppt-workflow 用于沉淀 PPT 调研结果、页面效果图和相关参考资料，并作为 HTML / PNG 预览生成阶段。 html-slide-to-pptx 用于把结构化 HTML slide 转换为原生可编辑的 PowerPoint（.pptx）文件。 html-to-bento-slides 一个以 agent 工作流为核心的 skill，而不是固定转换脚本。安装后，agent 会同时检查源 HTML/CSS/JavaScript 和浏览器中的实际演示效果，并把内容映射为原生 bento 文字、形状、图片、SVG、表格、图表和媒体元素。 它会： 默认忠实保留原演示的内容、顺序、视觉风格和交互语义，而不是擅自重新设计 识别分步出现、点击状态、hover、canvas、iframe、字体和本地/远程资源 按对象选择原生重建、混合重建或必要的栅格化 明确报告近似和无法保留的内容，避免静默丢失 使用 bento 的 、 和逐页视觉检查完成验收 安装到 Codex： 安装到 Claude Code： bash cp -R html-
| Stars | 643 |
| Forks | 67 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 50.6010987822339/100 |
| Last Updated | 2026-09-02 |
| Created | 2026-03-19 |
| Platforms | node |
| Est. Tokens | ~13k |
These tools work well together with ppt-agent-workflow-san for enhanced workflows:
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ppt-agent-workflow-san is 渐进交互式ppt生成skill. It is categorized as a AI Tool with 643 GitHub stars.
ppt-agent-workflow-san is primarily written in JavaScript.
You can find installation instructions and usage details in the ppt-agent-workflow-san GitHub repository at github.com/mucsbr/ppt-agent-workflow-san. The project has 643 stars and 67 forks, indicating an active community.
The top alternatives to ppt-agent-workflow-san on Agent Skills Hub include claudekit-skills, EDRSilencer, perf-map-agent. 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: