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 thePlannerIvan · AI Tool · ★ 233
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is planners-ppt-hell safe to install? View the security audit →
Planner’s PPT Hell v5 主 Agent 将源材料整理成轻量底稿，直接设计可编辑 SVG、渲染并看图调整，整套人工审阅后导出 PPTX。 入口见 SKILL.md。依赖见 scripts/requirements.txt；Python 还需 Playwright Chromium。没有模板时自主选择视觉；严格品牌复用和模板提取按需启用。 v5 不使用独立 Layout 审阅、强制子 Agent 或三页批次门禁。旧项目需用已归档的旧版本完成，不能直接混用新状态机。 运行 验证。工程验证不替代真实用户的视觉与内容验收。 由阿祖不看 TVC 创建与维护 · https://demyth.info · Lawyif@163.com。授权和归属详见 LICENSE、NOTICE、TRADEMARK.md。
| Stars | 233 |
| Forks | 23 |
| Language | Python |
| Category | AI Tool |
| License | AGPL-3.0 |
| Quality Score | 33.9075947134012/100 |
| Last Updated | 2026-09-29 |
| Created | 2026-06-26 |
| Platforms | python |
| Est. Tokens | ~13k |
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planners-ppt-hell is A PPT Skill for Planners.. It is categorized as a AI Tool with 233 GitHub stars.
planners-ppt-hell is primarily written in Python.
You can find installation instructions and usage details in the planners-ppt-hell GitHub repository at github.com/thePlannerIvan/planners-ppt-hell. The project has 233 stars and 23 forks, indicating an active community.
planners-ppt-hell is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to planners-ppt-hell on Agent Skills Hub include pivotnacci, MedgeClaw, SciToolAgent. 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: