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 Pikapika260214 · Codex Skill · ★ 467
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rw-consulting-ppt safe to install? View the security audit →
RW Consulting PPT Skills 这个仓库包含两个互相独立的 Codex Skills： ：把行业报告、会议纪要、访谈笔记和半成品 bullet，转成 的图片版咨询 PPT。 ：把单张 slide 图片、PNG/JPG 或截图转换成单页可编辑 PPTX。 两者平级放在 目录下，需要分别安装、分别触发，互不覆盖。 默认交付 PNG + ；如果少数关键页面需要后续编辑，可以再用 逐页转换。 From rough business inputs to proof-object-first consulting slides. 效果展示 下面是两个 6 页 deck 的高清 3×2 overview。点击图片可以打开原图查看细节。 示例 1：AI 陪伴玩具行业判断 从行业研究材料生成 6 页管理层判断 deck，重点展示需求成立条件、留存逻辑、玩家格局、价值链迁移、信任风险和赢家逻辑。 示例 2：AI 眼镜行业研究 从半成品行业判断生成 6 页咨询页，重点展示需求验证、入口路线分化、价格带、真实需求矩阵、Google Glass 风险桥和未来赢家能力栈。 它解决什么问题？ 很多 PPT 难做，不是因为不会排版，而是因为输入材料本身还很粗糙： 多份行业报告读完了，但还没有 synthesis。 会议纪要很长，但没有变成一组清晰的汇报页。 研究判断有了，但不知道每页应该证明什么。 大纲里全是 bullet，但缺少管理层能读懂的 和证据结构。 RW Consulting PPT Skill 的重点不是“美化 PPT”，而是把粗糙材料先变成可交付的咨询表达： text 粗糙材料 - 目标对齐 - storyline - 页面 brief - 样页确认 - PNG / image-only PPTX - 可选关键页 editable conversio
| Stars | 467 |
| Forks | 42 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 57.3779341832145/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-29 |
| Created | 2026-05-28 |
| Platforms | codex, python |
| Est. Tokens | ~16k |
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rw-consulting-ppt is Consulting deck skill with editable options for Codex. It is categorized as a Codex Skill with 467 GitHub stars.
rw-consulting-ppt is primarily written in Python.
You can find installation instructions and usage details in the rw-consulting-ppt GitHub repository at github.com/Pikapika260214/rw-consulting-ppt. The project has 467 stars and 42 forks, indicating an active community.
rw-consulting-ppt is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rw-consulting-ppt on Agent Skills Hub include nano-banana-pro-prompts-recommend-skill, skillkit, Skills-Manager. 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: