codex-ppt-skill: GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

🧪 Tested by Agent Skills Hub

One of 28 tools we ran end to end on the same task for our PPT Skills for Codex & Claude Code page (2026-10-07).

Result: Needs substantial rework · Editability L0 · nothing editable · content rubric 93% · 4.5 min

See the slides → · See the whole test →

Quick Facts

About codex-ppt-skill

Codex PPT Skill 一个面向 Codex 的 PPT 生成 skill，也可在 Claude Code、OpenClaw、Hermes Agent 等支持 的 agent 中使用；在这些非 Codex 环境中通常需要配置 或第三方 OpenAI 兼容格式的生图 API。它把文章、报告、论文、课程笔记等内容转换成“整页图片式”的演示文稿：先规划大纲和视觉风格，再生成每页幻灯片图片，最后用本地脚本组装为 。 温馨提示 这个 skill 主要给大家提供一个还不错的 PPT 生成流程。为了尽量通用，它的流程设计会稍微复杂一些；复杂也会带来不稳定性或者冗余性。比如它同时兼容 Codex 内置生图和 API/CLI fallback 生图，也会兼容有无子 agent 可用这两种情况，但大部分人日常使用时其实只会固定走其中一条路线。 建议大家在走通自己常用的路线之后，让 AI...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this