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 fangyuanopus · Codex Skill · ★ 110
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is literature-report-ppt-builder safe to install? View the security audit →
academic-slide-minimalist 把论文和补充信息读透，再生成一套能讲清楚证据链的中文文献汇报 PPT。 English | 中文 是一个面向 Claude Code / Codex 的学术 PPT skill。它适合论文组会、journal club、课程文献汇报、硕博答辩预汇报等场景：先做 close reading、证据链梳理、真实图源清单和页面规划，再用 image-first 方式生成稳定的 16:9 PPT 页面。 它的核心原则很简单：清楚先于好看，真实先于炫酷。 效果演示 下面的页面来自仓库内置样例 ，用于展示 skill 追求的页面组织方式：真实论文图、清晰结论句、红黑灰学术风格、导航一致、证据链可讲。 这个 skill 解决什么问题 很多 AI PPT 工具能把页面做得好看，但学术汇报最容易翻车的地方不是配色，而是： 没读懂论文主线，只是按 Figure 1、Figure 2 顺序堆图； 用了“看起来像实验图”的假图或重绘图，科学内容不可信； 页面标题是主题词，不是结论句，汇报时讲不出核心观点； 结果部分全部塞进“研究结果”，老师听不出证据层次； PPT 页面单独生成，导航、页码、标题尺度和图注风格不一致； 汇报完成后缺少 backup、问答准备和可追溯的图源记录。 的目标是反过来做：先保证论文逻辑、图源和证据强度正确，再追求页面美观。 核心能力 论文到 PPT 的完整工作流 从 main paper + supplementary information 出发，按固定顺序生成汇报结构： text close reading
| Stars | 110 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.0986853182318/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-11 |
| Created | 2026-05-19 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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literature-report-ppt-builder is Open-source Codex skill for academic literature-report PPT generation. It is categorized as a Codex Skill with 110 GitHub stars.
literature-report-ppt-builder is primarily written in Python. It covers topics such as academic-presentation, codex-skill, literature-review.
You can find installation instructions and usage details in the literature-report-ppt-builder GitHub repository at github.com/fangyuanopus/literature-report-ppt-builder. The project has 110 stars and 4 forks, indicating an active community.
literature-report-ppt-builder is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to literature-report-ppt-builder on Agent Skills Hub include xiaobei-skill, medsci-skills, Mck-ppt-design-skill. 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: