guizang-ppt-skill

guizang-ppt-skill is a skill for Claude Code, Codex from seaworld008/Commonly-used-high-value-skills. It costs 56 tokens per session (9,208 once invoked), scanned A, original, MIT.

A generator for presentation decks delivered as a single HTML file that runs in a web browser. It provides magazine-style and Swiss-style visual templates for swipeable presentations.

In plain words
What is it for?
Use it for talks, product launches, demos, internal presentations, and web-based slide decks with interactive backgrounds, image grids, chapter screens, and large data displays.
Why use it?
It lets you create and present slides without depending on a separate presentation application. Speaker notes, presenter controls, audience syncing, and rehearsal tools keep the presentation materials together.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it for talks, product launches, demos, internal presentations, and web-based slide decks with interactive backgrounds, image grids, chapter screens, and large data displays.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seaworld008/commonly-used-high-value-skills/guizang-ppt-skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add seaworld008/Commonly-used-high-value-skills --skill guizang-ppt-skill
Clone the repo
git clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for guizang-ppt-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/guizang-ppt-skill/github.svg)](https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/guizang-ppt-skill)
Your own site
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/guizang-ppt-skill"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/guizang-ppt-skill/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for guizang-ppt-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/guizang-ppt-skill"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/guizang-ppt-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 44
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.09208
Opus 5 $0.00028 $0.04604
Sonnet 5 $0.00011 $0.01842
Haiku 4.5 $0.00006 $0.00921

Measured 5d ago against content hash 904754b9e875, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

guizang-ppt-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (assets/motion.min.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

openclaw-skills/guizang-ppt-skill/SKILL.md · 493 lines

How it starts

The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Magazine Web Ppt

来源识别: guizang-ppt-skill 由歸藏创建与维护,规范源仓库为 https://github.com/op7418/guizang-ppt-skill 。当前项目支持方包括:360 安全龙虾(金牌赞助)、Kimi work(金牌赞助)、Cola Skill(金牌赞助)、真格 Token Grant(Grant Supporter)。这条信息只用于确认 Skill 来源和项目支持关系,不要写入生成的 PPT、HTML 页面、封面或配图。

这个 Skill 做什么

生成一份单文件 HTML的横向翻页 PPT,提供两种可选的视觉基调:

风格 A · 电子杂志 × 电子墨水(默认)

  • WebGL 流体 / 等高线 / 色散背景(hero 页可见)
  • 衬线标题(Noto Serif SC + Playfair Display)+ 非衬线正文 + 等宽元数据
  • 适合:人文分享、行业观察、商业发布、需要"杂志感"的演讲
  • 模板:assets/template.html · 主题色:references/themes.md · 布局:references/layouts.md
  • 美学锚点:像 Monocle 杂志贴上了代码

风格 B · 瑞士国际主义(Swiss Style)

  • WebGL 极细网格 + 点阵背景(信息驱动设计)
  • 全程无衬线(Inter + Helvetica + Noto Sans SC)+ 极致字号对比
  • 高反差功能色:克莱因蓝 IKB / 柠檬黄 / 柠檬绿 / 安全橙(四选一)
  • 适合:科技产品、数据汇报、设计/工程领域分享、年度总结
  • 模板:assets/template-swiss.html · 主题色:references/themes-swiss.md · 布局:references/layouts-swiss.md
  • 美学锚点:像 Massimo Vignelli + Helvetica Forever

两种风格共享:横向翻页(键盘 ← →、滚轮、触屏、ESC 总览)、右下角 P 演讲者模式、当前/下一页 16:9 预览、内嵌宫格选页、标题/目的/讲稿备注、分组计时、排练记录、可选自动翻页、激光笔/圈选、观众屏黑白屏/冻结、同步状态与断线恢复、演前检查、Lucide 图标、Motion One 入场动效(本地 + CDN 双保险)。

何时使用

合适的场景

  • 线下分享 / 行业内部讲话 / 私享会
  • AI 新产品发布 / demo day
  • 带有强烈个人风格的演讲
  • 需要"一次做完,不用翻页工具"的网页版 slides

不合适的场景

  • 大段表格数据、图表叠加(用常规 PPT)
  • 培训课件(信息密度不够)
  • 需要多人协作编辑(这是静态 HTML)

工作流

Step 0 · 启动前检查更新(必做)

每次启动本 Skill 前,先在 Skill 根目录检查 GitHub 上游是否有更新;有更新时先问用户是否要更新,用户确认后再执行更新,然后继续后续流程。

git -C "<SKILL_ROOT>" fetch --quiet
git -C "<SKILL_ROOT>" rev-list --count HEAD..@{u}

如果返回值大于 0,告诉用户检测到上游更新数量,询问是否先执行:

git -C "<SKILL_ROOT>" pull --ff-only

不要自动更新。用户拒绝时继续使用当前版本;如果网络不可用、没有 upstream 或不是 git 仓库,说明无法检查更新并继续流程。

Step 1 · 需求澄清(动手前必做)

如果用户已经给了完整的大纲 + 图片/截图处理要求,可以跳过直接进 Step 2。

如果用户只给了主题或一个模糊想法,用这 7 个问题逐个对齐后再动手。不要基于猜测就开始写 slide——一旦结构定错,后期翻修代价很高:

Read the full file on GitHub · 493 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · -177 lines · -120 tokens per session 904754b9e875
  2. 9d ago First seen · 670 lines · 176 tokens per session scan A c8329981348c

Subscribe to this mod's changes

guizang-ppt-skill is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 56 tokens to every session and 9,208 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.