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.
npx skills add X-RayLuan/awesome-ceo-stack --skill openclaw-ppt-skillgit clone --depth 1 https://github.com/X-RayLuan/awesome-ceo-stackWrote 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.
[](https://agentmods.dev/skills/x-rayluan/awesome-ceo-stack/openclaw-ppt-skill)<a href="https://agentmods.dev/skills/x-rayluan/awesome-ceo-stack/openclaw-ppt-skill"><img src="https://agentmods.dev/badge/skills/x-rayluan/awesome-ceo-stack/openclaw-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.
<a href="https://agentmods.dev/skills/x-rayluan/awesome-ceo-stack/openclaw-ppt-skill"><img src="https://agentmods.dev/badge/skills/x-rayluan/awesome-ceo-stack/openclaw-ppt-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00161 | $0.11439 |
| Opus 5.5 | $0.00064 | $0.04576 |
| Sonnet 5.5 | $0.00032 | $0.02288 |
| Haiku 4.5 | $0.00016 | $0.01144 |
Grade A, and why
openclaw-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 1mo ago.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
46 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .github/ISSUE_TEMPLATE/bug_report.yml 1.6 KB
- .github/ISSUE_TEMPLATE/config.yml 336 B
- .github/ISSUE_TEMPLATE/feature_request.yml 1.1 KB
- .github/ISSUE_TEMPLATE/question.yml 438 B
- .github/pull_request_template.md 418 B
- .gitignore 19 B
- assets/banner.png 641 KB
- assets/motion.min.js 63 KB runs code
- assets/previews/dune.png 753 KB
- assets/previews/forest-ink.png 576 KB
- assets/previews/indigo-porcelain.png 863 KB
- assets/previews/ink-classic.png 1712 KB
- assets/previews/kraft-paper.png 460 KB
- assets/previews/style-a-editorial.png 1877 KB
- assets/previews/style-b-swiss.png 1723 KB
- assets/previews/swiss-ikb.png 540 KB
- assets/previews/swiss-lemon-green.png 192 KB
- assets/previews/swiss-lemon-yellow.png 257 KB
- assets/previews/swiss-safety-orange.png 291 KB
- assets/screenshot-backgrounds/style-a/dune.webp 157 KB
- assets/screenshot-backgrounds/style-a/forest-ink.webp 232 KB
- assets/screenshot-backgrounds/style-a/indigo-porcelain.webp 128 KB
- assets/screenshot-backgrounds/style-a/kraft-paper.webp 250 KB
- assets/screenshot-backgrounds/style-a/monocle-classic.webp 180 KB
- assets/screenshot-backgrounds/style-b/ikb-dot-gradient.webp 377 KB
- assets/screenshot-backgrounds/style-b/lemon-green-dot-shadow.webp 142 KB
- assets/screenshot-backgrounds/style-b/lemon-grid.webp 64 KB
- assets/screenshot-backgrounds/style-b/safety-orange-halftone.webp 249 KB
- assets/template-swiss.html 99 KB
- assets/template.html 38 KB
- CONTRIBUTING.md 1.9 KB
- LICENSE 34 KB
- README.en.md 19 KB
- README.md 18 KB
- references/checklist.md 30 KB
- references/components.md 15 KB
- references/image-prompts.md 12 KB
- references/layouts-swiss.md 51 KB
- references/layouts.md 28 KB
- references/screenshot-framing.md 8.1 KB
- references/swiss-layout-lock.md 5.9 KB
- references/swiss-map-component.md 13 KB
- references/themes-swiss.md 5.5 KB
- references/themes.md 3.5 KB
- scripts/validate-swiss-deck.mjs 4.8 KB runs code
- SPONSORS.md 237 B
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.
- 1mo ago First seen · 542 lines · 161 tokens per session scan A d5de1798a471
openclaw-ppt-skill is a skill published in the GitHub repository X-RayLuan/awesome-ceo-stack (10 stars, last pushed 3mo ago), with no licence file. It adds 161 tokens to every session and 11,439 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
google-workspace-ops
Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.
seedance-debugger
A troubleshooting guide for fixing common problems in Seedance 2.0 AI-generated videos, such as changing faces, unwanted text, watermarks, style changes, or broken scene transitions.
prompt-translator
A tool that rewrites an existing AI video prompt from one video model's preferred format into another model's format. It uses example prompts comparing the same kinds of scenes across different models.
happyhorse-prompter
A tool for writing short prompts for HappyHorse 1.0, an AI video generator that can create video with sound. Its prompts put the main subject first, specify the camera, and describe audible sound when needed.
kling-prompter
A prompt-writing guide for Kling 3.0, a video-generation model. It covers short videos, story-driven videos with dialogue or sound, and animating an existing reference image.
model-selector
A guide that recommends suitable AI video-generation models based on the requested scene, length, audio, language, platform, budget, and other constraints.