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 fabioc-aloha/Alex_Skill_Mall --skill pptx-to-mdgit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/pptx-to-md)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/pptx-to-md"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/pptx-to-md/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/fabioc-aloha/alex_skill_mall/pptx-to-md"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/pptx-to-md.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 | $0.00018 | $0.00334 |
| Opus 5 | $0.00009 | $0.00167 |
| Sonnet 5 | $0.00004 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
pptx-to-md 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 9d 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.
What it actually says
pptx-to-md
Convert PowerPoint (.pptx) to Markdown via Pandoc.
When to Use
- Extracting slide content for editing in plain text
- Migrating decks into documentation systems
- Salvaging content from legacy
.pptxfiles
What's Here
pptx-to-md.cjs — Node script that wraps Pandoc.
External Dependencies
node(≥ 16)pandoc(≥ 3.0) on PATH
Usage
node pptx-to-md.cjs deck.pptx
node pptx-to-md.cjs deck.pptx --output deck.md
node pptx-to-md.cjs deck.pptx --extract-media ./media
Output Structure
| PowerPoint | Markdown |
|---|---|
| Each slide | ## Slide N heading |
| Title placeholder | First line under heading |
| Body text / bullets | Paragraphs and lists |
| Speaker notes | Quoted block at slide end |
| Embedded images | Saved to --extract-media dir, referenced as ![]() |
Notes
- Animations, transitions, and complex layouts are lost — content survives, motion does not
- Pair with
md-to-pptxfor round-trip workflows (lossy for layouts, lossless for content) - Use
--extract-mediato keep images as separate files instead of inlining
What ships with it
1 file 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.
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.
- 9d ago First seen · 49 lines · 18 tokens per session scan A ee9f1b83b6a5
pptx-to-md is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 334 once invoked, about $0.0001 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.
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