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 smartdatabrokers/slideforge-mcp --skill pdf-to-pptxgit clone --depth 1 https://github.com/smartdatabrokers/slideforge-mcpWrote 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/smartdatabrokers/slideforge-mcp/pdf-to-pptx)<a href="https://agentmods.dev/skills/smartdatabrokers/slideforge-mcp/pdf-to-pptx"><img src="https://agentmods.dev/badge/skills/smartdatabrokers/slideforge-mcp/pdf-to-pptx/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/smartdatabrokers/slideforge-mcp/pdf-to-pptx"><img src="https://agentmods.dev/badge/skills/smartdatabrokers/slideforge-mcp/pdf-to-pptx.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 | $0.00071 | $0.00891 |
| Opus 5 | $0.00036 | $0.00445 |
| Sonnet 5 | $0.00014 | $0.00178 |
| Haiku 4.5 | $0.00007 | $0.00089 |
Grade A, and why
pdf-to-pptx 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF to PPTX
Use the slideforge MCP server to convert a PDF into a fully editable PowerPoint deck. Vector extraction — each page becomes a slide where every element is independently editable.
When to trigger
Any request to convert, turn, transform, or extract a PDF into PowerPoint. Examples:
- "Convert this PDF report into an editable PowerPoint deck"
- "Turn this 40-page research paper into slides"
- "Extract the slides from this investor PDF so I can edit them"
Tools used
upload_assetwithpurpose=pdf— uploads and triggers extractionmanage_accountwithaction=job— poll for completion + download URL
Workflow
1. Upload the PDF
{
"purpose": "pdf",
"data": "<base64-encoded .pdf>",
"filename": "report.pdf"
}
Returns a job_id. Alternatively, pass a public URL if the user has one.
2. Wait for extraction
Typical speed: ~112-page deck converts end-to-end in ~18 seconds. Poll with:
{"action": "job", "job_id": "<from step 1>"}
Or include a preview inline by setting include_preview: "default" in the upload call (waits then embeds).
3. Deliver
Download via header-auth: GET /v1/jobs/<job_id>/pptx with
Authorization: Bearer sf_live_YOUR_KEY (ownership-checked). To hand off a shareable link
instead, POST /v1/jobs/<job_id>/download-url mints a short-TTL, single-use, revocable one.
The output is a real .pptx — every shape, text block, and image is individually editable in
PowerPoint.
What gets extracted cleanly
- Vector shapes (lines, rectangles, curves)
- Text with font, size, colour, alignment preserved
- Tables as PowerPoint tables
- Images embedded natively
- Page layout, positioning, z-order
Known limits
- Only PDFs exported from a slide tool (PowerPoint, Keynote, Google Slides, Canva, LaTeX Beamer, etc.) are supported today — the upload returns a 422 for anything else. Scanned, image-only, and text-document PDFs are not supported yet.
- Complex SmartArt or animations from the original source (if it came from PPTX → PDF) don't round-trip
- Very dense CAD-style PDFs may hit shape-count limits
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 · 92 lines · 71 tokens per session scan A 133f94ee4b9e
pdf-to-pptx is a skill published in the GitHub repository smartdatabrokers/slideforge-mcp (4 stars, last pushed 10d ago), licensed MIT. It adds 71 tokens to every session and 891 once invoked, about $0.0004 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 2026-08-31.
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