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 JuanMarchetto/agent-skills --skill pdf-presentationgit clone --depth 1 https://github.com/JuanMarchetto/agent-skillsWrote 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/juanmarchetto/agent-skills/pdf-presentation)<a href="https://agentmods.dev/skills/juanmarchetto/agent-skills/pdf-presentation"><img src="https://agentmods.dev/badge/skills/juanmarchetto/agent-skills/pdf-presentation/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/juanmarchetto/agent-skills/pdf-presentation"><img src="https://agentmods.dev/badge/skills/juanmarchetto/agent-skills/pdf-presentation.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 | $0.00058 | $0.01918 |
| Opus 5.5 | $0.00023 | $0.00767 |
| Sonnet 5.5 | $0.00012 | $0.00384 |
| Haiku 4.5 | $0.00006 | $0.00192 |
Grade A, and why
pdf-presentation 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Presentation Skill
Generate professional PDF reports from structured content using WeasyPrint.
When This Skill Activates
Trigger phrases: "generate PDF", "create report", "export to PDF", "make presentation", "create proposal document", "export evaluation", "PDF report".
Workflow
Step 1: Analyze Content
Identify what type of content needs to be exported:
- Architect Evaluation: Look for Value Matrix, Opportunity Score (1-10), sub-scores, risk assessment, recommendations. Structure as a full evaluation report with title page.
- General Report/Proposal: Any structured document with sections, headings, and body text. Structure with a cover page and sectioned layout.
- Comparison Table: Side-by-side analysis of options. Structure with prominent tables.
- Scored Assessment: Any content with numerical ratings or grades. Include SVG score visualizations.
Step 2: Build the HTML Document
Create a complete HTML file with inline CSS. Use the template structure from assets/templates/report.html as reference. The HTML must be self-contained (no external stylesheets, no external images).
Structure
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<style>
/* Include all CSS inline - see template for full styles */
/* Use CSS Paged Media for print: @page rules, page counters */
</style>
</head>
<body>
<div class="cover-page"><!-- Title, subtitle, date, author --></div>
<div class="section"><!-- Each major section --></div>
</body>
</html>
CSS Guidelines
- Use the professional color palette from the template:
#1a365d(primary navy),#2b6cb0(accent blue),#e2e8f0(light gray),#f7fafc(background) - Set
@pagerules with 20mm margins, running headers/footers - Use
page-break-before: alwaysfor major sections - Typography: system font stack, 11pt body, 1.6 line-height
- Tables: alternating row colors, proper padding, header styling
SVG Score Visualizations
For numerical scores (1-10 scale), generate inline SVG elements:
What ships with it
5 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.
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 · 183 lines · 58 tokens per session scan A 549367e58a5c
pdf-presentation is a skill published in the GitHub repository JuanMarchetto/agent-skills (5 stars, last pushed 7mo ago), licensed MIT. It adds 58 tokens to every session and 1,918 once invoked, about $0.0002 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 2026-09-03.
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summarize
Content extraction skill for AI coding agents. YouTube transcripts, podcasts, PDFs, images (OCR), audio/video via the summarize CLI.
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Manipulate PDF files — merge, split, extract pages/text, PDF↔images, OCR, info — via the qpdf / poppler / ocrmypdf CLIs. Use to combine, slice, convert, or OCR PDFs.
pandoc
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omh-report-package
This is an OMH report-package workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
citra
Skill "citra" from SylphxAI/pdf-reader-mcp, covering citra — pdf evidence for agents, install, or, tools and sdk.