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 danielrosehill/Claude-Image-Production-Plugin --skill images-to-pdfgit clone --depth 1 https://github.com/danielrosehill/Claude-Image-Production-PluginWrote 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/danielrosehill/claude-image-production-plugin/images-to-pdf)<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/images-to-pdf"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/images-to-pdf/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/danielrosehill/claude-image-production-plugin/images-to-pdf"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/images-to-pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00119 | $0.01699 |
| Opus 5.5 | $0.00048 | $0.00680 |
| Sonnet 5.5 | $0.00024 | $0.00340 |
| Haiku 4.5 | $0.00012 | $0.00170 |
Grade A, and why
images-to-pdf 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 2mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Images → PDF
Bundle images into a PDF with predictable paper-size and layout behaviour. Built for the recurring "I need to send this batch to a printer" workflow.
When to use
- Preparing a photo set for a digital print shop (one-per-page on A4 / Letter).
- Building a proof sheet (multi-up).
- Sharing a document-style PDF (e.g. scanned receipts) without re-encoding.
- Bundling AI-generated images for client review.
Do not use this skill when:
- The user wants the PDF to also include text/markdown — that's a different workflow (typst / pandoc).
- The PDF needs OCR text layer — out of scope (run tesseract separately, then merge).
- A single image → PDF without paper-size constraints —
img2pdf <input> -o <output>.pdfis enough; no skill needed.
Inputs
- Inputs — directory, glob, or explicit file list. Required.
- Output PDF path — required.
- Paper size —
A4(default),A3,A5,Letter,Legal,Tabloid, or explicit<W>x<H><unit>(e.g.210x297mm,8.5x11in). - Mode — one of:
one-per-page(default) — one image per page, fitted to the paper with margins. Auto-rotates the page (portrait vs landscape) to match the image's aspect ratio.multi-up—2,4,6, or9images per page (--per-page N). Grid layout, each cell sized equally, image fitted within cell.as-is— native pixel dimensions become the page size (use for digital archives or when DPI metadata is authoritative).
- Margin — millimetres. Default
10mm(one-per-page),5mmper cell (multi-up),0(as-is). - Sort order —
filename(default, natural sort),exif-date(capture time from EXIF),mtime(filesystem mtime). - DPI — assumed DPI for fit calculations when source has no DPI metadata. Default
300(print-quality). - Auto-orient — default
onforone-per-page. Rotates page (not image) to match aspect — landscape image gets a landscape page. Disable with--no-auto-orient.
Procedure
- Detect tool availability:
which img2pdf— preferred path.which magick || which convert— fallback for cases img2pdf can't handle.- If neither exists, point at
install-deps.
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.
- 2mo ago First seen · 114 lines · 119 tokens per session scan A 776096088041
images-to-pdf is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (21 stars, last pushed yesterday), licensed MIT. It adds 119 tokens to every session and 1,699 once invoked, about $0.0005 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 2026-08-30.
images-to-pdf compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| images-to-pdfdanielrosehill/Claude-Image-Production-Plugin | Skill | 21 | yesterday | MIT | A | 119 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| foundry-hosted-agent-validationmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 82 | Claude Code, Codex |
| skill-doc-deliverynyldn/claude-octopus | Skill | 4.4k | yesterday | MIT | A | 29 | Claude Code |
| meta-web-to-pdf-briefingopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 45 | Claude Code, Codex |
| paper-readerhuangkiki/dailypaper-skills | Skill | 1.3k | 4d ago | Apache-2.0 | A | 135 | Claude Code, Codex |
| chat-complex-documentsvellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 90 | Claude Code, Codex |