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 pdf-extract-embedded-imagesgit 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/pdf-extract-embedded-images)<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/pdf-extract-embedded-images"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/pdf-extract-embedded-images/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/pdf-extract-embedded-images"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/pdf-extract-embedded-images.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 | $0.00052 | $0.00857 |
| Opus 5.5 | $0.00021 | $0.00343 |
| Sonnet 5.5 | $0.00010 | $0.00171 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade B, and why
pdf-extract-embedded-images scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
command -v pdfimages || echo "pdfimages not installed — install with: sudo apt install poppler-utils" How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extract Embedded Images from PDF
Pull out JPEG and PNG objects embedded in a PDF using pdfimages. Extracts at native resolution without rasterizing the page. Different from pdf-to-images — this recovers the original embedded image files, not a rasterized page render.
When to use
- A PDF is a container for photos (e.g., a photo book or brochure) — you want the original images, not a rasterized version.
- Bulk-extracting image assets from a multi-page document without re-encoding.
- Recovering embedded images at their full embedded resolution and quality.
Inputs to gather
- Input PDF file — path to the PDF. Required.
- Output directory — optional. Default: current directory.
Procedure
1. Check tooling
command -v pdfimages || echo "pdfimages not installed — install with: sudo apt install poppler-utils"
Abort if missing.
2. Validate PDF and inspect contents
file "<input.pdf>"
pdfimages -list "<input.pdf>"
The -list flag shows a summary of embedded images: page number, index, width, height, bits per component, color space, encoding. This helps set expectations (e.g., "3 JPEG images at 2400×3000px").
3. Extract
pdfimages -all "<input.pdf>" "<output-prefix>"
The -all flag extracts both the raw image stream (if JPEG, as .jpg; if PNG, as .png, etc.) plus any alternate-format versions.
Alternatives:
-j— extract JPEG objects only (faster if there are many PNG/PNG variants).-png— convert all images to PNG (may re-encode non-JPEG content; slower but lossy compression converted to lossless).
Recommend -all unless the user specifies otherwise.
4. Report
After extraction:
- Count of images extracted, by type (JPEG, PNG, etc.).
- Output filenames and their dimensions.
- File sizes and whether any extraction failed.
- Remind the user that embedded images may have compression applied by the PDF creator — they are not necessarily at absolute maximum quality, but they are at their native resolution.
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 · 78 lines · 52 tokens per session scan B 8ed7c14fd6c7
pdf-extract-embedded-images is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (21 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 857 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
pdf-extract-embedded-images compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pdf-extract-embedded-imagesdanielrosehill/Claude-Image-Production-Plugin | Skill | 21 | yesterday | MIT | B | 52 | 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 |