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 joonlab/joonlab-claudecode-setting-for-share --skill pdf-resizergit clone --depth 1 https://github.com/joonlab/joonlab-claudecode-setting-for-shareWrote 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/joonlab/joonlab-claudecode-setting-for-share/pdf-resizer)<a href="https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/pdf-resizer"><img src="https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/pdf-resizer/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/joonlab/joonlab-claudecode-setting-for-share/pdf-resizer"><img src="https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/pdf-resizer.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 | $0.00064 | $0.02271 |
| Opus 5 | $0.00032 | $0.01136 |
| Sonnet 5 | $0.00013 | $0.00454 |
| Haiku 4.5 | $0.00006 | $0.00227 |
Grade A, and why
pdf-resizer 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 — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Resizer
Overview
This skill provides intelligent PDF resizing capabilities using advanced content detection algorithms. It automatically crops scanned PDFs to remove borders and noise, resizes content to target dimensions while maintaining aspect ratio, applies natural margins for readability, and compresses output files for optimal file size.
The skill uses a Dual-Masking Strategy that separately detects text and horizontal lines to ensure no content is lost during the cropping process, making it particularly effective for educational materials like exam papers and worksheets.
When to Use This Skill
Use this skill when:
- Resizing scanned PDF documents (exams, worksheets, textbooks) to standardized dimensions
- Processing multiple PDF files with consistent sizing requirements
- Optimizing PDF file sizes while maintaining visual quality
- Debugging content detection issues with visualization tools
- Converting irregularly-sized scans to uniform page sizes
Common user requests include:
- "Resize this PDF to [dimensions]"
- "Process all PDFs in this folder with the same settings"
- "Show me what content areas are being detected"
- "Optimize these exam papers for distribution"
Quick Start
Default Configuration
The skill operates with these default settings:
- Target size: 773.76 x 1119.6 points (standard exam paper size)
- DPI: 300 (high quality for text/formulas)
- Natural margin: 5% of canvas size (automatic scaling)
- Compression: Ghostscript /ebook preset (~70% size reduction)
These settings can be modified in the script configuration section.
Basic Workflow
For single PDF:
- Run
resize_pdf.pyon the input PDF - Optionally compress with Ghostscript or use the built-in compression
For batch processing:
- Configure input/output directories in
batch_process.py - Run batch processing script
- Monitor progress as files are processed sequentially
Single File Processing
Standard Resize
To resize a single PDF file:
What ships with it
4 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.
- 9d ago First seen · 343 lines · 64 tokens per session scan A 59fa9e4df3ed
pdf-resizer is a skill published in the GitHub repository joonlab/joonlab-claudecode-setting-for-share (10 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 2,271 once invoked, about $0.0003 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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