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 Biraj2004/huashu-skills-english --skill huashu-md-to-pdf-engit clone --depth 1 https://github.com/Biraj2004/huashu-skills-englishWrote 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/biraj2004/huashu-skills-english/huashu-md-to-pdf-en)<a href="https://agentmods.dev/skills/biraj2004/huashu-skills-english/huashu-md-to-pdf-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-md-to-pdf-en/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/biraj2004/huashu-skills-english/huashu-md-to-pdf-en"><img src="https://agentmods.dev/badge/skills/biraj2004/huashu-skills-english/huashu-md-to-pdf-en.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 | $0.00073 | $0.02886 |
| Opus 5 | $0.00036 | $0.01443 |
| Sonnet 5 | $0.00015 | $0.00577 |
| Haiku 4.5 | $0.00007 | $0.00289 |
Grade A, and why
huashu-md-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 12d 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 — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown to PDF Skill
Convert Markdown documents into professional Apple-design-style PDF white papers.
Core Features
- Professional typesetting: Book-quality layout with automatic handling of page breaks and widow/orphan control
- Apple design language: SF font system, modern minimalist style, professional colour palette
- Full table of contents: Automatically extracts chapter structure, dual-column layout, clickable page jumps
- Complete Markdown support: Code blocks, tables, blockquotes, lists — all rendered correctly
How to Use
Basic Usage
# Convert a single file
python scripts/convert.py input.md
# Specify output filename
python scripts/convert.py input.md -o "My White Paper.pdf"
# Custom title and author
python scripts/convert.py input.md --title "Technical White Paper" --author "Huashu"
Markdown Document Requirements
Your Markdown document should follow this structure:
# Document Title
## 1. Chapter One
### 1.1 Section One
### 1.2 Section Two
## 2. Chapter Two
### 2.1 Section One
Key rules:
- Main chapters:
## 1. Title(number + full stop + space + title) - Sub-sections:
### 1.1 Title(number.number + space + title) - This structure is required for the table of contents to generate correctly
Design Features
Cover Design
- Light grey gradient background
- Large title: 64pt, clean and modern
- Subtitle and metadata information
Table of Contents Design
- Dual-column layout, fits on one page
- Main chapters in bold, sub-sections indented
- Clickable links that jump to the corresponding section
Body Typesetting
- SF font family (Apple design language)
- Line height 1.7 for comfortable reading
- Chapters automatically start on a new page
- Widow and orphan control
Code Blocks
- Light grey background + fine border
- 8px border radius
- SF Mono monospace font
- Automatic page break prevention
Tables
- Clear grid lines
- Light grey header row
- Automatic header repeat (for tables that span multiple pages)
What ships with it
3 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.
- 12d ago First seen · 491 lines · 73 tokens per session scan A c569c01fec24
huashu-md-to-pdf is a skill published in the GitHub repository Biraj2004/huashu-skills-english (3 stars, last pushed 4mo ago), licensed MIT. It adds 73 tokens to every session and 2,886 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.
Other skills, from other repositories
Summarize document text and identify its main claims, evidence, and unanswered questions.
LaTeX工具
A tool for creating, compiling, and checking mathematical modelling papers written in LaTeX, a document system often used for technical writing.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and…
document-conversion
Use when converting between document formats. Covers HTML to Markdown, document to Markdown, PDF generation from HTML, and preserving structure through a conversion rather than losing it.
Use when working with PDF files. Covers text and table extraction, merging and splitting, form filling, watermarking, OCR for scanned documents, and generating PDFs.
tutor-setup
Transforms knowledge sources into an Obsidian StudyVault. Two modes: (1) Document Mode — PDF/text/web sources → study notes with practice questions. (2) Codebase Mode — source code project → onboarding vault for new developers. Mode is auto-detected based on project markers in CWD.