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 xyva-yuangui/XyvaClaw --skill pdf-generatorgit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote 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/xyva-yuangui/xyvaclaw/pdf-generator)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/pdf-generator"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/pdf-generator/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/xyva-yuangui/xyvaclaw/pdf-generator"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/pdf-generator.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 | $0.00022 | $0.00423 |
| Opus 5 | $0.00011 | $0.00211 |
| Sonnet 5 | $0.00004 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
pdf-generator 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.
What it actually says
PDF Generator
从Markdown/HTML/文本生成专业排版PDF。触发后先确认内容和格式。
Usage
# 从Markdown文件生成
uv run {baseDir}/scripts/generate_pdf.py --input report.md --output report.pdf
# 从文本直接生成
uv run {baseDir}/scripts/generate_pdf.py --text "报告内容..." --output report.pdf --title "标题"
# 使用报告模板
uv run {baseDir}/scripts/generate_pdf.py --template report --data '{"title":"月度分析","sections":[{"title":"概述","content":"<p>...</p>"}]}' --output report.pdf
# 列出模板
uv run {baseDir}/scripts/generate_pdf.py --list-templates
内置模板
| 模板 | 用途 |
|---|---|
| report | 分析报告(封面+摘要+指标+分节) |
依赖
macOS: brew install pango + pip3 install weasyprint jinja2 markdown
Workflow
- 执行 generate_pdf.py
- 解析输出中
MEDIA:行获取文件路径 - 向用户展示生成结果
Notes
- 支持中文排版(PingFang SC / Noto Sans CJK)
- A4页面，自动分页，页码
- 模板使用Jinja2语法
What ships with it
15 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.
- _meta.json 192 B
- scripts/generate_pdf_fixed.py 4.8 KB runs code
- scripts/generate_pdf.py 4.8 KB runs code
- scripts/generate_pdf.py.backup 5.9 KB
- scripts/health_check.py 1.1 KB runs code
- scripts/md_to_pdf.py 4.5 KB runs code
- templates/base.css 1.8 KB
- templates/report.html 2.6 KB
- 测试-简单中文.pdf 153 KB
- 测试文件.md 592 B
- 测试修复.pdf 570 KB
- 丑穷女孩陈浪浪-最终版.pdf 541 KB
- 丑穷女孩陈浪浪-修复版.pdf 541 KB
- 丑穷女孩陈浪浪-强制字体.pdf 541 KB
- 丑穷女孩陈浪浪-纯净版.pdf 541 KB
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 · 59 lines · 22 tokens per session scan A 0f8433cf2cdb
pdf-generator is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 423 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
nano-pdf
Edit PDF slides and pages using natural language with Gemini AI. Supports editing existing pages, adding new slides, and style-matching. Requires GEMINIAPIKEY.
pdf-toolkit
A command-line toolkit for working with local PDF files, which are fixed-layout documents. It can merge files, split or extract pages, read text, and show page information using available tools or Python’s pypdf library.
youdaonote
A command-line skill for managing Youdao Cloud Notes, a Chinese note-taking service. It supports notes, to-do items, saved web pages, searches, and folders.
pdf_convert
Convert between PDF and image formats. Use when: user asks to convert PDF pages to images (PNG/JPEG) or combine images into a PDF. NOT for: text extraction (use pdfreader), PDF editing, or document format conversion (DOCX/HTML).
pdf_merge
Merge multiple PDF files into a single PDF. Use when: user asks to combine, join, or concatenate PDFs. Supports page selection and ordering. NOT for: splitting PDFs, editing content, or converting formats.