Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/xyva-yuangui/XyvaClawnpx agentmods add skills/xyva-yuangui/xyvaclaw/pdf-processorWrote 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-processor)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/pdf-processor"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/pdf-processor/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-processor"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/pdf-processor.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 | $0.00045 | $0.00468 |
| Opus 5 | $0.00023 | $0.00234 |
| Sonnet 5 | $0.00009 | $0.00094 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
pdf-processor 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 10d 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 Processor
PDF 文档处理工具。
功能
- 提取文本 — 从 PDF 中提取全部或指定页的纯文本
- 提取表格 — 从 PDF 中提取表格为 CSV/JSON
- 合并 PDF — 将多个 PDF 合并为一个
- 拆分 PDF — 将 PDF 按页码范围拆分
- 元数据 — 读取 PDF 标题、作者、页数等信息
- PDF 转图片 — 将 PDF 每页转为 PNG（需要 pdf2image + poppler）
使用方式
# 健康检查
python3 scripts/check.py
# 提取文本
python3 scripts/pdf_tool.py extract-text --input doc.pdf
python3 scripts/pdf_tool.py extract-text --input doc.pdf --pages 1-5
# 提取表格
python3 scripts/pdf_tool.py extract-tables --input doc.pdf --format csv
# 合并 PDF
python3 scripts/pdf_tool.py merge --inputs a.pdf b.pdf c.pdf --output merged.pdf
# 拆分 PDF
python3 scripts/pdf_tool.py split --input doc.pdf --pages 1-3 --output part1.pdf
# 元数据
python3 scripts/pdf_tool.py info --input doc.pdf
# 转图片
python3 scripts/pdf_tool.py to-images --input doc.pdf --output-dir ./images/
输出目录
$OPENCLAW_HOME/workspace/output/pdf/
依赖
- pdfplumber (
pip3 install pdfplumber) - PyPDF2 (
pip3 install PyPDF2)
What ships with it
2 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.
- 10d ago First seen · 60 lines · 45 tokens per session scan A a40611a36ba1
pdf-processor is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 468 once invoked, about $0.0002 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
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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.