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 nexus-research-lab/nexus --skill pdfgit clone --depth 1 https://github.com/nexus-research-lab/nexusWrote 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/nexus-research-lab/nexus/pdf)<a href="https://agentmods.dev/skills/nexus-research-lab/nexus/pdf"><img src="https://agentmods.dev/badge/skills/nexus-research-lab/nexus/pdf/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/nexus-research-lab/nexus/pdf"><img src="https://agentmods.dev/badge/skills/nexus-research-lab/nexus/pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00085 | $0.00882 |
| Opus 5.5 | $0.00034 | $0.00353 |
| Sonnet 5.5 | $0.00017 | $0.00176 |
| Haiku 4.5 | $0.00009 | $0.00088 |
Grade A, and why
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 1mo 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 文档
| 任务 | 路径 |
|---|---|
| 阅读、问答、视觉审阅 | 优先用运行时 Read 读取相关页面 |
| 提取表格或复杂布局 | 用 pdfplumber，并对照原页面 |
| 合并、拆分、旋转、裁剪、元数据、水印 | 用 pypdf |
| 新建 PDF | 用 ReportLab；长文档优先使用 Platypus 流式排版 |
| 填写 AcroForm | 用 pypdf，同时校验字段树与页面 Widget |
| 扫描件 | 先看页面图像；只有用户需要可搜索文本时才做 OCR |
工作契约
- 只读问题不改写或重新导出 PDF。
- 写操作保留原文件并输出新文件；已签名 PDF 默认只读，写入前说明签名会失效。
- 先直接使用当前环境。依赖导入失败且任务需要时，取得用户同意后在隔离环境安装
${CLAUDE_SKILL_DIR}/requirements.txt，不要静默修改系统 Python。
读取
- 长文件只读取与问题相关的页面，但答案必须保留页码依据。
- 文本抽取不能证明版式、图表、签名或扫描内容；这些信息必须查看页面。
- 表格抽取后核对表头、跨页行、脚注和合并单元格，不能只相信二维数组。
- 加密、损坏或无法可靠 OCR 的文件要明确说明，不猜内容。
创建与编辑
- 新建前确定纸张、用途和阅读场景；中文和其他非拉丁文字注册真实可用字体，避免缺字方块。
- 可见内容使用明确的页边距、层级和分页；表格重复表头并避免行被裁断。
- PDF 适合页面级编辑，不适合可靠重排既有正文。正文大改时请求源 DOCX/PPTX 或重建新 PDF。
- 表单默认保持可交互。更新后核对
get_fields()中的值、每页/Widget的有效值和/AP外观； 只有用户明确要求静态成品时才扁平化，并确认 Widget 与 AcroForm 字段树均已移除。
完成条件
- 用
pypdf重新打开最终文件，确认页数、加密状态、页面顺序和表单结构符合任务。 - 用 Poppler 渲染全部页面并逐页检查：
pdftoppm -png -r 144 "<output.pdf>" "<empty-qa-dir>/page"
- 修复截字、重叠、乱码、黑方块、模糊图片、错误页码、断裂表格和意外空白页后重新渲染。
- 缺少
pdftoppm时可以继续纯文本读取；写任务要说明未完成视觉检查。 - 最终只交付 PDF，不附带页面 PNG、构建脚本或临时叠加文件。
What ships with it
1 file 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.
- 1mo ago First seen · 66 lines · 85 tokens per session scan A 52ece092950d
pdf is a skill published in the GitHub repository nexus-research-lab/nexus (154 stars, last pushed yesterday), licensed Apache-2.0. It adds 85 tokens to every session and 882 once invoked, about $0.0003 per session on Opus 5.5. 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.
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