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 AgenticAIPlan/AgenticAISkills --skill batch-paper-pdf-to-markdowngit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/batch-paper-pdf-to-markdown)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/batch-paper-pdf-to-markdown"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/batch-paper-pdf-to-markdown/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/agenticaiplan/agenticaiskills/batch-paper-pdf-to-markdown"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/batch-paper-pdf-to-markdown.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 | $0.00085 | $0.01568 |
| Opus 5 | $0.00043 | $0.00784 |
| Sonnet 5 | $0.00017 | $0.00314 |
| Haiku 4.5 | $0.00009 | $0.00157 |
Grade A, and why
batch-paper-pdf-to-markdown 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 11d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
批量论文 PDF 转 Markdown
适用场景
当用户需要把一个或多个本地论文 PDF 转成可编辑 Markdown，并保留版面中的图片资源时，使用本 Skill。
适用于以下场景：
- 批量将论文导入知识库或笔记系统
- 为后续摘要、问答或标签整理做预处理
- 在保留图片引用的前提下，把 PDF 内容转成可编辑文本
- 将版面复杂、包含图片和结构化内容的学术论文先转成更适合编辑、检索和复用的中间格式
本 Skill 基于 PaddleOCR 文档解析能力完成 PDF 内容提取和图片整理，并在脚本侧补充整篇文档输出、图片资源落盘、相对路径改写、覆盖保护、超时控制和错误返回约束，减少手工摘录、手工改路径和重复整理成本。
不适用场景与边界
- 不处理远程 URL、网页、DOCX、PPT、图片文件或压缩包；用户需先提供本地
.pdf文件。 - 不做论文摘要、翻译、主题分类、引用格式解析、BibTeX 生成或文献综述。
- 不保证复刻 PDF 原版排版；目标是生成可编辑 Markdown 和可引用的本地图片资源。
- 不替用户申请、保存或提交 PaddleOCR token；密钥只能通过运行环境变量提供。
- 不在输出已存在时自动覆盖；只有用户明确允许覆盖时才使用
--force。 - 单次运行总时间上限为 300 秒；大批量论文应拆成多批处理。
输入要求
- 输入三选一：
--file-path：单个本地 PDF 文件--input-dir：包含 PDF 的本地目录，可配合--recursive--file-list：逐行列出 PDF 路径的 UTF-8 文本文件，空行和#开头的注释行会被忽略
- 当前目录应为本 Skill 目录，或命令中的
scripts/pdf_to_markdown.py路径应写成可执行的相对/绝对路径。 - 运行环境需有 Python 3、
httpx和可用的 PaddleOCR 文档解析接口。 - 已配置以下环境变量：
PADDLEOCR_DOC_PARSING_API_URLPADDLEOCR_ACCESS_TOKEN- 可选：
PADDLEOCR_DOC_PARSING_TIMEOUT
不要把 token、.env 或其他密钥文件放进 Skill 目录或仓库提交内容。
执行步骤
- 先确认输入路径存在，PDF 输出可以写回原目录，并确认是否允许覆盖已有结果。
- 如缺少依赖，先在当前 Skill 目录下执行
python -m pip install -r scripts/requirements.txt。 - 对批量任务先执行
--dry-run，确认将处理的 PDF 列表和目标输出路径。 - 根据输入类型选择正式命令：
- 单个 PDF：使用
--file-path - 目录批量：使用
--input-dir，需要包含子目录时追加--recursive - 路径清单：使用
--file-list
- 单个 PDF：使用
- 以可轮询的异步方式等待脚本完成，总超时时间不得超过 300 秒；预计超过时先拆批。
- 如果目标
paper.md或paper/已存在，只有在明确允许覆盖时才追加--force。 - 批量任务默认遇到首个错误即失败停止；如果用户明确希望尽量处理完其余 PDF，追加
--continue-on-error。 - 如果脚本非零退出，直接返回原始报错和 JSON 摘要，不要改用其他 OCR 或手工解析流程。
输出要求
- 对每个 PDF，在同目录生成一个同名 Markdown 文件，例如
paper.md - 对每个 PDF，在同目录生成一个同名图片目录，例如
paper/ - Markdown 中的图片引用应改写为相对路径，例如
paper/imgs/example.jpg - 脚本输出 JSON 摘要，单文件和批量结果都需要明确：
- Markdown 路径
- 图片目录路径
- 图片数量
- 页数
- 批量任务还需要明确总数、成功数、失败数和失败明细
- 失败时直接暴露脚本返回的错误信息，不能静默忽略
质量自查
任务完成后检查：
- JSON 摘要中的
ok、total、succeeded、failed与实际处理结果一致。 - 每条成功记录都包含
source_pdf、markdown_path、image_dir、image_count、pages。 markdown_path指向的 Markdown 文件存在且非空。image_dir指向的目录存在；如image_count > 0，目录下应有对应图片文件。- 若存在失败项，输出中必须列出失败 PDF 路径和错误原因。
What ships with it
7 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.
- 11d ago First seen · 128 lines · 85 tokens per session scan A d00a2ef8c9a8
batch-paper-pdf-to-markdown is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 85 tokens to every session and 1,568 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 2026-08-30.
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