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/TFboy1/academic-paper-writernpx agentmods add skills/tfboy1/academic-paper-writer/ocr_kbWrote 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/tfboy1/academic-paper-writer/ocr_kb)<a href="https://agentmods.dev/skills/tfboy1/academic-paper-writer/ocr_kb"><img src="https://agentmods.dev/badge/skills/tfboy1/academic-paper-writer/ocr_kb/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/tfboy1/academic-paper-writer/ocr_kb"><img src="https://agentmods.dev/badge/skills/tfboy1/academic-paper-writer/ocr_kb.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 | $0.00117 | $0.04606 |
| Opus 5 | $0.00059 | $0.02303 |
| Sonnet 5 | $0.00023 | $0.00921 |
| Haiku 4.5 | $0.00012 | $0.00461 |
Grade A, and why
ocr_kb 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.
How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
论文排版与整理完全工作流 (Iterative OCR & Typesetting Pipeline)
0. 目录规范 (Directory Convention)
所有中间文件和最终产物必须严格遵守以下目录结构，禁止在项目根目录下放置任何生成文件：
项目根目录/
├── resources/
│ ├── pages/ # 切分出的单页 PNG 图片
│ ├── figures/ # 从页面中裁剪出的独立科研配图（全局编号）
│ ├── md/ # 每页的 Markdown 提取结果 (page_1.md, page_2.md, ...)
│ ├── scripts/ # 所有 Python 辅助脚本（可跨任务复用，清理时不删除）
│ ├── compiled_paper.md # 最终汇总的完整 Markdown
│ ├── config.json # 任务配置（源 PDF、格式规范），整个任务期间不变
│ └── checkpoint.json # 运行时进度（当前页、计数器、失败页），随处理更新
├── outputs/
│ ├── <name>_checkpoint_p<N>.docx # 核查点中间版本
│ └── <name>_final_<date>.docx # 最终交付版本
├── ocr_kb/
│ └── SKILL.md # 本文件
└── <source>.pdf # 用户提供的原始 PDF
0.5 resources/config.json 规范 (Task Configuration)
在每次新任务启动时创建，整个任务期间不修改。续作时直接读取。所有管道共用同一 schema。
{
"source_file": "2103.10360v2.pdf",
"source_type": "pdf",
"pipeline": "A",
"format_style": "IEEE",
"template_file": null,
"total_units": 16,
"unit_type": "page",
"created_at": "2026-04-02T13:00:00+08:00"
}
| 字段 | 说明 |
|---|---|
source_file |
用户指定的源文件名（PDF / DOC / DOCX / MD） |
source_type |
文件类型："pdf" / "doc" / "docx" / "md" |
pipeline |
管道类型："A"（OCR）/ "B"（重排版）/ "C"（MD 直转） |
format_style |
排版格式（IEEE / APA / 用户自定义 / ...） |
template_file |
用户提供的 .docx 模板路径，无则 null |
total_units |
总处理单元数（Pipeline A = 页数，Pipeline B/C = 章节数） |
unit_type |
进度单位："page"（Pipeline A）/ "section"（Pipeline B/C） |
created_at |
任务创建时间 |
[!NOTE] Pipeline A 固定使用
source_type: "pdf",pipeline: "A",unit_type: "page"。
0.6 resources/checkpoint.json 规范 (Runtime Checkpoint)
在每完成一个单元（页或章节）的提取 + DOCX 追加后更新。**这是断点恢复的唯一依据。**所有管道共用同一 schema。
{
"current_unit": 7,
"unit_type": "page",
"last_verified_unit": 6,
"total_units": 16,
"docx_path": "outputs/GLM_checkpoint_p6.docx",
"global_figure_count": 4,
"global_table_count": 2,
"global_equation_count": 15,
"needs_review": [3],
"completed_units": [1, 2, 3, 4, 5, 6],
"status": "suspended"
}
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 · 351 lines · 117 tokens per session scan A 017f5e850e77
ocr_kb is a skill published in the GitHub repository TFboy1/academic-paper-writer (249 stars, last pushed 2mo ago), licensed MIT. It adds 117 tokens to every session and 4,606 once invoked, about $0.0006 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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