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 agentmods add skills/yaoapp/yao/yao-ocrnpx skills add YaoApp/yao --skill yao-ocrgit clone --depth 1 https://github.com/YaoApp/yaoWrote 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/yaoapp/yao/yao-ocr)<a href="https://agentmods.dev/skills/yaoapp/yao/yao-ocr"><img src="https://agentmods.dev/badge/skills/yaoapp/yao/yao-ocr.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.01507 |
| Opus 5 | $0.00025 | $0.00754 |
| Sonnet 5 | $0.00010 | $0.00301 |
| Haiku 4.5 | $0.00005 | $0.00151 |
Grade A, and why
yao-ocr 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 yesterday.
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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- yesterday First seen · 136 lines · 50 tokens per session scan A de5a02bfe862
yao-ocr is a skill published in the GitHub repository YaoApp/yao (7,884 stars, last pushed today), with no licence file. It adds 50 tokens to every session and 1,507 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
pdf-image-text-extractor
从图片或 PDF 文档中识别并提取文字内容,支持多种图片格式和 PDF 文件,自动判断是否包含文字并保留原始格式输出结构化结果;当用户需要从图片或 PDF 提取文字、进行 OCR 识别、处理含文字的文档或转换为可编辑文本时使用.
dsh-cowork
Read and write office documents and Jupyter notebooks (xlsx, pdf, docx, pptx, ipynb) with bounded windows and stable cell/slide addresses.
dsh-paddleocr-skills-setup
Install and configure the native PaddleOCR plugin for DeepSeek Harness (DSH) from the Settings → PaddleOCR GUI. Use for OCR and image-to-text from screenshots, scans, and PDFs; Chinese/CJK text; PDF-to-Markdown; structured document parsing with tables, formulas, layout, and reading order; or DSH endpoint, credential…
paddleocr-doc-parsing
Use the native DeepSeek Harness PaddleOCR tool to parse document layout and Markdown.
paddleocr-text-recognition
Use the native DeepSeek Harness PaddleOCR tool to extract text from an image or PDF.
nutrient-document-processing
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images. Use when converting, OCRing, extracting from, redacting, signing, or filling documents via the Nutrient DWS API.