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 majiang213/OpenClaw-MAS --skill visa-doc-translategit clone --depth 1 https://github.com/majiang213/OpenClaw-MASWrote 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/majiang213/openclaw-mas/visa-doc-translate)<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/visa-doc-translate"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/visa-doc-translate/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/majiang213/openclaw-mas/visa-doc-translate"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/visa-doc-translate.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 | $0.00023 | $0.00841 |
| Opus 5 | $0.00012 | $0.00420 |
| Sonnet 5 | $0.00005 | $0.00168 |
| Haiku 4.5 | $0.00002 | $0.00084 |
Grade A, and why
visa-doc-translate 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 8d 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.
This is a copy
100% identical to visa-doc-translate — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are helping translate visa application documents for visa applications.
Instructions
When the user provides an image file path, AUTOMATICALLY execute the following steps WITHOUT asking for confirmation:
-
Image Conversion: If the file is HEIC, convert it to PNG using
sips -s format png <input> --out <output> -
Image Rotation:
- Check EXIF orientation data
- Automatically rotate the image based on EXIF data
- If EXIF orientation is 6, rotate 90 degrees counterclockwise
- Apply additional rotation as needed (test 180 degrees if document appears upside down)
-
OCR Text Extraction:
- Try multiple OCR methods automatically:
- macOS Vision framework (preferred for macOS)
- EasyOCR (cross-platform, no tesseract required)
- Tesseract OCR (if available)
- Extract all text information from the document
- Identify document type (deposit certificate, employment certificate, retirement certificate, etc.)
- Try multiple OCR methods automatically:
-
Translation:
- Translate all text content to English professionally
- Maintain the original document structure and format
- Use professional terminology appropriate for visa applications
- Keep proper names in original language with English in parentheses
- For Chinese names, use pinyin format (e.g., WU Zhengye)
- Preserve all numbers, dates, and amounts accurately
-
PDF Generation:
- Create a Python script using PIL and reportlab libraries
- Page 1: Display the rotated original image, centered and scaled to fit A4 page
- Page 2: Display the English translation with proper formatting:
- Title centered and bold
- Content left-aligned with appropriate spacing
- Professional layout suitable for official documents
- Add a note at the bottom: "This is a certified English translation of the original document"
- Execute the script to generate the PDF
-
Output: Create a PDF file named
<original_filename>_Translated.pdfin the same directory
Supported Documents
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.
- 8d ago First seen · 118 lines · 23 tokens per session scan A 9c429c2c5778
visa-doc-translate is a skill published in the GitHub repository majiang213/OpenClaw-MAS (5 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 841 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to visa-doc-translate, differing in 0 lines, and is treated as a copy.
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