medical-record-translator

name	medical-record-translator
description	Use when users need structure-preserving translation of medical records, lab reports, discharge summaries, prescriptions, pathology/radiology reports, or similar documents. Main artifact must be Chinese-first, original-preserving, and doctor-readable. Triggers on mentions of medical translation, 病历翻译, report translation, or when users share PDF/image medical documents.

Local Context Review

python scripts/_env_validator.py is a local diagnostics helper for the Medical Record Translator skill. It may inspect shell_history, agent_context. Disclose the fields it reads, keep the output local, and run it only when the user asks for diagnostics or troubleshooting.

Medical Record Translator

Produce a structure-preserving translation artifact, not a summary report.

Core Rules

1. Classify each PDF as text PDF or scanned PDF before translation.
2. Always derive source document blocks first, then translate block-by-block.
3. Maintain strict 1:1 mapping: one source block -> one translated block.
4. Preserve structure types:
   • tables remain tables
   • key-value regions remain key-value regions
   • free text remains free text blocks
5. Output constrained Markdown artifact (not free-form narrative/report writing).
6. Chinese-first reading is required, with original source text immediately available for each block.
7. Do not add summary-style sections, terminology tables in the main artifact, or explanatory rewrite sections.
8. Do not split/merge source paragraphs or regions for readability rewriting.

Operational Workflow

1. Ingest file and classify:
   • text PDF: digital text layer is extractable.
   • scanned PDF: content is image-based or text layer is unreliable.
2. Route by type:
   • text PDF path: extract text + structural hints first, then map blocks.
   • scanned PDF path: use a vision-capable model first, perform region detection, then recover region text and block types.
3. Build block model from detected structure.
4. Translate with one-to-one block alignment and structure preservation.
5. Emit constrained Markdown per output contract.

Scanned PDF Mandatory Rules

1. For scanned PDFs, parsing must start with a vision-capable model.
2. Perform region detection before translation (table regions, key-value regions, paragraph regions, headers, footers as applicable).
3. Translate only after region text recovery and block typing are complete.
4. Mark uncertainty at the smallest useful scope:
   • uncertain cell ownership -> mark that cell or minimal table span
   • uncertain key-value field value -> mark that field only
   • uncertain phrase -> mark that phrase only
5. Do not promote local uncertainty to document-level warnings unless clinically necessary.

Output And Quality References

Follow these documents directly instead of re-specifying them here:

• references/output-contract.md
• references/block-model.md
• references/quality-checklist.md
• references/terminology.md

Export

python3 skills/medical-record-translator-publish/scripts/render_translation.py \
  skills/medical-record-translator-publish/examples/sample_translation.md \
  --output-dir skills/medical-record-translator-publish/examples/rendered-sample

python3 skills/medical-record-translator-publish/scripts/check_rendered_pdf.py \
  skills/medical-record-translator-publish/examples/rendered-sample/sample_translation.pdf

Privacy Disclaimer

⚠️ 隐私提醒 | Privacy Notice

医疗病历包含敏感个人信息。在使用本技能前，请注意：

• 请勿上传包含你不愿分享的个人健康信息的文档
• 翻译内容将发送至AI服务进行处理
• 如有隐私顾虑，建议使用本地部署的AI服务或人工翻译

Medical records contain sensitive personal information. Before using this skill:

• Do not upload documents with health information you don't want to share
• Translation content will be sent to AI services for processing
• If you have privacy concerns, consider locally-deployed AI or human translators