Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Audit medical device technical files against EU MDR 2017/745 regulations.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
ID: 130
Version: 1.0.0
Description: Check whether medical device technical files contain required documents according to EU MDR (2017/745) regulations
scripts/main.py.references/ for task-specific guidance.See ## Prerequisites above for related details.
Python: 3.10+. Repository baseline for current packaged skills.dataclasses: unspecified. Declared in requirements.txt.enum: unspecified. Declared in requirements.txt.See ## Usage above for related details.
cd "20260318/scientific-skills/Academic Writing/medical-device-mdr-auditor"
python -m py_compile scripts/main.py
python scripts/main.py --help
Example run plan:
CONFIG block or documented parameters if the script uses fixed settings.python scripts/main.py with the validated inputs.See ## Workflow above for related details.
scripts/main.py.references/ contains supporting rules, prompts, or checklists.Use this command to verify that the packaged script entry point can be parsed before deeper execution.
python -m py_compile scripts/main.py
Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.
python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py -h
This Skill is used to audit the compliance of medical device technical files, checking whether documents contain necessary Clinical Evaluation Reports and Post-Market Surveillance plans according to EU MDR 2017/745 regulatory requirements.
# Check single technical file directory
python3 /Users/z04030865/.openclaw/workspace/skills/medical-device-mdr-auditor/scripts/main.py --input /path/to/technical/file --class IIa
# Batch check using JSON configuration file
python3 /Users/z04030865/.openclaw/workspace/skills/medical-device-mdr-auditor/scripts/main.py --config /path/to/config.json
# Output detailed report
python3 /Users/z04030865/.openclaw/workspace/skills/medical-device-mdr-auditor/scripts/main.py --input /path/to/technical/file --class III --verbose --output report.json
| Parameter | Type | Required | Description |
|---|---|---|---|
--input | string | Conditional | Technical file directory path |
--config | string | Conditional | JSON configuration file path |
--class | string | Yes | Device classification (I, IIa, IIb, III) |
--output | string | No | Output report path |
--verbose | flag | No | Output detailed information |
According to MDR Annex XIV Part A, must include:
According to MDR Article 83 & Annex III, must include:
According to MDR Annex XIV Part B, for Class IIa and above devices:
{
"audit_date": "2026-02-06T06:00:00Z",
"device_class": "IIa",
"compliance_status": "PARTIAL",
"findings": [
{
"category": "CRITICAL",
"regulation": "MDR Annex XIV Part A",
"item": "Clinical Evaluation Report",
"status": "MISSING",
"description": "Clinical evaluation report file not found"
},
{
"category": "MAJOR",
"regulation": "MDR Article 83",
"item": "PMS Plan",
"status": "INCOMPLETE",
"description": "PMS plan lacks trend reporting mechanism"
}
],
"summary": {
"total_checks": 12,
"passed": 8,
"warnings": 2,
"failed": 2
}
}
| Level | Description |
|---|---|
COMPLIANT | Fully compliant with MDR requirements |
PARTIAL | Partially compliant, with correctable deficiencies |
NON_COMPLIANT | Seriously non-compliant, critical documents missing |
| Code | Meaning |
|---|---|
| 0 | Audit passed, fully compliant |
| 1 | Audit passed, with warnings |
| 2 | Audit failed, with deficiencies |
| 3 | Execution error |
OpenClaw Skill Development Team
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
# Python dependencies
pip install -r requirements.txt
Every final response should make these items explicit when they are relevant:
scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.This skill accepts requests that match the documented purpose of medical-device-mdr-auditor and include enough context to complete the workflow safely.
Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:
medical-device-mdr-auditoronly handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.
Use the following fixed structure for non-trivial requests:
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.
日本語の概要は準備中です。原文の説明を表示しています。
Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate Summary_Report.md.
日本語の概要は準備中です。原文の説明を表示しています。
Generates submission-ready Elsevier/SCI Highlights from manuscript text or extracted PDF/DOCX/TXT content. Use when a user needs 3-5 concise, evidence-grounded highlight bullets for a research paper, review, meta-analysis, case report, or bioinformatics manuscript.
日本語の概要は準備中です。原文の説明を表示しています。
Generates complete FAERS pharmacovigilance study designs for multi-drug or class-level safety comparison inside one predefined SOC or AE family using active comparators, disproportionality analysis, subgroup characterization, and reviewer-facing evidence control.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
日本語の概要は準備中です。原文の説明を表示しています。