Agent Skills

Medical Case Report Generator

AIPOCH

Generates a patient-friendly medical case report tweet from case images and disease name. Use when the user provides a medical case image and wants a structured report or tweet.

2
0
FILES
medical-case-report-generator/
skill.md
scripts
validate_skill.py
90100Total Score
View Evaluation Report
Core Capability
83 / 100
Functional Suitability
11 / 12
Reliability
10 / 12
Performance & Context
8 / 8
Agent Usability
13 / 16
Human Usability
7 / 8
Security
9 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
99Generates a patient-friendly medical case report tweet from case images and disease name
4/4
95Patient Info Extraction
4/4
93Patient Info Extraction
4/4
93Packaged executable path(s): scripts/validate_skill.py
4/4
93Patient Info Extraction
4/4

SKILL.md

When to Use

  • Use this skill when the request matches its documented task boundary.
  • Use it when the user can provide the required inputs and expects a structured deliverable.
  • Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

  • Scope-focused workflow aligned to: Generates a patient-friendly medical case report tweet from case images and disease name. Use when the user provides a medical case image and wants a structured report or tweet.
  • Packaged executable path(s): scripts/validate_skill.py.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

cd "20260316/scientific-skills/Others/medical-case-report-generator"
python -m py_compile scripts/validate_skill.py
python scripts/validate_skill.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/validate_skill.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/validate_skill.py.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Validation Shortcut

Run this minimal command first to verify the supported execution path:

python scripts/validate_skill.py --help

Medical Case Report Generator

Workflow

Follow these steps to generate the report.

1. Image Text Extraction

Input: case image Action: Extract printed and handwritten medical text from the image with high accuracy. Focus on medical terminology, numbers, and units. Perform image enhancement, correction, and validation.

Output: extracted medical text


2. Patient Info Extraction

Input: extracted medical text Action: Extract and anonymize patient information and examination results.

Include:

  • Age
  • Gender
  • Occupation (if available)
  • Chief complaint
  • Medical history
  • Examination types
  • Examination results
  • Final confirmed diagnosis

Rules:

  • Remove personal identifiers
  • Do not infer missing data
  • Merge duplicate tests
  • Mark abnormal values
  • Extract only the main diagnosis of this visit

Output format:


## Case Summary
...

## Examination Results
...

Final diagnosis: ...

3. Disease Content Generation

Input: disease name Action: Generate three sections.

Disease Introduction

Include:

  • Simple definition
  • Core symptoms (≤5)
  • Health risks
  • Risk factors (modifiable / non-modifiable)
  • Early warning signs

Treatment Options

Include:

  • Guideline-based treatment strategies

  • Classified by disease stage or severity

  • For each method include:

    • Method name
    • Example therapies
    • Applicable patients
    • Key notes (effectiveness, duration, cost)
  • Side effects and precautions

  • Optional complementary therapies


Health Reminders

Include:

  • Core management principle

  • Daily advice:

    • Diet
    • Exercise
    • Sleep
    • Mental health
  • Monitoring indicators

  • Emergency warning signs


4. Encouragement Message

Generate 1-2 sentences of professional encouragement based on disease type.

Rules:

  • Acute disease → emphasize medical progress and teamwork
  • Chronic disease → emphasize long-term management and adaptation
  • Warm but professional tone
  • Group-oriented language
  • End with exclamation mark

5. Title Generation

Generate 3 candidate titles.

Rules:

  • Start with prefix: 【Case Report】
  • 18-25 characters
  • Include disease feature + patient group + awareness element
  • No exaggeration or privacy exposure

6. Final Output Compilation

Combine all generated sections into a single Markdown report.

Structure:


## Title Options
...

## Case Summary
...

## Examination Results
...

## Disease Introduction
...

## Treatment Options
...

## Health Reminders
...

## Encouragement
...

Notes for Integration

This skill is designed for:

  • opencode skill pipelines
  • medical social media automation
  • research-support system case summarization modules

When Not to Use

  • Do not use this skill when the required source data, identifiers, files, or credentials are missing.
  • Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
  • Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

Required Inputs

  • A clearly specified task goal aligned with the documented scope.
  • All required files, identifiers, parameters, or environment variables before execution.
  • Any domain constraints, formatting requirements, and expected output destination if applicable.

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as medical_case_report_generator_result.md unless the skill documentation defines a better convention.
  • Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

Validation and Safety Rules

  • Validate required inputs before execution and stop early when mandatory fields or files are missing.
  • Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
  • Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
  • Keep the output safe, reproducible, and within the documented scope at all times.

Failure Handling

  • If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
  • If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
  • If partial output is returned, label it clearly and identify which checks could not be completed.

Quick Validation

Run this minimal verification path before full execution when possible:

No local script validation step is required for this skill.

Expected output format:

Result file: medical_case_report_generator_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any

Deterministic Output Rules

  • Use the same section order for every supported request of this skill.
  • Keep output field names stable and do not rename documented keys across examples.
  • If a value is unavailable, emit an explicit placeholder instead of omitting the field.

Completion Checklist

  • Confirm all required inputs were present and valid.
  • Confirm the supported execution path completed without unresolved errors.
  • Confirm the final deliverable matches the documented format exactly.
  • Confirm assumptions, limitations, and warnings are surfaced explicitly.