How do I install the Radgpt Radiology Reporter skill?

Run npx skillmds@latest add biotender-max/radgpt-radiology-reporter in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Radgpt Radiology Reporter skill do?

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Is Radgpt Radiology Reporter safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Radgpt Radiology Reporter?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Radgpt Radiology Reporter free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Radgpt Radiology Reporter?

BioTender-max (@biotender-max) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Radgpt Radiology Reporter by biotender-max

Name: Radgpt Radiology Reporter
Author: BioTender-max

File contents

name: radgpt-radiology-reporter description: Radiology Reporter keywords: - radiology - report-generation - patient-friendly - summarization - explanation measurable_outcome: Generate a patient-friendly explanation of a radiology report with <1% hallucination rate within 30 seconds. license: MIT metadata: author: Stanford Medicine version: "1.0.0" compatibility: - system: Python 3.9+ allowed-tools: - run_shell_command - read_file

RadGPT (Radiology Report Assistant)

An LLM-based agent designed to summarize and explain complex radiology reports for patients and clinicians.

When to Use

Patient Communication: Converting technical findings into plain language.
Clinician Review: Highlighting critical findings (e.g., "Pneumothorax detected").
Follow-up: Suggesting appropriate next steps based on findings.

Core Capabilities

Simplification: Translates "bilateral opacity" to "cloudiness in both lungs".
Entity Extraction: Identifies key anatomical structures and pathologies.
Q&A: Answers follow-up questions about the report.

Workflow

Input: Raw text of the radiology report.
Process: LLM summarizes and identifies key findings.
Output: Structured summary or conversational explanation.

Example Usage

User: "Explain this chest X-ray report to the patient."

Agent Action:

python -m radgpt.explain --report ./report.txt --target_audience patient

---name: radgpt-radiology-reporterdescription: ---name: radgpt-radiology-reporterdescription: Radiology Reporterkeywords: - radiology - report-generation - patient-friendly - summarization - explanationmeasurable_outcome: Generate a patient-friendly explanation of a radiology report with <1% hallucination rate within 30 seconds.license: MITmetadata: author: Stanford Medicine version: "1.0.0"compatibility: - system: Python 3.9+allowed-tools: - run_shell_command - read_file---# RadGPT (Radiology Report Assistant)An LLM-based agent designed to summarize and explain complex radiology reports for patients and clinicians.## When to Use* **Patient Communication**: Converting technical findings into plain language.* **Clinician Review**: Highlighting critical findings (e.g., "Pneumothorax detected").* **Follow-up**: Suggesting appropriate next steps based on findings.## Core Capabilities1. **Simplification**: Translates "bilateral opacity" to "cloudiness in both lungs".2. **Entity Extraction**: Identifies key anatomical structures and pathologies.3. **Q&A**: Answers follow-up questions about the report.## Workflow1. **Input**: Raw text of the radiology report.2. **Process**: LLM summarizes and identifies key findings.3. **Output**: Structured summary or conversational explanation.## Example Usage**User**: "Explain this chest X-ray report to the patient."**Agent Action**:```bashpython -m radgpt.explain --report ./report.txt --target_audience patient```

Frequently asked questions

Radgpt Radiology Reporter