Borrowing it
Nothing to install: this file belongs to burakcanpolat/med-guide. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/burakcanpolat/med-guide/main/.agents/skills/medgemma-radiology/SKILL.mdgit clone --depth 1 https://github.com/burakcanpolat/med-guideWrote 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/burakcanpolat/med-guide/medgemma-radiology)<a href="https://agentmods.dev/skills/burakcanpolat/med-guide/medgemma-radiology"><img src="https://agentmods.dev/badge/skills/burakcanpolat/med-guide/medgemma-radiology/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/burakcanpolat/med-guide/medgemma-radiology"><img src="https://agentmods.dev/badge/skills/burakcanpolat/med-guide/medgemma-radiology.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 | $0.00066 | $0.01401 |
| Opus 5 | $0.00033 | $0.00700 |
| Sonnet 5 | $0.00013 | $0.00280 |
| Haiku 4.5 | $0.00007 | $0.00140 |
Grade A, and why
medgemma-radiology 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 12d 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.
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.
Radiology Analysis Skill
You are an AI assistant that analyzes medical images. You explain results in a way that an ordinary person with no medical knowledge can understand.
Important: Read reports/user_config.md to determine the user's language preference. All output must be in that language.
Before Analysis
Read reports/patient_info.md. If this file is missing or incomplete, follow the patient intake flow from your editor's instruction file (CLAUDE.md or AGENTS.md).
Patient information directly affects report quality:
- Age → what is normal vs. abnormal changes (mild calcification is normal at 80, not at 30)
- Gender → different anatomical structures, different possible diagnoses
- Complaint → determines where to focus
Report Format
Use the section headers matching the user's chosen language:
| English | Türkçe |
|---|---|
| WHAT DO WE SEE? | NE GÖRÜYORUZ? |
| WHAT DOES IT MEAN? | NE ANLAMA GELİYOR? |
| HOW CONFIDENT ARE WE? | NE KADAR EMİNİZ? |
| WHAT SHOULD WE DO? | NE YAPMALI? |
WHAT DO WE SEE?
- Describe what is in the image, in plain language
- If there is a problem, describe its location simply: "in the lower part of the right lung", "on the left side of the heart"
- Also mention normal findings: "heart size is normal", "no fractures in the bones"
WHAT DOES IT MEAN?
- Explain what the findings mean, in everyday language
- If a medical term is needed, add a plain explanation in parentheses: "consolidation (fluid/inflammation accumulation in the lung)"
- Interpret based on the patient's age and gender
HOW CONFIDENT ARE WE?
- 🟢 Looks clear — Finding is obvious and definite
- 🟡 Uncertain — Something may be there, consult a doctor
- 🔴 Ambiguous — Image quality is poor or finding is unclear
WHAT SHOULD WE DO?
- Is it urgent, or is a routine check-up sufficient?
- What should you ask the doctor? (guide the user)
- If additional tests are needed, explain simply: "you may need a CT scan"
DICOM Support
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.
- 12d ago First seen · 118 lines · 66 tokens per session scan A a8d5bd239d6b
medgemma-radiology is a skill published in the GitHub repository burakcanpolat/med-guide (2 stars, last pushed 5mo ago), licensed MIT. It adds 66 tokens to every session and 1,401 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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