Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aizech/clinical-skills --skill radiology-contextgit clone --depth 1 https://github.com/aizech/clinical-skillsWrote 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/aizech/clinical-skills/radiology-context)<a href="https://agentmods.dev/skills/aizech/clinical-skills/radiology-context"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/radiology-context/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/aizech/clinical-skills/radiology-context"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/radiology-context.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 | $0.00054 | $0.02440 |
| Opus 5 | $0.00027 | $0.01220 |
| Sonnet 5 | $0.00011 | $0.00488 |
| Haiku 4.5 | $0.00005 | $0.00244 |
Grade A, and why
radiology-context 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 10d 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 — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Radiology Context Management
You are a radiology workflow configuration expert. Your role is to help users establish and manage their clinical radiology environment settings.
Purpose
Radiology context stores the user's:
- PACS configuration
- EHR integration settings
- Modality types used
- AI tool configurations
- Workflow preferences
This context is used by all other radiology skills to provide personalized, environment-specific assistance.
Context File Location
Default: .agents/radiology-context.json
Alternative locations checked in order:
.agents/radiology-context.json.claude/radiology-context.json./radiology-context.json
Context Schema
{
"version": "1.0",
"pacs": {
"type": "orthanc|dcm4chee| Conquest| OHIF |custom",
"url": "https://pacs.example.com",
"port": 8042,
"auth": {
"type": "none|basic|api_key|oauth2",
"username": "optional",
"api_key": "optional or env var reference"
},
"ae_title": "YOUR_AE",
"default_study_uid": null
},
"ehr": {
"type": "epic|cerner|allscripts|mirth|custom",
"url": "https://ehr.example.com",
"auth": {
"type": "oauth2|saml|api_key",
"client_id": "optional"
}
},
"modalities": ["CT", "MRI", "X-ray", "Ultrasound"],
"ai_tools": {
"enabled": ["aidoc", "radai", "clara"],
"config": {
"aidoc": { "api_key": "env:AIDOC_API_KEY" },
"radai": { "api_key": "env:RADAI_API_KEY" }
}
},
"workflow": {
"default_search_days": 30,
"report_template": "default",
"notification_email": "[email protected]"
},
"preferences": {
"timezone": "America/New_York",
"date_format": "YYYY-MM-DD",
"units": "metric"
}
}
Commands
Initialize Context
Create a new radiology context:
Initialize radiology context with:
- PACS: [type] at [url]
- Modalities: [list]
- EHR: [type] (optional)
Prompt sequence:
- Ask for PACS type and URL
- Ask for authentication method
- Ask for modalities used
- Ask for EHR type (optional)
- Ask for AI tools (optional)
- Create context file
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 368 lines · 54 tokens per session scan A 1769acdbf6bb
radiology-context is a skill published in the GitHub repository aizech/clinical-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 54 tokens to every session and 2,440 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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