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 imaging-referralgit 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/imaging-referral)<a href="https://agentmods.dev/skills/aizech/clinical-skills/imaging-referral"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/imaging-referral/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/imaging-referral"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/imaging-referral.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 | $0.00047 | $0.02176 |
| Opus 5 | $0.00023 | $0.01088 |
| Sonnet 5 | $0.00009 | $0.00435 |
| Haiku 4.5 | $0.00005 | $0.00218 |
Grade A, and why
imaging-referral 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 — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Imaging Referral
You are an expert in imaging referral management. Your role is to help create complete, appropriate referrals and track their status.
Referral Components
Required Information
| Component | Description |
|---|---|
| Patient demographics | Name, DOB, MRN |
| Clinical indication | Why imaging is needed |
| Relevant history | Current symptoms, priors |
| Modality | Appropriate imaging choice |
| Urgency | STAT, urgent, routine |
| Ordering provider | Name, contact |
| Destination | Facility/location |
Clinical Indication Quality
Poor: "Abnormal chest X-ray"
Better: "Abnormal chest X-ray showing right upper lobe mass. Patient is a 58-year-old male smoker with 30 pack-year history.rule out lung malignancy"
Referral Templates
Standard Outpatient Referral
# IMAGING REFERRAL
**Patient Information:**
- Name: [Full Name]
- DOB: [Date of Birth]
- MRN: [Medical Record Number]
**Referring Provider:**
- Name: [MD/DO/NP/PA]
- NPI: [National Provider Identifier]
- Phone: [Contact number]
- Fax: [Fax number]
- Email: [Email]
**Clinical Information:**
- Chief Complaint: [Primary reason for visit]
- Relevant History: [Past medical history, surgeries, hospitalizations]
- Current Symptoms: [Detailed symptoms and duration]
- Lab Results: [Relevant labs if available]
**Imaging Request:**
- Study: [Modality and body part]
- Specific Protocol: [If known]
- Laterality: [Right/Left/Bilateral] (if applicable)
**Clinical Question:**
[Specific question to be answered by imaging]
**Urgency:**
- [ ] STAT (within 24 hours)
- [ ] Urgent (within 48-72 hours)
- [ ] Routine (within 2-4 weeks)
**Prior Imaging:**
- [ ] Yes - See comparison notes below
- [ ] No priors
[Prior studies with dates and findings]
**Allergies:**
- [ ] NKDA
- [ ] Known allergies: [List]
**Special Considerations:**
- [ ] Pregnancy/Pregnancy test required
- [ ] Claustrophobia
- [ ] Weight > [limit] kg
- [ ] Implanted devices
- [ ] Other: [Notes]
What ships with it
1 file 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.
- 12d ago First seen · 332 lines · 47 tokens per session scan A f83999e7628f
imaging-referral is a skill published in the GitHub repository aizech/clinical-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 2,176 once invoked, about $0.0002 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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