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-metricsgit 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-metrics)<a href="https://agentmods.dev/skills/aizech/clinical-skills/radiology-metrics"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/radiology-metrics/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-metrics"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/radiology-metrics.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 | $0.00048 | $0.00428 |
| Opus 5 | $0.00024 | $0.00214 |
| Sonnet 5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
radiology-metrics 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 11d 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.
What it actually says
Radiology Metrics Skill
Triggers
- "radiology KPIs"
- "productivity metrics"
- "turnaround time analysis"
- "workload distribution"
- "RVU tracking"
- "department dashboard"
- "volume forecasting"
Parameters
metric_type(required): Type of metrics to retrieveturnaround_time- Report TAT analysisproductivity- Studies per radiologist, modality countsutilization- Equipment and room utilization ratesquality- Accuracy, discrepancy, critical result ratesfinancial- RVUs, revenue, cost per studyvolume- Historical and forecasted volumes
time_range(optional): Analysis period - defaults to last 30 daysgroup_by(optional): Segmentation - radiologist, modality, location, urgencycompare_previous(optional): Include period-over-period comparison
Data Sources
- RIS (Radiology Information System) for report data
- PACS for study volumes and workflow timestamps
- Scheduler for utilization and capacity data
- Historical databases for trend analysis
Output Format
Returns structured JSON with:
- Primary metrics (requested type)
- Trend indicators (vs. previous period)
- Benchmark comparisons where available
- Anomaly alerts for statistical outliers
- Recommended actions for improvement areas
Usage Examples
metric_type: turnaround_time
time_range: last_month
group_by: [modality, urgency]
metric_type: productivity
time_range: last_quarter
compare_previous: true
Error Handling
- Missing RIS data: Report partial results with data gap indicators
- Insufficient history: Expand time range suggestion
- Permission denied: Request escalated access with justification
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.
- 11d ago First seen · 64 lines · 48 tokens per session scan A 5181425b3aca
radiology-metrics is a skill published in the GitHub repository aizech/clinical-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 428 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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