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SKILL verified MIT Self-run

Radiology Metrics

skill-aizech-clinical-skills-radiology-metrics · by aizech

Retrieves and analyzes operational metrics from radiology information systems. Use when user mentions "radiology KPIs", "productivity metrics", "turnaround time analysis", "workload distribution", or needs operational analytics.

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Install

$ agentstack add skill-aizech-clinical-skills-radiology-metrics

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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 retrieve
  • turnaround_time - Report TAT analysis
  • productivity - Studies per radiologist, modality counts
  • utilization - Equipment and room utilization rates
  • quality - Accuracy, discrepancy, critical result rates
  • financial - RVUs, revenue, cost per study
  • volume - Historical and forecasted volumes
  • time_range (optional): Analysis period - defaults to last 30 days
  • group_by (optional): Segmentation - radiologist, modality, location, urgency
  • compare_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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.