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SKILL verified MIT Self-run

Report Quality Review

skill-aizech-clinical-skills-report-quality-review · by aizech

Monitors and improves radiology report quality through systematic audit and feedback. Use when user mentions "report quality review", "discrepancy audit", "report completeness", "addendum analysis", or needs quality assurance.

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Install

$ agentstack add skill-aizech-clinical-skills-report-quality-review

✓ 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

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Report Quality Review Skill

Triggers

  • "report quality review"
  • "discrepancy audit"
  • "report completeness"
  • "addendum analysis"
  • "quality improvement"
  • "peer review"
  • "report turnaround"

Parameters

  • review_type (required): Type of quality review
  • completeness - Required element adherence
  • discrepancy - Error and miss analysis
  • turnaround - TAT compliance monitoring
  • communication - Critical result documentation
  • attribution - Report signature verification
  • cqi - Continuous quality improvement tracking
  • modality (optional): Filter by imaging type
  • time_range (optional): Review period - defaults to last 30 days
  • urgency (optional): Filter by clinical setting (ED, inpatient, outpatient)

Quality Metrics Tracked

  • Completeness: Required elements, comparison documentation, impression presence
  • Accuracy: Discrepancy rates, addendum rates, amended findings
  • Timeliness: TAT by setting, protocol compliance, pending report alerts
  • Communication: Critical result documentation, escalation compliance
  • Format: Structured data presence,标准化 terminology use

Output Format

Returns structured JSON with:

  • Quality score by metric category
  • Trend analysis (improving/declining)
  • Individual radiologist feedback (anonymized aggregates)
  • Improvement recommendations
  • Peer review learning points

Usage Examples

review_type: completeness
modality: CT
time_range: last_month

review_type: discrepancy
time_range: last_quarter
urgency: ED

Integration Points

  • RIS for report content and timestamps
  • PACS for comparison study tracking
  • Communication logs for critical result verification
  • Peer review system for discrepancy classification

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.