Install
$ agentstack add skill-aizech-clinical-skills-report-quality-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →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 reviewcompleteness- Required element adherencediscrepancy- Error and miss analysisturnaround- TAT compliance monitoringcommunication- Critical result documentationattribution- Report signature verificationcqi- Continuous quality improvement trackingmodality(optional): Filter by imaging typetime_range(optional): Review period - defaults to last 30 daysurgency(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.
- Author: aizech
- Source: aizech/clinical-skills
- License: MIT
- Homepage: https://www.corpusanalytica.com/skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.