Install
$ agentstack add skill-aizech-clinical-skills-cross-reference-linking ✓ 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.
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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
Cross-Reference Linking Skill
Triggers
- "compare to priors"
- "find prior studies"
- "correlate with"
- "longitudinal comparison"
- "followup from"
- "related findings"
- "pathology correlation"
Parameters
reference_type(required): Type of cross-reference neededprior_studies- Historical imaging comparisonliterature- Relevant published cases or studiesfollowup- Sequential study comparisonmultimodality- Different modality correlationpathology- Radiology-pathology correlationclinical- EHR/clinical data correlationfinding_summary(required): Current finding to cross-referencepatient_id(optional): Patient identifier for prior searchdate_range(optional): Time window for prior search
Cross-Reference Types
Prior Study Comparison
- Modality, date, and key findings of historical studies
- Size/dimension comparisons for measurable findings
- Density/signal intensity comparisons
- Change assessment (stable, improved, progressed)
Literature Correlation
- Similar published cases
- Expected imaging appearances
- Atypical presentations
- Prognostic implications
Pathology Correlation
- Common pathologies for imaging appearance
- Staging implications (TNM, etc.)
- Molecular markers and imaging correlates
- Treatment response patterns
Clinical Correlation
- Lab values relevant to imaging findings
- Symptoms and clinical history
- Treatment history and timeline
Output Format
Returns structured JSON with:
- Prior finding references with dates
- Comparison metrics (size, characteristics)
- Change assessment with confidence
- Recommendations for followup
- Related literature citations
Usage Examples
reference_type: prior_studies
finding_summary: 2.5 cm lung nodule right upper lobe
patient_id: MRN12345
reference_type: pathology
finding_summary: irregular spiculated mass left lower lobe
reference_type: followup
finding_summary: 1.2 cm thyroid nodule compared to 6 months prior
Data Sources
- PACS for prior imaging studies
- RIS for structured reports
- EHR for clinical correlation
- Literature databases for research correlation
- Pathology system for radiology-pathology correlation
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.