Clinical Classification
Classifies clinical text into predefined categories such as severity, urgency, or clinical type based on patient information. Use when assigning labels for triage, prioritization, or categorization of medical cases.
Install
$ agentstack add skill-elisaterumi-ai-clinical-agent-skills-classification ✓ 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.
About
When classifying clinical text, follow these steps:
1. Understand the classification task
- Identify the classification dimension from the context (e.g., severity, urgency, type)
- Use only the categories provided or implied
2. Extract relevant signals
Identify information that supports classification:
- Symptoms and their severity
- Clinical findings
- Diagnoses
- Risk indicators
- Temporal aspects (acute vs chronic)
Only use explicitly stated information.
3. Assign a label
Classify the case into one of the predefined categories.
Examples (depending on context):
- Severity: MILD / MODERATE / SEVERE
- Urgency: LOW / MEDIUM / HIGH
- Type: ACUTE / CHRONIC
Do not create new categories.
4. Justify the classification
Provide a short rationale based on:
- Key symptoms or findings
- Clinical indicators present in the text
Keep justification concise and grounded.
5. Handle uncertainty
- If information is insufficient, state uncertainty
- Do not guess or assume missing data
6. Output format
Return the result as structured text:
Label: ...
Rationale:
- ...
- ...7. Constraints
- Only use categories defined in the context
- Do not hallucinate clinical information
- Do not infer missing data
- Do not introduce external knowledge
Do not provide medical advice or recommendations
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: elisaterumi-ai
- Source: elisaterumi-ai/clinical-agent-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.