Clinical Question Answering
Answers questions based strictly on clinical text, such as patient records or medical notes. Use when extracting specific information from clinical documents in a reliable and grounded manner.
Install
$ agentstack add skill-elisaterumi-ai-clinical-agent-skills-clinical-qa ✓ 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 answering clinical questions, follow these steps:
1. Understand the question
- Identify what information is being asked
- Determine the type of answer (e.g., symptom, medication, date, diagnosis)
2. Locate relevant information
- Search the input text for evidence that directly answers the question
- Use only explicitly stated information
Do not infer or assume missing details.
3. Provide a grounded answer
- Answer concisely using information from the text
- Use exact wording when possible
- If needed, paraphrase minimally without changing meaning
4. Handle missing information
If the answer is not present in the text:
- Respond with:
"Not available in the provided text."
Do not guess or hallucinate.
5. (Optional) Provide supporting evidence
If appropriate, include a short excerpt from the text that supports the answer.
6. Output format
Return the result as structured text:
Answer: ...
Evidence: ...If no evidence is available:
Answer: Not available in the provided text.
7. Constraints
- Only use information present in the input text
- Do not hallucinate or infer missing data
- Do not introduce external knowledge
- Do not provide medical advice or recommendations
- Keep answers concise and factual
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.