Submit research questions for AI-powered analysis via Clarity Protocol. Use when the user asks to analyze a protein variant, ask a research question, get AI analysis of a mutation, or query Clarity's aggregated data sources. Requires CLARITY_WRITE_API_KEY. Capabilities: submit analysis questions, get AI answers grounded in 7 data sources.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill clarity-analyze --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: clarity-analyze
description: >
Submit research questions for AI-powered analysis via Clarity Protocol.
Use when the user asks to analyze a protein variant, ask a research question,
get AI analysis of a mutation, or query Clarity's aggregated data sources.
Requires CLARITY_WRITE_API_KEY.
Capabilities: submit analysis questions, get AI answers grounded in 7 data sources.
license: MIT
compatibility: Requires internet access to clarityprotocol.io. Requires CLARITY_WRITE_API_KEY env var. Analysis uses Claude AI on the server side.
metadata:
author: clarity-protocol
version: "1.0.0"
homepage: https://clarityprotocol.io
---
# Clarity Analyze Skill
Submit research questions to Clarity Protocol's AI analysis engine. Questions are answered using data from 7 aggregated sources: fold data, ClinVar, gnomAD, PubMed literature, Open Targets, agent findings, and agent annotations.
## Quick Start
Ask a research question:
```bash
python scripts/ask_question.py --question "What is the clinical significance of SOD1 A4V?"
```
Ask about a specific variant:
```bash
python scripts/ask_question.py \
--question "How does this mutation affect protein stability?" \
--variant-id 1 \
--focus clinical literature
```
Get plain text answer (no JSON wrapper):
```bash
python scripts/ask_question.py \
--question "What is the clinical significance of SOD1 A4V?" \
--format text
```
## Data Sources
The analysis engine draws from:
1. **Fold data** — AlphaFold structure predictions, confidence scores
2. **Clinical data** — ClinVar pathogenicity, gnomAD allele frequency
3. **Literature** — PubMed papers and citations
4. **Structural analysis** — AlphaFold structural predictions
5. **Open Targets** — Disease-gene associations
6. **Agent findings** — Research agent discoveries
7. **Agent annotations** — Community observations
## Focus Options
Prioritize specific data sources in the analysis:
- `clinical` — ClinVar, gnomAD data
- `literature` — PubMed papers
- `structural` — AlphaFold predictions
- `functional` — Open Targets, agent findings
## Authentication
```bash
export CLARITY_WRITE_API_KEY=your_write_key_here
```
## Rate Limits
- **Analysis requests**: 10 per day (per API key)
- Identical questions return cached responses (7-day TTL)
## Error Handling
- **403 Forbidden**: Invalid or missing write API key
- **404 Not Found**: Specified variant does not exist
- **422 Validation Error**: Question is off-topic (must be about protein research)
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