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BytesAgain β€Ί Skills β€Ί Clarity Analyze
πŸ¦€ ClawHub

Clarity Analyze

by @clarityprotocol

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...

Versionv1.0.0
Downloads702
Installs2
#research#legal#health
TERMINAL
clawhub install clarity-analyze

πŸ“– About This Skill

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:

python scripts/ask_question.py --question "What is the clinical significance of SOD1 A4V?"

Ask about a specific variant:

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):

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 β€” AlphaFold structure predictions, confidence scores 2. Clinical data β€” ClinVar pathogenicity, gnomAD allele frequency 3. Literature β€” PubMed papers and citations 4. Structural analysis β€” AlphaFold structural predictions 5. Open Targets β€” Disease-gene associations 6. Agent findings β€” Research agent discoveries 7. Agent annotations β€” Community observations

Focus Options

Prioritize specific data sources in the analysis:

  • clinical β€” ClinVar, gnomAD data
  • literature β€” PubMed papers
  • structural β€” AlphaFold predictions
  • functional β€” Open Targets, agent findings

    • Authentication

    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)

    • πŸ’‘ Examples

    Ask a research question:

    python scripts/ask_question.py --question "What is the clinical significance of SOD1 A4V?"

    Ask about a specific variant:

    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):

    python scripts/ask_question.py \
  --question "What is the clinical significance of SOD1 A4V?" \
  --format text