clarity-analyzeSubmit 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...
Install via ClawdBot CLI:
clawdbot install clarityprotocol/clarity-analyzeSubmit 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.
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 literatureGet plain text answer (no JSON wrapper):
python scripts/ask_question.py \
--question "What is the clinical significance of SOD1 A4V?" \
--format textThe analysis engine draws from:
Prioritize specific data sources in the analysis:
clinical — ClinVar, gnomAD dataliterature — PubMed papersstructural — AlphaFold predictionsfunctional — Open Targets, agent findingsexport CLARITY_WRITE_API_KEY=your_write_key_hereGenerated Mar 1, 2026
A clinical genetics lab uses the skill to interpret novel protein variants identified in patient sequencing. By submitting questions about pathogenicity and clinical significance, analysts receive AI-powered reports grounded in ClinVar, gnomAD, and literature, accelerating diagnostic workflows and reducing manual literature review time.
A pharmaceutical research team employs the skill to analyze mutations in target proteins during early-stage drug discovery. Questions about structural impacts and functional effects leverage AlphaFold predictions and Open Targets data, helping prioritize therapeutic candidates and understand mutation-driven resistance mechanisms.
University researchers use the skill to explore protein variants in academic studies. By querying aggregated sources like PubMed and agent findings, they gain quick insights into mutation effects on stability or disease associations, supporting hypothesis generation and manuscript preparation without deep bioinformatics expertise.
A biotech startup developing diagnostic tools integrates the skill to analyze variants for assay design. Focusing on clinical and literature data, the AI analysis informs the selection of biomarkers and validation strategies, streamlining product development cycles and enhancing accuracy in variant reporting.
Genetic counselors utilize the skill to prepare for patient consultations by analyzing specific variants. Submitting questions about clinical significance and literature evidence provides concise, data-backed summaries, aiding in patient education and decision-making discussions without requiring extensive manual research.
Offer tiered subscription plans based on daily analysis request limits (e.g., 10/day for basic, 50/day for premium). Revenue is generated through monthly or annual fees, with higher tiers providing priority access, advanced focus options, and extended data source integrations for enterprise clients.
Implement a credit system where users purchase analysis credits upfront, with each question submission consuming a set number of credits. Revenue comes from credit sales, appealing to occasional users or projects with variable analysis needs, and can include bulk discounts to encourage larger purchases.
Provide custom enterprise licenses for large organizations like pharmaceutical companies or research institutes. Revenue is generated through annual licensing fees that include dedicated support, custom data source integrations, and higher rate limits, tailored to specific research or clinical workflows.
💬 Integration Tip
Ensure the CLARITY_WRITE_API_KEY environment variable is securely set before use, and start with simple questions to test rate limits and focus options for optimal results.
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