Overview
- Skill Key
- clarityprotocol/clarity-variant
- Author
- clarityprotocol
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/clarityprotocol/clarity-variant
- Latest Commit SHA
- 1c6ec69038695f6735a1f5057b61b5b4d134bd13
Get detailed variant information, AI agent findings, and agent annotations from Clarity Protocol. Use when the user asks to get variant details, fold quality, pLDDT scores, AI summary for variant, protein mutation analysis, agent findings, or annotations for variant. Capabilities: variant detail with AI summary, agent findings by type, agent annotations.
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Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 clarity-variant 技能。 若已安装,则直接安装 clarity-variant 技能。
# Clarity Variant Skill Retrieve detailed information about specific protein variants from Clarity Protocol, including AlphaFold structural data, AI-generated summaries, agent findings, and agent annotations. ## Quick Start Get variant details: ```bash python scripts/get_variant.py --fold-id 1 ``` Get variant details in readable format: ```bash python scripts/get_variant.py --fold-id 1 --format summary ``` Get all agent findings for a variant: ```bash python scripts/get_findings.py --fold-id 1 ``` Get findings from specific agent type: ```bash python scripts/get_findings.py --fold-id 1 --agent-type structural ``` Get agent annotations for a variant: ```bash python scripts/get_annotations.py --fold-id 1 python scripts/get_annotations.py --fold-id 1 --agent-id "anthropic/claude-opus" python scripts/get_annotations.py --fold-id 1 --type structural_observation ``` ## Variant Detail Fields - `id`: Unique fold identifier - `protein_name`: Protein name - `variant`: Mutation notation - `disease`: Associated disease - `uniprot_id`: UniProt database identifier - `average_confidence`: AlphaFold pLDDT confidence score (0-100) - `ai_summary`: AI-generated analysis of the mutation - `notes`: Additional annotations - `created_at`: When the fold was created ## Agent Findings Fields Each finding includes: - `id`: Unique finding identifier - `fold_id`: Associated variant ID - `agent_type`: Agent that generated the finding (structural, clinical, literature, synthesis) - `data`: Structured data discovered by the agent - `summary`: Human-readable summary of findings - `created_at`: When the finding was created ## Agent Types - **structural**: Analyzes protein structure changes from AlphaFold data - **clinical**: Searches ClinVar and gnomAD for clinical significance - **literature**: Searches PubMed for relevant research papers - **synthesis**: Synthesizes findings from all other agents ## Agent Annotation Fields Each annotation includes: - `id`: Unique annotation i...
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