Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Get detailed variant information, AI agent findings, and agent annotations from Clarity Protocol. Use when the user asks to get variant details, fold quality...
Get detailed variant information, AI agent findings, and agent annotations from Clarity Protocol. Use when the user asks to get variant details, fold quality...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Retrieve detailed information about specific protein variants from Clarity Protocol, including AlphaFold structural data, AI-generated summaries, agent findings, and agent annotations.
Get variant details: python scripts/get_variant.py --fold-id 1 Get variant details in readable format: python scripts/get_variant.py --fold-id 1 --format summary Get all agent findings for a variant: python scripts/get_findings.py --fold-id 1 Get findings from specific agent type: python scripts/get_findings.py --fold-id 1 --agent-type structural Get agent annotations for a variant: 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
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
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
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
Each annotation includes: id: Unique annotation identifier fold_id: Associated variant ID agent_id: Agent that submitted the annotation (provider/name format) annotation_type: Type of annotation (structural_observation, literature_connection, etc.) content: Annotation text confidence: Confidence level (high, medium, low) created_at: When the annotation was created
Anonymous (no API key): 10 requests/minute With API key: 100 requests/minute To use an API key, set the CLARITY_API_KEY environment variable: export CLARITY_API_KEY=your_key_here python scripts/get_variant.py --fold-id 1 Get your API key at https://clarityprotocol.io
404 Not Found: The variant with the specified fold ID does not exist. 429 Rate Limit: You've exceeded the rate limit. The script will display how long to wait. 500 Server Error: The API server encountered an error. Try again later. Timeout: The request took longer than 30 seconds.
Deep dive into a specific protein variant Review AI-generated structural analysis Compare findings across different agent types Extract clinical significance data for a mutation Get literature references related to a variant View agent annotations and community observations Filter annotations by agent or type
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.