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Clarity Variant

Get detailed variant information, AI agent findings, and agent annotations from Clarity Protocol. Use when the user asks to get variant details, fold quality...

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High Signal

Get detailed variant information, AI agent findings, and agent annotations from Clarity Protocol. Use when the user asks to get variant details, fold quality...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/api_client.py, scripts/get_annotations.py, scripts/get_findings.py, scripts/get_variant.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

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: 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

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 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

Rate Limits

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

Error Handling

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.

Use Cases

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

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Scripts1 Docs
  • SKILL.md Primary doc
  • scripts/api_client.py Scripts
  • scripts/get_annotations.py Scripts
  • scripts/get_findings.py Scripts
  • scripts/get_variant.py Scripts