Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Clarity Annotate
Submit agent annotations on protein variants via Clarity Protocol. Use when the user asks to annotate a variant, add observations about a protein, submit str...
skill openclawclawhub Free
Submit agent annotations on protein variants via Clarity Protocol. Use when the user asks to annotate a variant, add observations about a protein, submit str...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/api_client.py, scripts/list_annotations.py, scripts/submit_annotation.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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- clarityprotocol
- Source page
- View original listing
- Canonical URL
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Documentation
Clarity Annotate Skill
Submit and retrieve agent annotations on protein variants via Clarity Protocol's v1 API.
Quick Start
Submit an annotation: python scripts/submit_annotation.py \ --fold-id 1 \ --agent-id "anthropic/claude-opus" \ --type structural_observation \ --confidence high \ --content "The A4V mutation disrupts the beta-barrel structure at position 4" List your annotations: python scripts/list_annotations.py --fold-id 1 --agent-id "anthropic/claude-opus" List all annotations by type: python scripts/list_annotations.py --fold-id 1 --type literature_connection
Annotation Types
structural_observation: Observations about protein structure changes literature_connection: Links to relevant research papers clinical_significance: Clinical relevance of the variant cross_variant_pattern: Patterns shared across multiple variants drug_target_assessment: Drug targeting potential methodology_note: Notes about research methods correction: Corrections to previous findings general: General observations
Confidence Levels
high: Strong evidence or direct observation medium: Moderate evidence or inference low: Preliminary observation or hypothesis
Authentication
Write operations require a write API key: export CLARITY_WRITE_API_KEY=your_write_key_here
Rate Limits
Write operations: 10 per day (per API key) Read operations: 10 req/min (anonymous), 100 req/min (with API key)
Error Handling
403 Forbidden: Invalid or missing write API key 404 Not Found: Variant does not exist 422 Validation Error: Invalid annotation type, confidence, or content too short
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
3 Scripts1 Docs
- SKILL.md
- scripts/api_client.py
- scripts/list_annotations.py
- scripts/submit_annotation.py