A specialized tool for submitting protein variant hypotheses to the Clarity Protocol for automated validation and structural prediction.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clarity-submit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install clarity-submit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Clarity Submit?
Clarity Submit is a high-performance integration designed to bridge the gap between bioinformatics hypotheses and structural validation. As a key component in the ecosystem of Openclaw Skills, it allows researchers and developers to programmatically submit protein variants for ColabFold structural prediction. The skill streamlines the workflow by automating initial feasibility checks against global databases such as UniProt, ClinVar, and PubMed, ensuring that only scientifically viable hypotheses proceed to the resource-intensive folding stage.
By leveraging this skill, users can transform raw genetic data into actionable structural insights. It provides a robust interface for interacting with the Clarity Protocol, enabling both manual and agent-driven exploration of mutations. This ensures that the most promising protein variants are prioritized for computational analysis and AI-driven monitoring, making it an essential asset for modern genomic research within the Openclaw Skills framework.
Clarity Submit Use Cases
- Automate the submission of protein variant hypotheses for structural analysis.
- Integrate Clarity Protocol structural predictions into existing bioinformatics research pipelines.
- Perform batch processing of variants of interest for large-scale genetic or clinical studies.
- Enable autonomous AI agents to generate, filter, and validate hypotheses without manual intervention.
How Clarity Submit Works
- The user or agent provides a protein name, specific variant notation, and a supporting rationale.
- The skill triggers an automated feasibility validation process against UniProt, ClinVar, gnomAD, and PubMed.
- Validated hypotheses are automatically queued for ColabFold structural prediction on Clarity's compute infrastructure.
- A set of four specialized AI research agents begins continuous monitoring of the variant for emerging findings.
- The system returns a unique ID and tracking URL, allowing real-time monitoring of the folding progress and eventual results.
Clarity Submit Setup
To utilize this functionality within your Openclaw Skills environment, you must first obtain a write API key from the Clarity Protocol team. Once acquired, configure your environment variables as follows:
export CLARITY_WRITE_KEY=your_write_key_here
You can then submit a hypothesis using the provided Python scripts:
python scripts/submit_hypothesis.py --protein SOD1 --variant A4V --rationale "ALS-linked mutation with unknown structural impact"
Clarity Submit Data Schema & Taxonomy
The skill manages data through a structured schema to ensure consistency across the Openclaw Skills platform. Requests and responses follow a strict metadata taxonomy:
| Attribute | Requirement | Description |
|---|---|---|
| protein | Required | Normalized protein name (e.g., SOD1, APP). |
| variant | Required | Mutation notation (e.g., A4V, P301L). |
| rationale | Required | Minimum 10-character justification for the study. |
| wallet | Optional | Solana wallet address for $FOLD reward eligibility. |
| status | Output | Tracks lifecycle: submitted, validating, queued, folding, complete, or rejected. |
| tracking_url | Output | Permanent link to the results on clarityprotocol.io. |
Clarity Submit Advanced Features
- Multi-agent monitoring system that utilizes four distinct AI agents to track research developments post-submission.
- Solana wallet integration for managing $FOLD reward eligibility based on hypothesis impact.
- High-frequency read access (100 RPM) for real-time status updates in complex dashboards.
- Automated residue limit enforcement to ensure protein sequences stay within the 1,500 residue capacity for folding stability.
- Error-handling mechanisms for rate limiting and validation errors to maintain pipeline reliability within Openclaw Skills.
SKILL.md
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