A powerful tool for searching and exploring community-driven protein mutation analysis and AlphaFold2 folding results.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clarity-research
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install clarity-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Clarity Research skill provides seamless integration with the Clarity Protocol, a community-driven platform dedicated to protein mutation analysis. By leveraging AlphaFold2 data via ColabFold, this skill allows users to query vast datasets of protein variants and fold results. It is an essential addition to Openclaw Skills for researchers and developers working on bioinformatics, disease-specific protein data, and mutation impacts.
This skill enables users to explore protein research data with high precision, offering access to confidence scores, UniProt identifiers, and disease associations. Whether you are investigating Alzheimer's or searching for specific protein mutations like MAPT, this skill streamlines the process of data retrieval and analysis.
To get started with this skill, ensure you have internet access. While an API key is optional, it is recommended for higher rate limits.
Install the necessary dependencies and run the query script:
python scripts/query_variants.py --disease Alzheimer
To increase your rate limit to 100 requests per minute, set your API key:
export CLARITY_API_KEY=your_key_here
python scripts/query_variants.py --protein-name MAPT
You can acquire an API key from the Clarity Protocol homepage. These steps make it easy to integrate research capabilities into your Openclaw Skills library.
The skill organizes protein research data into a structured format containing the following fields:
| Field | Description |
|---|---|
| id | Unique identifier for the specific protein fold. |
| protein_name | Common name of the protein (e.g., tau, APP). |
| variant | Mutation notation (e.g., P301L, A246E). |
| disease | The disease associated with the mutation. |
| uniprot_id | Identifier for the UniProt database. |
| average_confidence | The AlphaFold2 confidence score (range 0-100). |
| created_at | Timestamp of when the fold was generated. |
This schema ensures consistency when using these Openclaw Skills for data mining.
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