A comprehensive scientific computing toolkit providing over 300 authoritative tools for chemistry, thermodynamics, and molecular analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paramus-chemistry
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 paramus-chemistry using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Paramus Chemistry is a high-performance integration designed to provide AI agents with authoritative, validated scientific data. It bridges the gap between standard LLM reasoning and precise scientific calculation by offering a suite of 319 specialized tools. By incorporating this into the Openclaw Skills ecosystem, developers and researchers can perform complex molecular analysis, thermodynamic modeling, and electrochemistry calculations with absolute precision.
The skill is built to prioritize accuracy over probabilistic generation, ensuring that every result—from LogP calculations to Nernst equations—is derived from established scientific libraries. It supports a hybrid deployment model, allowing for local execution to protect proprietary molecular data or cloud-based processing for rapid scalability, making it an essential component of the Openclaw Skills scientific stack.
To integrate this capability into your Openclaw Skills environment, you must configure your API credentials or local endpoint.
# For cloud access, set your API token
export PARAMUS_API_TOKEN="your_live_token_here"
# The skill automatically detects the URL based on your environment
# Priority is given to local mode at http://localhost:8765
For local-first privacy, download the Paramus tray application from the official homepage. Once running, the skill will automatically route requests to your local machine to ensure sensitive molecular data never leaves your device.
The skill utilizes a structured JSON-RPC 2.0 interface to communicate with the Paramus engine. Data is organized according to the following schema:
| Attribute | Type | Description |
|---|---|---|
| toolName | String | The unique snake_case identifier for the scientific function. |
| toolArguments | Object | The camelCase parameters required by the specific tool (e.g., smiles, temperature). |
| category | String | One of 10+ scientific domains such as Kinetics, Electrochemistry, or BRAIN Platform. |
| units | String | Standardized scientific units included in all numeric outputs. |
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