A powerful tool for visualizing how variable fluctuations impact project outcomes through automated tornado charts and scenario analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sensitivity-charts
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 sensitivity-charts using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Sensitivity Charts skill enables AI agents to perform rigorous risk assessments by mapping the relationship between input variables and final results. By leveraging Openclaw Skills, developers and analysts can quickly identify which factors—such as price, volume, or cost—exert the most influence on a project's success metrics.
This skill transforms raw data into structured visual representations, making it easier to communicate uncertainty and justify strategic decisions based on quantitative what-if modeling. It is designed to help users move beyond static estimates toward a dynamic understanding of project sensitivity.
To integrate this capability into your workflow, ensure the skill is available in your agent environment. You can initialize the analysis by providing specific arguments for your model.
# Example command to trigger sensitivity analysis via Openclaw Skills
openclaw run sensitivity-charts --args "Price=100,Volume=1M,Cost=50"
Configure your environment variables to define the default ranges (e.g., ±10%) for the variables you wish to monitor.
The skill organizes analysis into structured tables and visual summaries to ensure clarity:
| Component | Description | Format |
|---|---|---|
| Impact Ranking | Table showing base, low, high cases, and total dollar impact. | Markdown Table |
| Scenario Analysis | NPV, Probability, and Expected Value across scenarios. | Markdown Table |
| Tornado Chart | ASCII-based visualization of relative sensitivity. | Code Block |
| Key Findings | Bulleted list of most/least sensitive factors and breakeven points. | Markdown List |
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