A high-performance financial planning tool providing source-verified data and deterministic calculators for complex wealth management tasks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install entropyfa
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 entropyfa 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 entropyFA Financial Planning?
entropyFA Financial Planning is a technical skill built for the Openclaw ecosystem that integrates the entropyfa CLI directly into your AI development workflow. This skill bridges the gap between probabilistic AI reasoning and deterministic financial accuracy, allowing agents to perform Monte Carlo projections, Roth conversions, and tax analysis using local, verified data rather than LLM memory. By leveraging Openclaw Skills like this, developers can ensure their agents provide financial insights that are backed by official sources and rigorous calculation pipelines.
The skill prioritizes data integrity and provenance, surfacing metadata such as verification status and source URLs for every lookup. This makes it an essential tool for professional-grade financial applications where precision is non-negotiable. Whether you are building a personal finance assistant or an enterprise-grade wealth management platform, this skill provides the necessary infrastructure for reliable financial computation.
entropyFA Financial Planning Use Cases
- Performing deterministic Monte Carlo projections for retirement and long-term goal planning.
- Retrieving verified tax thresholds, RMD rules, and pension data with full source provenance.
- Analyzing Roth conversion strategies and estate tax liabilities using local compute commands.
- Solving for specific financial goals by identifying required inputs through dynamic schema discovery.
- Automating financial data auditing by checking pipeline review statuses and official URLs.
How entropyFA Financial Planning Works
- The AI agent initiates a discovery phase by running
entropyfa data coverageto identify available financial datasets. - When a specific data point is needed, the agent performs a
data lookupto retrieve official values and source links. - For complex calculations, the agent runs the compute command with the
--schemaflag to determine the exact JSON structure required. - The agent passes the relevant financial parameters into the CLI using a structured JSON string to ensure deterministic results.
- The skill returns machine-readable JSON for the agent to process, with an optional visual flag for human-facing terminal displays.
entropyFA Financial Planning Setup
To utilize this skill within the Openclaw Skills framework, ensure the entropyfa CLI is installed and accessible in your system path.
# Install the entropyfa CLI tool
# Follow the specific installation guide for your OS at the Entropy GitHub repository
# Verify installation
entropyfa --version
# Test data coverage
entropyfa data coverage
entropyFA Financial Planning Data Schema & Taxonomy
| Data Type | Description | Format |
|---|---|---|
| Reference Data | Verified values for taxes, RMDs, and planning thresholds. | JSON / Table |
| Compute Schema | Dynamic input requirements for calculators like projection. | JSON Schema |
| Provenance Metadata | Includes verification_status, pipeline_reviewed, and sources. | Metadata Object |
| Visual Output | Terminal-based charts and projections for human review. | Stderr Visuals |
entropyFA Financial Planning Advanced Features
- Deterministic calculation engine for Monte Carlo projections and goal solvers.
- Full provenance tracking with source URLs and verification status for all financial data points.
- Schema discovery mode to programmatically determine required inputs for complex commands.
- Optimized for multi-agent workflows by keeping machine-readable data on stdout.
- Integration with local CLI tools to maintain data privacy and high-speed execution within Openclaw Skills.
SKILL.md
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