Pymc Testing
Automates PyMC statistical model testing, verifying parameter estimation accuracy and convergence diagnostics.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add pymc-testing npx -- -y @trustedskills/pymc-testing
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"pymc-testing": {
"command": "npx",
"args": [
"-y",
"@trustedskills/pymc-testing"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides automated testing capabilities for PyMC models. It allows users to define test cases, execute them against a PyMC model, and verify that the results meet expected criteria. The skill streamlines the process of ensuring the correctness and reliability of probabilistic programming code.
When to use it
- Model Validation: Verify newly developed or modified PyMC models produce accurate and consistent results.
- Regression Testing: Ensure changes to existing code don't introduce unexpected behavior or break functionality.
- Continuous Integration: Integrate testing into a CI/CD pipeline for automated model quality checks.
- Reproducibility Checks: Confirm that model runs are reproducible across different environments and dependencies.
Key capabilities
- Automated test execution
- Test case definition
- Result verification against expected criteria
- Integration with PyMC models
Example prompts
- "Run the tests for my PyMC model located at
/path/to/model.py." - "Create a new test case to check the posterior mean of parameter 'beta'."
- "Execute all existing tests and report any failures."
Tips & gotchas
- Requires familiarity with PyMC and testing principles.
- The skill's effectiveness depends on well-defined and comprehensive test cases.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.