Validate development and operational claims with falsifiable test evidence.
npx skills add https://github.com/lidessen/skills --skill evidence-driven
Please help me install this Agent Skill. Skill: evidence-driven Source: https://github.com/lidessen/skills/tree/main/skills/evidence-driven Command: npx skills add https://github.com/lidessen/skills --skill evidence-driven
This Skill helps enforce discipline in development and operational workflows by ensuring claims of progress are backed by falsifiable evidence, reducing reliance on subjective judgment.
Apply the discipline to your tasks by running evidence-driven commands to plan, build, and verify with falsifiable evidence.
High-intent search queries and answers about installing and using this skill.
To enforce falsifiability in test-driven development, you validate that each progress claim includes specific, testable observations and concrete test outputs. This ensures development claims are backed by falsifiable evidence rather than subjective judgment.
Evidence-driven quality assurance is the practice of ensuring operational claims and feature deployments are supported by concrete, testable evidence. It enforces process validation and team discipline through structured workflows and falsifiable observation traces.
You verify regression testing claims by collecting specific test and observation traces that directly support your assertions. This rigorous validation requires structured workflows to ensure every bug fix or feature toggle is backed by manual verification traces before completion.
Yes, you can use process discipline validation for non-production environments, but it is designed for rigorous production deployment and regression testing scenarios. It requires specific test and observation traces to validate progress claims regardless of the environment.
The best way to integrate automated checks with team discipline is to write tests first and verify that evidence directly supports assertions. This approach enforces falsifiability principles and validates progress through structured workflows and concrete test outputs.
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