Validate pipeline outputs with checkpoint-level assertions and paired feature testing.
npx skills add https://github.com/thistleknot/skills --skill validation-thistleknot
Please help me install this Agent Skill. Skill: validation Source: https://github.com/thistleknot/skills/tree/main/validation Command: npx skills add https://github.com/thistleknot/skills --skill validation-thistleknot
Validation prevents broken implementations from slipping through by enforcing checkpoint-level assertions and layer-output review, not just end-state success.
Run the full pipeline for your change, capture each layer’s inputs and outputs, and only accept success when all checkpoint assertions and paired-feature checks pass.
High-intent search queries and answers about installing and using this skill.
Verify pipeline outputs by enforcing checkpoint-level assertions and inspecting layer outputs, not just checking end-state success. Contract-driven validation ensures broken implementations are caught early by confirming intermediate data transformations match expected conditions.
Structure test assertions using a dedicated validation class with one function per feature. Orchestrate calls from main and place assertions at data checkpoints using feature-scoped variables to verify presumed versus actual conditions throughout the pipeline.
Validate base and variant features together using paired feature testing to check gating logic, coexistence, and edge cases. Running both in the same test execution confirms extensibility works correctly without breaking existing pipeline functionality.
Contract-driven testing for pipeline checkpoints is needed when preventing broken implementations from slipping through. It treats a solution as correct only after successful execution and inspection of layer outputs against explicit contracts at every data checkpoint.
Scale validation iteratively from small to production-scale datasets while confirming forward and backward transformation reversibility. This progressive approach captures artifacts at each checkpoint to ensure pipeline integrity holds as data volume increases.
Pipeline end-state tests miss broken intermediate outputs because they skip checkpoint-level assertions. Applying contract-driven validation with layer-output review at each data checkpoint catches transformation errors that end-state success criteria overlook.
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