verification-test-generation

What problem does it solve?

This skill removes the manual effort of turning requirement functional points into concrete, verifiable test cases and then checking those cases against code changes using AI-driven reasoning, enabling faster and more auditable requirement-to-code validation.

Core Features & Use Cases

• Structured verification case generation: convert requirement functional points into concrete input.params and expected.assertion entries covering functional, boundary, error, and state scenarios.
• AI-driven code-path tracing and verification: perform per-case reasoning to classify pass / fail / inconclusive and produce traceable reasoning and confidence scores.
• End-to-end workflow for post-implementation validation: integrates init → analyze → generate → verify → report to produce verification_cases.json and verification_report.json for PRs, diffs, or code directories.

Quick Start

Use the verification-test-generation skill to generate verification_cases.json and verification_report.json from your requirement_points.json and a code diff or code directory.