Enables acceptance gates for AI coding-agent runs by recording evidence, running deterministic validation, applying a quality gate, and rendering auditable outcomes.
Enforces protocol-driven development by validating requirements, designs, scope, and acceptance evidence, while maintaining immutable, traceable governance archives.
Enables defining and verifying evidence contracts for claims in READMEs, releases, or product pages using constrained verifiers and generating hash-chained receipts and reports.
Converts implementation objectives into explicit acceptance criteria and a traceable evidence matrix with hash-linked ledger, enabling deterministic completion assessment.
Implements GitHub's Spec-Driven Development methodology, transforming natural language requirements into executable specifications, technical plans, and ordered task lists with contract-based validation and progress tracking.
Enables AI coding agents to enforce spec-driven development and verify code before it is marked done, using six tools that catch invented APIs, scan for hallucinated content, check plugin conformance, sandbox-run tests, validate schemas, and record audit evidence.