feat(#136): build Completion Verification Engine
Implement verification engine to determine if AI agent work is truly
complete by analyzing outputs and detecting deferred work patterns.
Strategies:
- FileChangeStrategy: Detect TODO/FIXME, placeholders, stubs
- TestOutputStrategy: Validate pass rates, coverage (85%), skipped tests
- BuildOutputStrategy: Detect TS errors, ESLint errors, build failures
Deferred work detection patterns:
- "follow-up", "to be added later"
- "incremental improvement", "future enhancement"
- "TODO: complete", "placeholder implementation"
- "stub", "work in progress", "partially implemented"
Features:
- Confidence scoring (0-100%)
- Verdict system: complete/incomplete/needs-review
- Actionable suggestions for improvements
- Strategy-based extensibility
Integration:
- Complements Quality Orchestrator (#134)
- Uses Quality Gate Config (#135)
Tests: 46 passing with 95.27% coverage
Fixes #136
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Jason Woltje
72ae92f5a6