Implementation Roadmap

February 1, 2026 · View on GitHub

This document tracks the implementation progress of the Skills Eval Framework.

Phase 1: Core Framework ✅ COMPLETE

Build the foundational components.

Task	Description	Status
1.1	Initialize Python project with pyproject.toml, dependencies	✅
1.2	Define data models/schemas (Task, Trial, Result, EvalSpec)	✅
1.3	Implement base Grader interface and code-based graders	✅
1.4	Implement eval Runner that orchestrates task execution	✅
1.5	Implement JSON reporter for results output	✅
1.6	Create CLI entrypoint (`waza run`, `waza init`)	✅

Deliverable: ✅ Working CLI that can run basic evals with code-based graders.

Phase 2: Grading System ✅ COMPLETE

Implement the full grading capabilities.

Task	Description	Status
2.1	Implement trigger accuracy metric (shouldTrigger/shouldNotTrigger)	✅
2.2	Implement task completion metric with assertion-based grading	✅
2.3	Implement LLM-as-judge grader with configurable rubrics	✅
2.4	Implement behavior quality metrics (tool calls, efficiency)	✅
2.5	Implement composite scoring with configurable weights	✅

Deliverable: ✅ Support for all three grader types with weighted composite scores.

Phase 3: Developer Experience ✅ COMPLETE

Make it easy to adopt and use.

Task	Description	Status
3.1	Create `waza init <skill-name>` scaffolding command	✅
3.2	Add markdown reporter for human-readable reports	✅
3.3	Create GitHub Actions workflow for CI integration	✅
3.4	Write comprehensive README with examples	✅
3.5	Add example eval suite for azure-deploy skill	✅

Deliverable: ✅ Complete developer workflow from init to CI/CD.

Phase 4: Eval-as-Skill ✅ COMPLETE

Enable meta-evaluation within skill runtimes.

Task	Description	Status
4.1	Create `waza-runner` skill with SKILL.md	✅
4.2	Implement skill instructions for running evals	✅
4.3	Add human review workflow support	✅
4.4	Test meta-evaluation capability	✅

Deliverable: ✅ A skill that can evaluate other skills.

Phase 5: Polish & Documentation ✅ COMPLETE

Production-ready quality.

Task	Description	Status
5.1	Add comprehensive test coverage (>80%)	✅ (34 tests passing)
5.2	Write specification documentation	✅
5.3	Create tutorial for writing skill evals	✅
5.4	Add examples for different skill types	✅

Deliverable: ✅ Production-ready framework with full documentation.

Phase 6: Advanced Integration ✅ COMPLETE

Real Copilot SDK testing, model comparison, and runtime telemetry.

Task	Description	Status
6.1	Add `copilot-sdk` as optional dependency	✅
6.2	Create `CopilotExecutor` class wrapping SDK	✅
6.3	Add `executor` and `model` config options	✅
6.4	Add `--model` and `--executor` CLI flags	✅
6.5	Create `waza compare` command	✅
6.6	Create runtime telemetry module	✅
6.7	Add `waza analyze` command	✅

Deliverable: ✅ Real integration testing with model comparison and runtime metrics.

Architecture

waza/
├── waza/                    # Python package
│   ├── __init__.py
│   ├── cli.py                     # CLI entrypoint
│   ├── runner.py                  # Eval orchestration
│   ├── graders/
│   │   ├── base.py               # Abstract grader interface
│   │   ├── code_graders.py       # Deterministic graders
│   │   ├── llm_graders.py        # LLM-as-judge graders
│   │   └── human_graders.py      # Human review workflow
│   ├── metrics/
│   │   ├── task_completion.py
│   │   ├── trigger_accuracy.py
│   │   ├── behavior_quality.py
│   │   └── composite.py
│   ├── reporters/
│   │   ├── json_reporter.py
│   │   ├── markdown_reporter.py
│   │   └── github_reporter.py
│   └── schemas/
│       ├── eval_spec.py
│       ├── task.py
│       └── results.py
├── waza-runner/             # Eval-as-skill
│   └── SKILL.md
├── examples/
├── tests/
├── pyproject.toml
└── README.md

Legend

⬚ Not started
⏳ In progress
✅ Complete
⚠️ Blocked

Progress Log

2026-01-31

✅ Created project structure
✅ Implemented complete Phase 1 (Core Framework)
✅ Implemented Phase 2 (Grading System)
✅ Implemented Phase 3 (Developer Experience)
✅ Implemented Phase 4 (Eval-as-Skill)
✅ Implemented Phase 5 (Documentation)
✅ Implemented Phase 6 (Advanced Integration)
✅ 34 tests passing
✅ 48 files created
✅ CLI working with new commands:
- waza run - with --model and --executor flags
- waza init - scaffolds complete eval suite
- waza compare - side-by-side model comparison
- waza analyze - runtime telemetry analysis
- waza list-graders - available grader types
- waza report - generate reports from results
✅ Example evals for azure-deploy and cli-session-recorder skills
✅ Created DEMO-SCRIPT.md for video walkthrough
✅ Created Integration Testing and Telemetry documentation