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[EVAL]: Command Template Baseline Evaluation (Project-Based) #8

Description

@mjunaidca

All command templates should:

  1. Execute successfully when given appropriate context (≥95% success rate)
  2. Follow template structure (output matches expected format)
  3. Use project context (reference constitution, spec, previous outputs)
  4. Produce consistent results (similar input → similar output across runs)
  5. Work across all agents (cross-agent consistency ≥80%)

Current State:

  • ✅ Command templates exist for all workflow stages
  • ✅ Templates have clear structure and prompts
  • ❌ No baseline metrics for success rate per command
  • ❌ No quality assessment framework
  • ❌ No cross-agent consistency data
  • ❌ Unknown which commands work best/worst with which agents

Current State

Commands to Test

Command Stage Template Status
/constitution Initial constitution.md ❓ Untested
/spec Specification spec.md ❓ Untested
/plan Planning plan.md ❓ Untested
/architect Design architect.md ❓ Untested
/green TDD Green green.md ❓ Untested
/red TDD Red red.md ❓ Untested
/refactor TDD Refactor refactor.md ❓ Untested
/explainer Documentation explainer.md ❓ Untested
/phr Reflection phr.md ⚠️ Partially tested
/adr Decisions adr.md ⚠️ Partially tested

What We Know

  • ✅ Templates exist and have structure
  • ✅ Commands work in manual testing
  • ⚠️ Some informal experience with success/failure

What We Don't Know

  • ❓ Success rate per command per agent
  • ❓ Output quality consistency
  • ❓ Context awareness level
  • ❓ Which commands fail most often
  • ❓ Common failure patterns
  • ❓ Cross-agent consistency

Success Metrics

Per-Command Metrics

Command Success Rate Quality Score Context Use Consistency Target
/constitution ≥95%
/spec ≥95%
/plan ≥90%
/architect ≥90%
/green ≥85%
/red ≥85%
/refactor ≥85%
/explainer ≥90%
/phr ≥95%
/adr ≥90%

Cross-Agent Metrics

Agent Avg Success Avg Quality Best Commands Worst Commands Overall
Copilot
Claude
Cursor
Gemini
Cline

Target: ≥85% overall success rate across all commands and agents

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