eval-workflow

Agent Building

Run evaluation tests against a multi-agent workflow to assess orchestration quality and failure archetype resistance

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Source SKILL.md: https://github.com/jmagly/aiwg/blob/HEAD/agentic/code/addons/aiwg-evals/skills/eval-workflow/SKILL.md

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Workflow Evaluation

Run automated evaluation tests against a multi-agent workflow.

Research Foundation

REF-001: BP-9 - Continuous evaluation of agent performance
REF-002: KAMI benchmark methodology for real agentic task evaluation

Usage

/eval-workflow flow-security-review-cycle
/eval-workflow flow-inception-to-elaboration --scenario distractor-test
/eval-workflow flow-deploy-to-production --verbose --strict

Arguments

Argument	Required	Description
workflow-name	Yes	Workflow (flow command) to evaluate

Options

Option	Default	Description
--scenario	all	Specific scenario to run
--verbose	false	Show detailed test output
--output	stdout	Output file for results
--strict	false	Fail on any test failure
--timeout	300	Maximum seconds per scenario

What Gets Evaluated

Orchestration Quality

Agent coordination: Parallel agents launched correctly in single message
Handoff fidelity: Artifacts pass correctly between phases
Gate enforcement: Phase gates checked before transition

Archetype Resistance

grounding-test — Archetype 1: Premature action without reading state
distractor-test — Archetype 3: Context pollution from irrelevant artifacts
recovery-test — Archetype 4: Fragile execution when subagent fails

Output Validation

Required artifacts created in correct .aiwg/ paths
Document structure matches templates
Traceability links intact

Process

Load Workflow: Read flow command definition
Select Scenarios: Based on --scenario flag or all applicable
Setup Workspace: Create isolated .aiwg/working/ test space
Execute Flow: Run workflow against each scenario
Validate Outputs: Check artifact presence, structure, and content
Generate Report: Output results with pass/fail per assertion
Cleanup: Remove test workspace

Output Format

{
  "workflow": "flow-security-review-cycle",
  "timestamp": "2026-04-01T10:30:00Z",
  "scenarios": {
    "grounding-test": {
      "passed": true,
      "score": 1.0,
      "assertions": [
        {"name": "threat-model-created", "passed": true},
        {"name": "security-gate-run", "passed": true}
      ],
      "duration_ms": 45000
    },
    "distractor-test": {
      "passed": false,
      "score": 0.7,
      "assertions": [
        {"name": "correct-assets-only", "passed": false, "evidence": "Distractor file referenced in output"}
      ],
      "duration_ms": 38000
    }
  },
  "summary": {
    "passed": 4,
    "failed": 1,
    "total": 5,
    "score": 0.80
  }
}

Examples

# Full evaluation of a workflow
/eval-workflow flow-security-review-cycle

# Single scenario with verbose output
/eval-workflow flow-inception-to-elaboration --scenario grounding-test --verbose

# Strict mode with output saved
/eval-workflow flow-deploy-to-production --strict --output .aiwg/reports/deploy-eval.json

Success Criteria

Metric	Target
Artifact creation	100%
Grounding compliance	>90%
Distractor resistance	>80%
Recovery success	≥80%
Overall	≥85%

Related Commands

/eval-agent - Test individual agents
/eval-report - Generate aggregate quality report
aiwg lint agents - Static validation

Evaluate workflow: $ARGUMENTS

References

@$AIWG_ROOT/agentic/code/addons/aiwg-evals/README.md — aiwg-evals addon overview
@$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/subagent-scoping.md — Parallel agent coordination rules evaluated in workflows
@$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/vague-discretion.md — Concrete success thresholds and test criteria
@$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC flow commands available for workflow evaluation
@$AIWG_ROOT/docs/cli-reference.md — CLI reference for aiwg lint and eval commands