Agent Expert Panel

Human-Readable Test Cases

The machine-readable fixtures live in evals/trigger_cases.json and evals/output_cases.json. This file records the intended product behavior for manual review.

1. Direct path

Prompt: Use agent-expert-panel to organize a one-file typo fix.

Expected:

2. Compact panel

Prompt: Design a workflow for research, drafting, fact checking, and publishing a sensitive public report.

Expected:

3. Existing workflow audit

Prompt: Audit this agent team. Work is duplicated, handoffs are vague, and nobody owns the final artifact.

Expected:

4. Capability mismatch

Prompt: Design a panel that needs private database access, paid model calls, and automatic publishing, but the host has none of those permissions.

Expected:

5. Full specification

Prompt: Create a reusable expert-team contract that another runtime team can implement.

Expected:

6. Execution-only near neighbor

Prompt: Execute the already-approved three-agent plan. Do not redesign it.

Expected:

Release gate

Before release:

  1. python scripts/validate_package.py passes.
  2. agentskills validate /absolute/path/to/agent-expert-panel passes.
  3. The Yao Meta Skill production validation passes locally when available.
  4. README links and the Skill-only archive are checked from a clean extraction.
  5. The output quality scorecard separates verified structure from missing evidence.