Agent Persona Exploration - 2026-08-24

[github-actions]

Persona Overview

• Agent: agentic-workflows
• Personas This Run: Product Manager, Legal / Compliance, Information Worker
• Scenarios Tested: 4
• Average Quality Score: N/A

Key Findings

• Direct invocation of the "agentic-workflows" custom agent was not available from the exposed CLI surface in this environment.
• The available agenticworkflows CLI appears focused on workflow file management (add, compile, audit, fix) rather than persona-prompted workflow design.
• All four sampled scenarios were captured as partial results with invocation_unavailable, preserving benchmark coverage without blocking the run.
• Non-technical personas remain valuable test targets; their scenarios surfaced useful future benchmark categories for scheduled reporting, PR policy checks, and documentation hygiene.

Top Patterns

1. Most selected trigger types in this run's scenario set were scheduled and pull_request automation.
2. Expected tool patterns would likely center on GitHub reads, dependency/license scanners, and safe-output issue/comment actions.
3. Security expectations for future evaluations should emphasize minimal permissions, restricted write paths, and avoiding unnecessary external network access.

View Scenario Coverage

• PM-1: Weekly digest of completed features grouped by customer impact — invocation_unavailable
• PM-2: Flag release PRs missing customer-visible changelog notes — invocation_unavailable
• LEG-1: Scan new dependencies added in PRs for non-permissive SPDX licenses — invocation_unavailable
• IW-1: Weekly summary of stale documentation files not updated in the last 90 days — invocation_unavailable

CLI evidence:

• agenticworkflows --help listed repository-management commands only.
• A freeform prompt attempt through agenticworkflows add . failed because the command expects structured JSON for workflow import, not custom-agent prompting.

View Areas for Improvement

• Provide a documented invocation path for the custom "agentic-workflows" agent so benchmark runs can score response quality directly.
• Add a lightweight example in .github/aw/create-agentic-workflow.md or related .github/aw/*.md docs showing how persona-style requests should be submitted for evaluation.
• Clarify whether the expected research surface is a CLI, workflow, or separate runtime endpoint to reduce failed exploratory calls.

Recommendations

1. Document a first-class custom-agent invocation method in .github/aw/create-agentic-workflow.md (or the closest .github/aw/*.md guide) with one concise example request and expected response shape.
2. Add benchmarking guidance for non-technical personas in .github/aw/github-agentic-workflows.md, including common scheduled-report and policy-check scenarios.
3. If direct invocation is intentionally unavailable, note that limitation explicitly in .github/aw/*.md docs and recommend a supported alternative evaluation path.

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