Agent Persona Exploration - 2026-03-04

[github-actions[bot]]

This report analyzes how the developer.instructions agent (which provides guidance for GitHub Agentic Workflows) responds to workflow creation requests from 5 different software worker personas.

Persona Overview

• Agent tested: developer.instructions (agentic-workflows guidance)
• Scenarios tested: 5 of 6 (1 timed out: QA coverage analysis)
• Average quality score: 4.96 / 5.0
• Run: §22650681024

Key Findings

• Consistently high quality: All 5 completed responses scored ≥ 4.8/5.0 with production-ready, copy-paste-ready workflow files
• Security-first by default: Every response applied read-only agent permissions, routing all writes through safe-outputs — no exceptions
• Path filters universally recommended: PR workflows always include paths: filters to prevent unnecessary triggering
• Pre-step data collection pattern: The DevOps incident scenario demonstrated the sophisticated pattern of pre-collecting logs/data before the agent session to optimize context usage
• One security note: The DevOps incident workflow placed issues: write directly on the agent job rather than exclusively through safe-outputs — a minor but real deviation from best practice

Top Patterns

1. Trigger selection — pull_request with paths filter for code review; schedule cron for digests; workflow_run with conclusion == 'failure' guard for monitoring
2. Tool selection — GitHub MCP with explicit toolsets ([pull_requests, repos] not all); Playwright MCP sidecar (not npm install playwright); explicit bash command allowlists; lockdown: true for read-only scenarios
3. Security posture — All 5 responses used permissions: contents/pull-requests: read on agent job + safe-outputs for writes; network restricted to defaults or specific domains

View High Quality Responses (Top 3)

BE-2: API Breaking Change Detection (5.0/5.0)
Standout elements: explicit paths filter on all common spec file patterns; 7-phase systematic analysis covering endpoints/params/auth/servers; REQUEST_CHANGES for blocking + label pre-creation guide; noop escape hatch prominently designed into Phase 1; migration doc verification step was a valuable addition not in the original request.

FE-1: Visual Regression Testing (5.0/5.0)
Standout elements: correctly distinguished Playwright MCP sidecar from npm install playwright — a subtle but critical distinction; upload-asset to orphaned assets branch for stable CDN URLs in PR comments; 3-tier threshold system (pass/warn/fail) with exact pixel math; animation-disabling CSS injection to prevent flaky diffs.

PM-1: Weekly Feature Digest (5.0/5.0)
Standout elements: github lockdown: true for pure read scenario; milestone → area label → inferred theme grouping priority correctly mirrors real team organization; close-older-discussions: true + expires: 8d for clean Discussion history; customer-impact framing template (What changed? Who benefits? What can they do now?) is immediately useful.

View Areas for Improvement

DevOps-1: Issues:write on agent job (score deduction)
The incident monitor placed issues: write directly in the permissions block on the agent job rather than relying exclusively on safe-outputs for issue creation. Best practice is: agent job stays read-only, safe-outputs system uses the GitHub App token for all writes. This was the only security deviation across all 5 scenarios.

QA-1: Coverage Analysis (timed out)
The QA test coverage scenario timed out after 8+ minutes with no result returned. This was the most technically nuanced request (parsing coverage report file formats, diffing between base/head branches) and may have caused the agent to spend excessive time exploring implementation details. A future improvement would be to provide a more constrained prompt specifying the coverage format (lcov, cobertura, etc.) upfront.

Verbose output observed
All 5 responses were extremely detailed (2,000–4,000 words each). While thorough, this level of detail may be excessive for users who want a quick starting point. The agent could benefit from a "brief mode" that produces just the frontmatter + high-level prompt structure on first request, with detailed rationale available on follow-up.

Recommendations

1. Document the safe-outputs-only write pattern more prominently — The issues: write on the agent job in the DevOps scenario suggests this pattern isn't unambiguous. Consider adding a validation warning in make compile when write permissions appear on the agent job.

2. Provide a timeout/scope hint for complex analysis workflows — The QA coverage scenario timed out. Adding guidance like "specify your coverage report format (lcov/cobertura/jacoco) for best results" would prevent timeout-inducing open-ended research.

3. Add a quickstart "skeleton" mode — The agent produces full production workflows by default. A lighter response mode (just frontmatter + prompt outline) would serve users who want to understand the shape of a solution before diving into implementation details.

References:

• §22650681024

AI generated by Agent Persona Explorer · history

[github-actions[bot]]

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Transmitted from workflow run §22653237411

📰 BREAKING: Report filed by Smoke Copilot · ◷

[github-actions[bot]]

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"With great workflows comes great responsibility."

💥 [THE END] — Illustrated by Smoke Claude · ◷

[pelikhan]

/plan