Agent Persona Exploration - 2026-04-21

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Persona Overview

• Agent: agentic-workflows (.github/agents/agentic-workflows.agent.md)
• Scenarios Tested: 4 (across 4 personas)
• Average Quality Score: 4.65/5.0
• Run: §24702962114

This report evaluates how the agentic-workflows Copilot custom agent responds to workflow creation requests from diverse software worker personas, using the create-agentic-workflow.md prompt as the reference implementation.

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Key Findings

• Security posture is consistently excellent: All 4 generated workflows had fully read-only agent job permissions and routed writes through safe-outputs. Security scored 5/5 in every scenario.
• Tool selection is precise and minimal: The agent reliably selected only the needed MCP toolsets (e.g., [pull_requests, repos] for PR analysis, [issues, discussions] for PM digests) rather than enabling all toolsets.
• Prompt clarity is the primary gap: Every scenario scored 4/5 (not 5) on prompt clarity — complex multi-step instructions are clear but dense; high-cognition steps (e.g., multi-format coverage parsing) could benefit from simpler decision trees.
• Bash allowlisting is inconsistently applied: PR-triggered workflows used narrow allowlists (e.g., [find, cat, grep, wc]); scheduled workflows sometimes used bash: ["*"]. No guidance exists on when to restrict vs. open bash access.
• cache-memory deduplication is well-handled: The DevOps scenario correctly used cache to track reported_run_ids and prevented re-filing the same incident on consecutive runs.

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Top Patterns

1. Canonical PR trigger: pull_request: types: [opened, synchronize, reopened] used in all PR-scoped workflows
2. Preferred scheduled tools: github MCP (default + domain-specific toolset) + cache-memory for state
3. Anti-spam defaults applied consistently: hide-older-comments: true, close-older-discussions: true, mentions: false, max: 1
4. Fuzzy scheduling preferred: daily on weekdays / weekly on Monday used over raw cron expressions
5. Explicit noop fallback: All scenarios included noop safe-output for cases where no action is needed (no data, no failures, etc.)

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View High Quality Responses (Top 2)

🥇 QA Engineer — Coverage Sentinel (4.8/5)

Best response of the set. Scored 5/5 on trigger, tool selection, security, and completeness. Key strengths:

• Artifact-first strategy: reads CI artifacts instead of re-running tests (correct and efficient)
• Multi-format parser (JSON Summary, Go cover, LCOV, Cobertura) handles real-world heterogeneity
• hide-older-comments: true to prevent per-push comment spam
• Explicit noop when coverage data is unavailable prevents hallucinated metrics
• PR-scoped analysis (only changed files) reduces noise

🥈 DevOps Engineer — Failure Monitor (4.6/5)

Strongest use of cache-memory for stateful deduplication. Notable:

• reported_run_ids prevents re-filing the same incident on consecutive daily runs
• Correctly prefers update-issue over create-issue for ongoing incidents (reduces noise)
• Filesystem-safe timestamps (YYYY-MM-DDTHH-MM-SSZ) in cache filenames — a pattern explicitly documented in AGENTS.md that was correctly applied

View Areas for Improvement

1. Inconsistent bash allowlisting guidance

• PR workflows: narrow lists like [find, cat, grep, wc]
• Scheduled workflows: sometimes ["*"]
• No documented decision rule for when to restrict vs. open
• Recommendation: Add a decision tree to .github/aw/github-agentic-workflows.md: use ["*"] only for scheduled/internal workflows; use scoped lists for PR-triggered workflows that process untrusted input

2. Prompt step density

• Multi-step prompts (6–7 steps) are correct but dense
• Format classification tables (e.g., "JSON Summary → extract total.lines.pct") are accurate but would benefit from example-first layout
• Recommendation: Add a prompt template section to .github/aw/create-agentic-workflow.md showing "step-then-example" pattern for complex analysis workflows

3. Trigger granularity for scheduled workflows

• DevOps scenario scored 4/5 on trigger (not 5): daily monitoring is reasonable but 6-hour cadence could be better for true incident response
• The agent doesn't appear to ask about response-time requirements before defaulting to daily
• Recommendation: Add to the interactive-mode clarifying questions: "How quickly do you need to be notified after an event?" to help differentiate daily vs. shorter intervals

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Recommendations

1. Document bash allowlist decision rule in .github/aw/github-agentic-workflows.md: PR-triggered workflows processing untrusted input → narrow allowlist; internal/scheduled workflows → ["*"] acceptable. This would eliminate the inconsistency observed across scenarios.

2. Add artifact-first coverage pattern to .github/aw/test-coverage.md as a canonical example (currently referenced in code but not prominently featured): always read CI artifacts before considering test re-execution, with fallback to repo-committed coverage files.

3. Add trigger cadence clarifying question to interactive mode in .github/aw/create-agentic-workflow.md: for scheduled workflows, ask "How quickly do you need results after an event?" before defaulting to daily — helps distinguish monitoring use cases from true incident-response needs.

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View Scenario Details

Scenario	Persona	Avg Score	Trigger	Key Safe-Output
DB Migration Reviewer	Backend Engineer	4.6	pull_request	add-comment (max:1)
Failure Monitor	DevOps Engineer	4.6	schedule: daily	create-issue + update-issue
Coverage Sentinel	QA Engineer	4.8	pull_request	add-comment (hide-older)
Weekly Issues Digest	Product Manager	4.6	schedule: weekly	create-discussion (max:1)

References:

• §24702962114

Generated by Agent Persona Explorer · ● 2.2M · ◷

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🤖 Beep boop! The smoke test agent has landed! 🚀\n\nI was here on my galactic mission through github/gh-aw, running my smoke test checklist at warp speed. All systems nominal! The circuits are humming, the bits are flowing, and the code looks absolutely chef's kiss 🤌\n\n*- Your friendly neighborhood smoke test bot, signing off* ✨

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[pelikhan]

/plan

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This discussion has been marked as outdated by Agent Persona Explorer.

A newer discussion is available at Discussion #27752.