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This report documents a systematic exploration of agentic workflow patterns across 5 software engineering personas, testing 7 representative automation scenarios. The "agentic-workflows" custom agent was not accessible in this environment (neither as a task agent nor a skill), so analysis was performed using the general-purpose agent with gh-aw system knowledge.
Safe-outputs is universal — All 7 scenarios correctly enable safe-outputs. Any workflow producing external side effects (PR comments, issues, discussions, releases) should always have it enabled.
Network allowlist is almost always empty — GitHub MCP provides full GitHub API access without needing api.github.com in the allowlist. 6/7 scenarios use no external network access.
Claude dominates for reasoning-heavy tasks — 6/7 scenarios recommend claude as the engine. Copilot is reserved for procedural/tool-heavy tasks (e.g., Playwright visual testing).
Path-scoped PR triggers outperform broad triggers — BE1, BE2, FE1 show that scoping on.pull_request.paths dramatically reduces noise and false positives.
Artifact dependencies are the main hidden risk — QA1 and FE1 silently assume prior CI steps upload coverage reports and Storybook baselines respectively.
Top Patterns
Most common trigger: pull_request with path filters (4/7), followed by schedule (1/7), workflow_run (1/7), push.tags (1/7)
Most recommended tools: github/default (7/7), with targeted additions: actions, checks, discussions, releases, playwright
Security invariants: contents: read always present; write permissions strictly scoped to output type (pull-requests: write vs issues: write vs discussions: write); empty network allowlists
Scenario Quality Scores
ID
Scenario
Trigger
Tools
Security
Prompt
Complete
Avg
Engine
BE1
DB Migration Review
5
5
5
4
5
4.8
claude
BE2
API Contract Detection
4
5
5
4
4
4.4
claude
FE1
Visual Regression
5
5
4
3
4
4.2
copilot
DO1
Deployment Incidents
5
5
4
5
5
4.8
claude
QA1
Coverage Analysis
4
4
5
4
4
4.2
claude
PM1
Weekly Feature Digest
5
5
5
5
5
5.0
claude
PM2
Release Notes on Tag
5
5
4
5
5
4.8
claude
Top Performing Scenarios (avg ≥ 4.8)
PM1 - Weekly Feature Digest (5.0/5): Fully self-contained; no external dependencies. Monday schedule, discussions toolset, editorial writing. The perfect gh-aw use case — no prior infrastructure required.
BE1 - DB Migration Review (4.8/5): Path-scoped trigger fires only on migration files. Empty network allowlist, pull-requests: write only. Leverages Claude's SQL DDL reasoning natively.
DO1 - Deployment Incident Creation (4.8/5): workflow_run trigger with conclusion-gating in the prompt. Requires actions: read for log access — the only scenario with this permission pattern. High operational ROI.
PM2 - Release Notes (4.8/5): Tag push trigger with releases toolset. contents: write is the only broad permission, justified for release creation. Pre-release detection via semver suffix analysis.
Requires Storybook server running as a prior job step — not self-contained
Baseline storage strategy (artifact vs. git-LFS vs. branch) must be decided before deployment
Most complex setup dependency of all 7 scenarios
Recommendation: Add a "prerequisites" section to the workflow template for Playwright scenarios
QA1 - Coverage Analysis (tool score: 4/5)
Silently assumes coverage reports are already uploaded as CI artifacts
No standard artifact name/format across test runners (lcov vs. cobertura vs. JSON)
Recommendation: Workflow template should include a coverage-format input parameter and artifact name convention
Agent Availability Gap
The "agentic-workflows" custom agent was not accessible in this environment (not registered as a task agent type or skill)
This limits the ability to test how the agent handles ambiguous requests, edge cases, or misuse scenarios
Recommendation: Register agentic-workflows as an available skill or task agent type for meta-testing capabilities
Recommendations
Publish a "workflow patterns" quick-start library with the 4 top-scoring patterns (PM1, BE1, DO1, PM2) as ready-to-use templates. These are production-ready with no external dependencies.
Add artifact dependency documentation — workflows like QA1 and FE1 require prior CI steps to upload artifacts. A prerequisites: frontmatter field or a conventions doc would prevent silent failures.
Register agentic-workflows as a testable skill — the inability to directly invoke the agent in this environment prevents systematic quality regression testing. Adding it to the available skills/agents would enable automated capability monitoring.
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This report documents a systematic exploration of agentic workflow patterns across 5 software engineering personas, testing 7 representative automation scenarios. The "agentic-workflows" custom agent was not accessible in this environment (neither as a task agent nor a skill), so analysis was performed using the general-purpose agent with gh-aw system knowledge.
Persona Overview
Key Findings
safe-outputs. Any workflow producing external side effects (PR comments, issues, discussions, releases) should always have it enabled.api.github.comin the allowlist. 6/7 scenarios use no external network access.claudeas the engine. Copilot is reserved for procedural/tool-heavy tasks (e.g., Playwright visual testing).on.pull_request.pathsdramatically reduces noise and false positives.Top Patterns
pull_requestwith path filters (4/7), followed byschedule(1/7),workflow_run(1/7),push.tags(1/7)github/default(7/7), with targeted additions:actions,checks,discussions,releases,playwrightcontents: readalways present; write permissions strictly scoped to output type (pull-requests: writevsissues: writevsdiscussions: write); empty network allowlistsScenario Quality Scores
Top Performing Scenarios (avg ≥ 4.8)
PM1 - Weekly Feature Digest (5.0/5): Fully self-contained; no external dependencies. Monday schedule, discussions toolset, editorial writing. The perfect gh-aw use case — no prior infrastructure required.
BE1 - DB Migration Review (4.8/5): Path-scoped trigger fires only on migration files. Empty network allowlist,
pull-requests: writeonly. Leverages Claude's SQL DDL reasoning natively.DO1 - Deployment Incident Creation (4.8/5):
workflow_runtrigger with conclusion-gating in the prompt. Requiresactions: readfor log access — the only scenario with this permission pattern. High operational ROI.PM2 - Release Notes (4.8/5): Tag push trigger with
releasestoolset.contents: writeis the only broad permission, justified for release creation. Pre-release detection via semver suffix analysis.Areas for Improvement
FE1 - Visual Regression Testing (lowest prompt clarity: 3/5)
QA1 - Coverage Analysis (tool score: 4/5)
coverage-formatinput parameter and artifact name conventionAgent Availability Gap
agentic-workflowsas an available skill or task agent type for meta-testing capabilitiesRecommendations
Publish a "workflow patterns" quick-start library with the 4 top-scoring patterns (PM1, BE1, DO1, PM2) as ready-to-use templates. These are production-ready with no external dependencies.
Add artifact dependency documentation — workflows like QA1 and FE1 require prior CI steps to upload artifacts. A
prerequisites:frontmatter field or a conventions doc would prevent silent failures.Register
agentic-workflowsas a testable skill — the inability to directly invoke the agent in this environment prevents systematic quality regression testing. Adding it to the available skills/agents would enable automated capability monitoring.References:
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