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Agent Persona Exploration - 2026-10-26

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评估

难度
2/5
预计耗时
1-3 小时
新手友好度
68/100
Issue 类型
文档
描述清晰度
描述清楚
活跃度
活跃
技术栈
github-actions, go
领域
devtools, documentation

调研方向

阅读建议中提到的三个文件：.github/aw/create-agentic-workflow-trigger-details.md、.github/aw/create-agentic-workflow.md和.github/aw/github-agentic-workflows.md。首先检查它们关于默认值、检查清单和命名模式的现有约定。完成标准是添加每周摘要时间窗口的默认值、用于验证仓库专用占位符的检查清单，以及在现有 CI 工件可用时优先使用它们的指导。

由索引模型根据 Issue 内容生成。

描述

agent-research
Persona Overview
  • Agent: agentic-workflows custom agent (persona-evaluator sub-agent)
  • Personas This Run: DevOps Engineer, QA Tester, Product Manager
  • Scenarios Tested: 4 (DO-1, DO-2, QA-1, PD-1) of 6 generated
  • Average Quality Score: 4.85/5.0

This run completes the full 9-persona rotation cycle (Backend Engineer, Frontend Developer, DevOps Engineer, QA Tester, Product Manager, Program Manager, Designer, Legal / Compliance, Information Worker all now covered at least once).

Key Findings
  • All 4 invocations succeeded; no tool or invocation failures this run.
  • The agent consistently defaults to minimal read-only permission scopes (contents: read plus only the specific resource read needed — actions: read, issues: read, pull-requests: read) and empty network.allowed: [] for pure GitHub-metadata tasks.
  • It reliably surfaces ambiguous requirements as explicit stated assumptions (undefined label taxonomy, undefined deploy workflow name, undefined coverage threshold) rather than silently guessing.
  • Digest-style scenarios (DO-2, PD-1) consistently reused the repo's report.md structure conventions (h3/h4 headers, <details> progressive disclosure, alert callouts, dedup keys for close-older-issues/close-older-key).
  • The QA coverage-delta scenario (QA-1) was the standout response: artifact-first strategy, a clearly gated/labeled fallback path, and a defined default threshold.
Top Patterns
  1. Triggers: schedule + workflow_dispatch for digests; pull_request (opened/synchronize) for PR automation; workflow_run + conclusion filter for incident detection.
  2. Tools: github (gh-proxy) with default plus task-specific toolsets (actions for run/job/artifact access) — no unnecessary playwright/web-fetch when the task is pure GitHub-metadata analysis.
  3. Security practices: minimal permission scopes, empty network allowlists by default (widened only for a stated recompute fallback), noop as an explicit no-op path, dedup keys to prevent duplicate issues.
View High Quality Responses (Top 2-3)
  • QA-1 (coverage delta comment): Scored 5/5 across all dimensions. Used an artifact-first strategy to avoid redundant CI work, explicitly labeled any recomputed (non-artifact) numbers as such, and matched the repo's dedicated test-coverage.md guidance precisely.
  • DO-1 (deploy incident): Correctly chose workflow_run + conclusion filter over deployment_status based on the stated trigger type, and built a stable dedup key to avoid duplicate incident issues.
  • PD-1 (feature digest by impact): Cleanly separated "noop on empty report window" from "Unclassified bucket on missing label" — a distinction earlier runs' scenarios sometimes blurred.
View Areas for Improvement (Top 2-3)
  • Several recommendations (DO-1's deploy workflow name, PD-1's impact-label taxonomy) depend on repo-specific naming that the agent correctly flagged as unconfirmed — but it has no mechanism to probe the actual repository's labels/workflow names before recommending, so every real adoption still needs a manual confirmation step.
  • DO-2's "weekly" window definition (calendar week vs. since-last-successful-run) keeps coming up as an assumption across digest scenarios; a documented default would remove the need to re-flag it each time.
  • Not tested this run due to subset budget: DO-2 variant QA-2 (flaky-pattern detection across runs) and PD-2 (stale high-interest feature requests) — defer to a future rotation if novel pattern-detection coverage is desired.
Recommendations
  1. Add a documented default digest-window convention (e.g. "weekly = last 7 full days ending at run start, UTC, unless the user states otherwise") to .github/aw/create-agentic-workflow-trigger-details.md so recurring-digest scenarios stop re-deriving this assumption each time.
  2. Add a short checklist to .github/aw/create-agentic-workflow.md for "repo-specific placeholders" (workflow names, label taxonomies) reminding authors to confirm these against the actual repository before compiling, since the agent correctly flags but cannot verify them.
  3. Continue favoring the artifact-first pattern demonstrated in QA-1 (prefer reading existing CI outputs over recomputing) — consider promoting it as a named pattern in .github/aw/github-agentic-workflows.md since it appeared independently across multiple runs' scenarios.

Generated by 🎭 Agent Persona Explorer · claude · agent · ~106 AIC · ⌖ ~1 AIC · ⊞ 4.5K · ◷

主要语言
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