QA Report — [URL] — [timestamp]

发布时间:2026/9/12 3:57:20
QA Report — [URL] — [timestamp] QA Report — [URL] — [timestamp]【免费下载链接】ECCThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.项目地址: https://gitcode.com/GitHub_Trending/ev/ECCSmoke TestConsole errors: 0 critical, 2 warnings (analytics noise)Network: all 200/304, no failuresCore Web Vitals: LCP 1.2s ✓, CLS 0.02 ✓, INP 89ms ✓Interactions[✓] Nav links: 12/12 working[✗] Contact form: missing error state for invalid email[✓] Auth flow: login/logout workingVisual[✗] Hero section overflows on 375px viewport[✓] Dark mode: all pages consistentAccessibility2 AA violations: missing alt text on hero image, low contrast on footer linksVerdict: SHIP WITH FIXES (2 issues, 0 blockers)verdict ∈ SHIP / SHIP WITH FIXES / DO NOT SHIP; use INCONCLUSIVE if no visual baseline报告规范要点 - **四段式结构**Smoke Test / Interactions / Visual / Accessibility与四个阶段一一对应 - **最终裁定**SHIP可发布/ SHIP WITH FIXES修复后发布/ DO NOT SHIP禁止发布**无视觉基线时使用 INCONCLUSIVE** - 每一行都带明确状态标记✓ / ✗并附证据数值、数量让结论可追溯、可复核。 ## 八、集成与 /canary-watch、/benchmark 组合成发布闭环 browser-qa 的实战价值在组合使用中最大化技能文档明确给出了集成方式 - **与 /benchmark 配对**验证性能基线——/benchmark 提供 LCP/CLS/INP 等指标的 Before/After 对比[skills/benchmark/SKILL.md](https://link.gitcode.com/i/5c9754622a7f42e47a705b60be4001bf) - **与 /canary-watch 配对**实现部署后自动监控——/canary-watch 在发布后循环监控 URL 的 HTTP 状态、控制台错误、网络失败、性能回归、关键内容h1/nav/footer/CTA、API 健康、静态资源与 SSE 流并支持 --interval 5m --duration 2h 持续盯梢模式与 --compare 双环境对比模式[skills/canary-watch/SKILL.md](https://link.gitcode.com/i/4599f934602a37fc8924bd6c160fdba3) - **嵌入 Pull Request 工作流**——评审触及前端代码的 PR 时自动执行把页面真的能用吗沉淀为评审的一等公民。 由此形成的理想发布闭环是部署到 staging → /browser-qa 四阶段全量验证 → /benchmark 性能基线对比 → 确认无阻塞问题后发布 → /canary-watch 持续监控金丝雀窗口 → 异常触发阈值告警HTTP≠200、LCP4s、控制台错误数5 等【免费下载链接】ECCThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.项目地址: https://gitcode.com/GitHub_Trending/ev/ECC创作声明:本文部分内容由AI辅助生成(AIGC),仅供参考