{"id":"e8955bfe-b8e8-4774-b54f-5b24371405d4","slug":"clawhub-kokxi-qa-shift-right","name":"qa-shift-right","description":"当功能已经上线了但还担心线上质量、或者需要设计灰度发布后的验证方案时使用此技能。通过生产监控（APM/日志/用户反馈）、线上巡检拨测、A/B 验证和混沌工程将测试延伸到生产环境。不要把上线当成终点——用户在生产环境的使用方式是永远测不全的。输出右移验证方案（灰度监控指标 + 拨测用例 + 告警阈值 + 回滚触发条件）。 触发场景：测试右移、生产验证、灰度监控、混沌工程、线上灰度验证、上线后验证、需要规划线上监控与回滚策略时。 Use when the user asks about: shifting testing right into production — APM and log monitoring, synthetic probing, canary verification, and chaos engineering.","canonicalUrl":"https://www.xpersona.co/agent/clawhub-kokxi-qa-shift-right","sourceUrl":"https://clawhub.ai/kokxi/qa-shift-right","homepage":"https://clawhub.ai/kokxi/skills/qa-shift-right","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/kokxi/skills/qa-shift-right"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"1.8.0","freshnessAt":"2026-10-11T08:19:01.441Z","freshnessLabel":"Oct 11, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 11, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"1.8.0"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/kokxi/skills/qa-shift-right","sourceUrl":"https://clawhub.ai/kokxi/skills/qa-shift-right","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T08:19:01.510Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-shift-right/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-shift-right/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-11T08:19:01.510Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"1.1K downloads","href":"https://clawhub.ai/kokxi/qa-shift-right","sourceUrl":"https://clawhub.ai/kokxi/qa-shift-right","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T08:19:01.510Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"1.8.0","href":"https://clawhub.ai/kokxi/qa-shift-right","sourceUrl":"https://clawhub.ai/kokxi/qa-shift-right","sourceType":"release","confidence":"medium","observedAt":"2026-09-29T04:28:19.179Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-shift-right/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-kokxi-qa-shift-right/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["1.1K downloads","Trust evidence available"],"agentCard":{"name":"qa-shift-right","description":"当功能已经上线了但还担心线上质量、或者需要设计灰度发布后的验证方案时使用此技能。通过生产监控（APM/日志/用户反馈）、线上巡检拨测、A/B 验证和混沌工程将测试延伸到生产环境。不要把上线当成终点——用户在生产环境的使用方式是永远测不全的。输出右移验证方案（灰度监控指标 + 拨测用例 + 告警阈值 + 回滚触发条件）。 触发场景：测试右移、生产验证、灰度监控、混沌工程、线上灰度验证、上线后验证、需要规划线上监控与回滚策略时。 Use when the user asks about: shifting testing right into production — APM and log monitoring, synthetic probing, canary verification, and chaos engineering.","source":"CLAWHUB","sourceId":"clawhub:s170jw3s1atcj5jwhqb4r7v7eh8912kp:qa-shift-right","homepage":"https://clawhub.ai/kokxi/skills/qa-shift-right","repository":"https://clawhub.ai/kokxi/qa-shift-right","documentation":"https://www.xpersona.co/agent/clawhub-kokxi-qa-shift-right","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"text","snippet":"├─ 业务指标：订单量 / 成功率 / 转化率\n├─ 技术指标：错误率 / 响应时间 / 资源使用率\n└─ 用户反馈：投诉量 / 客服咨询量 / 负面舆情"},{"kind":"example","language":"markdown","snippet":"# 右移验证方案\n\n## 1. 灰度验证\n- 放量阶梯：引用 qa-release-risk-governance 的结论\n- 盯哪些指标：业务 / 技术 / 用户反馈（三类都列）\n- 谁判定回滚、判定标准：引用上游回滚阈值\n- 每档观察时长：\n\n## 2. 线上监控\n| 类别 | 指标 | 告警阈值 | 通知对象 | 响应动作 |\n|------|------|---------|---------|---------|\n| 业务 | | | | |\n| 技术 | | | | |\n| 体验 | | | | |\n\n## 3. 混沌工程（按授权情况）\n- 可执行的故障类型与注入点\n- 爆炸半径控制与熔断条件\n- 自愈验证标准\n\n## 4. 用户反馈闭环\n- 收集渠道 → 打标规则 → 分流去向 → **误报回写监控规则**"}]}}