AI 测试盲区补偿

AI在生成测试用例时存在六大系统性盲区：时序依赖、并发冲突、资源竞争、状态累积、数据一致性、第三方集成差异。评审完AI生成的用例之后，必须用此技能做盲区补盲——因为AI几乎一定会漏掉这些。如果你心里觉得"好像还差点什么但说不上来"，这就是答案。每个盲区维度至少补2-3个场景，总补盲数12-18个。本技能属于 QA Test Skills 技能集（49 个技能之一），完整工作流体验需安装全套：npx skills add Kokxi/qa-test-skills

as observed 2026-09-02T06:49:02.991Z

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Identifier: qa-ai-blindspot-compensation
Source: ClawHub
Version observed: 1.7.6
Source repository: not published
Repository observation: No source repository listed
First observed here: 2026-08-28T22:54:40.332Z
Observations recorded: 3
Installs (reported upstream): 2
Weekly downloads (upstream): 778

Observation history

2026-09-02T06:49:02.991Z

Fields that differed: changelog description displayName latestVersion summary

Field	Before	After
`changelog`	"1.7.5: 版本号升级"	"显示名改中文"
`description`	"AI在生成测试用例时存在六大系统性盲区：时序依赖、并发冲突、资源竞争、状态累积、数据一致性、第三方集成差异。评审完AI生成的用例之后，必须用此技能做盲区补盲——因为AI几乎一定会漏掉这些。如果你心里觉得\"好像还差点什么但说不上来\"，这就是答案。每个盲区维度至少补2-3个场景，总补盲数12-18个。"	"AI在生成测试用例时存在六大系统性盲区：时序依赖、并发冲突、资源竞争、状态累积、数据一致性、第三方集成差异。评审完AI生成的用例之后，必须用此技能做盲区补盲——因为AI几乎一定会漏掉这些。如果你心里觉得\"好像还差点什么但说不上来\"，这就是答案。每个盲区维度至少补2-3个场景，总补盲数12-18个。本技能属于 QA Tes
`displayName`	"qa-ai-blindspot-compensation"	"AI 测试盲区补偿"
`latestVersion`	"1.7.5"	"1.7.6"
`summary`	"AI在生成测试用例时存在六大系统性盲区：时序依赖、并发冲突、资源竞争、状态累积、数据一致性、第三方集成差异。评审完AI生成的用例之后，必须用此技能做盲区补盲——因为AI几乎一定会漏掉这些。如果你心里觉得\"好像还差点什么但说不上来\"，这就是答案。每个盲区维度至少补2-3个场景，总补盲数12-18个。"	"AI在生成测试用例时存在六大系统性盲区：时序依赖、并发冲突、资源竞争、状态累积、数据一致性、第三方集成差异。评审完AI生成的用例之后，必须用此技能做盲区补盲——因为AI几乎一定会漏掉这些。如果你心里觉得\"好像还差点什么但说不上来\"，这就是答案。每个盲区维度至少补2-3个场景，总补盲数12-18个。本技能属于 QA Tes

2026-08-31T05:56:02.339Z

Fields that differed: changelog latestVersion

Field	Before	After
`changelog`	"- Removed redundant file skill-card.md for cleaner repository structure.\n- No changes to logic, configuration, or user-facing documentation content.\n- Version bump to 1.7.0	"1.7.5: 版本号升级"
`latestVersion`	"1.7.0"	"1.7.5"

Correction

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