Skills/ClawHub/qa-ai-blindspot-compensation

qa-ai-blindspot-compensation@1.8.0

VERIFIED

Publisher claims: "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。 触发场景：还有什么没测到、AI漏了什么、补盲、全面覆盖、是不是不够、哪还没测、盲区分析、遗漏场景、时。 Use when the user asks about: compensating for known blind spots in AI-generated test cases — timing dependencies, concurrency conflicts, resource contention, state accumulation, data consistency, and third-party integration differences." Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher kokxi · joined 5 days agoInstalls 1,282Last detonated 5d ago
$clawhub install qa-ai-blindspot-compensation
WatchReport an issue

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-10-29 and scored it 91/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only

Static findings

MEDIUM
npx invocation of non-well-known packageSKILL.md:19 · npx invocation of non-well-known package — may execute untrusted codeFix: Pin versions and sources; vendor anything fetched at install time.
AST06

No other findings across 409 lines in 3 files.