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Install in OpenClaw
/install qa-ai-blindspot-compensation
Description
AI盲区补偿，识别并补充AI系统性思考不足的维度。当需要确保测试覆盖时序、并发、资源竞争等AI易漏场景时激活。
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install qa-ai-blindspot-compensation - After installation, invoke the skill by name or use
/qa-ai-blindspot-compensation - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.3.0
- Major documentation update: SKILL.md now details the six key AI blind spots in testing (timing, concurrency, resource, state, data consistency, and 3rd-party integration), with concrete checklists and scenario examples for each.
- Clear guidelines and requirements are defined for supplemental test case generation: at least 2–3 new cases per blind spot, totaling 12–18 cases.
- Step-by-step workflow for blind spot identification, scenario creation, and case labeling is provided.
- Standardized output and traceability formats ensure all supplemental cases are uniquely identified and linked to original requirements and test cases.
- Comprehensive checklists and acceptance criteria included to support full coverage and quality assurance of blind spot compensation.
Metadata
Frequently Asked Questions
What is Qa Ai Blindspot Compensation?
AI盲区补偿，识别并补充AI系统性思考不足的维度。当需要确保测试覆盖时序、并发、资源竞争等AI易漏场景时激活。 It is an AI Agent Skill for Claude Code / OpenClaw, with 33 downloads so far.
How do I install Qa Ai Blindspot Compensation?
Run "/install qa-ai-blindspot-compensation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Qa Ai Blindspot Compensation free?
Yes, Qa Ai Blindspot Compensation is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Qa Ai Blindspot Compensation support?
Qa Ai Blindspot Compensation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Qa Ai Blindspot Compensation?
It is built and maintained by kokxi (@kokxi); the current version is v1.3.0.
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