op-test
op-test is a Test authoring & frameworks skill for AI agents, published by mindspore-ai in the akg repository on GitHub. Skillspace rates op-test D (69/100) and it passed the safety scan; the rating is based on static analysis only.
算子鲁棒性测试。针对已在特定 shape/dtype 下验证通过的算子，系统性地测试其在不同 shape、dtype 下的精度正确性和性能表现。直接导入已有代码文件构造变异输入，利用 akg_agents DevicePool 支持多卡并行。触发词：'测试算子'、'算子测试'、'鲁棒性测试'、'泛化性测试'、'robustness test'、'shape test'等。
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 255
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.