aiter-op-test
aiter-op-test is a Test authoring & frameworks skill for AI agents, published by ROCm in the aiter repository on GitHub. Skillspace rates aiter-op-test D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Standard structure for aiter op_tests under op_tests/test_*.py — @benchmark + run_perftest candidate loop, a torch reference, a final markdown summary table, a __main__ guard so the module is importable, and faithful reproduction of the real model call (output buffer, layout, shapes). Use whenever writing, rewriting, or extending any aiter unit/perf test, or adding model-derived shapes (e.g. DeepSeek-V4) to an existing one.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 497
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
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