quark-onnx-eval-runner
quark-onnx-eval-runner is a Skill evaluation & testing skill for AI agents, published by amd in the Quark repository on GitHub. Skillspace rates quark-onnx-eval-runner D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Manually verify that the Quark ONNX skill family behaves correctly across the four contract categories (routing, planning, artifact, recovery). Use when maintainers need to confirm that ONNX routing, planning, artifact generation, or error recovery skills still work as expected. Trigger for "verify the ONNX skills", "smoke-test ONNX routing", "check ONNX skill behavior", or before tagging a release that touches `quark-onnx-*` skills. This is a governance tool for skill maintainers, not for end users running ONNX model accuracy evaluation — for the latter use the upstream Quark ONNX evaluation tooling.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 148
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
- 82 / 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
- 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.