quark-torch-debug
quark-torch-debug is a System & environment troubleshooting skill for AI agents, published by amd in the Quark repository on GitHub. Skillspace rates quark-torch-debug D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnose failed Quark installation, PTQ execution, script generation, or export attempts. Use when the user reports an error, stack trace, invalid artifact, missing dependency, CUDA OOM, version mismatch, or unexpected PTQ results. Trigger for "Quark error", "PTQ failed", "quantization crashed", "CUDA out of memory", "import error", "model loading failed", "wrong results", any Python traceback mentioning quark/torch/transformers, or when the user pastes an error message related to Quark workflows.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 148
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
- 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
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