quark-torch-model-intake
quark-torch-model-intake is an MLOps & model serving skill for AI agents, published by amd in the Quark repository on GitHub. Skillspace rates quark-torch-model-intake D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Inspect a target model and prepare metadata for Quark PTQ planning. Use when the user needs model path validation, architecture detection, quantization target discovery, layer counting, risk assessment, or transformer compatibility checks before planning PTQ. Trigger for "analyze my model", "check this model", "what architecture is this", "can Quark quantize X", "is this model supported", or when any quantization step needs model facts that are missing.
- 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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