gpu-kernel-fallback-policy
gpu-kernel-fallback-policy is an MLOps & model serving skill for AI agents, published by candle-org in the candle repository on GitHub. Skillspace rates gpu-kernel-fallback-policy D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Mandatory policy for all GPU/NPU backend work: never fall back to CPU, use on-device composite workarounds, preserve native kernel entry points, and document issues in docs/known-kernel-issues.md.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 42
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
- 93 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.