kernel-knowledge
kernel-knowledge is a Doc lookup & research skill for AI agents, published by windog-labs in the edge-fm-x repository on GitHub. Skillspace rates kernel-knowledge D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when optimizing GPU kernels with Humanize or Codex and the agent should consult the local kernel knowledge pack before planning, choosing optimization directions, or doing plateau research. Covers code-first framework/topic lookup, source provenance, baseline-derived candidates, and user-directed kernel stacks.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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