tune-golden
tune-golden is an MLOps & model serving skill for AI agents, published by cloudrift-ai in the emmy repository on GitHub. Skillspace rates tune-golden C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when the user asks to "tune the goldens", "update the golden configs", "re-tune the goldens", "run the golden sweep", "refresh golden matmul configs", "evaluate goldens and update", "tune/seed the dynamic goldens", or otherwise wants to re-tune the GOLDEN_CONFIGS matmul shapes (static and dynamic/.dynM symbolic-axis entries alike), A/B the greedy pick against the recorded golden, and record genuine improvements into the per-GPU golden YAML. Tunes the whole golden dataset, benches greedy-vs-golden per shape with `emmy tune` / `run --bench`, categorizes (better → replace, same → add, worse → leave), edits the goldens YAML by hand, and writes a findings report to plans/ — unlike tune-model, the target config is known here, so the report analyzes the offline/online prior's expectation against it (rank, per-knob misses, recommendations) plus workflow notes.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 66
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
- 94 / 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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