optimize-benchmarks
optimize-benchmarks is a Runtime diagnostics & profiling skill for AI agents, published by JamieMason in the syncpack repository on GitHub. Skillspace rates optimize-benchmarks D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Iterative performance optimisation loop for syncpack-specifier. Runs benchmarks, identifies bottlenecks, applies optimisations, verifies tests pass and benchmarks improve, then repeats.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 2,073
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
- Scope
- Repo-internal: written for the repository it lives in. Optimizes this repo's own syncpack-specifier crate and benchmarks
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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