benchmark
benchmark is an MLOps & model serving skill for AI agents, published by TongmingLAIC in the AKO4X repository on GitHub. Skillspace rates benchmark C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Reference for the active benchmark harness — what it IS and how it behaves (the active benchmark is flashinfer-bench). Covers config.toml structure (`[solution]`/`[build]`/`[benchmark]` tables), the status enum, the workload / fresh-inputs model, reference-baseline + scoring mechanics, tolerance keys, TVM-FFI builder link limits, and the silent-skip cascade. Invoke whenever you decode a bench status string, hit an unfamiliar config.toml field, suspect "correctness passed but the headline is implausible", or need to know what's frozen before proposing a bench edit — do NOT guess field or status semantics. Bench commands and noise methodology (A/B compare, variance check, drift cancellation) live in the `bench` skill.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 60
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
- Structured: ships references or scripts
- 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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