porting-6-bench
porting-6-bench is an MLOps & model serving skill for AI agents, published by handy-computer in the transcribe.cpp repository on GitHub. Skillspace rates porting-6-bench D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Runs the publication performance benchmark for a ported model variant and scripts the hypothesis → change → bench → accept-or-revert loop. Use after porting-5-quants has produced the full shipped quant matrix. Input: full quant matrix at models/<variant>/, and the two publication rigs (Apple M4 Max, AMD Ryzen 7 PRO 4750U) that every shipped model card carries. Output: reports/perf/<machine>/<name>_<variant>_<backend>.json per bench run on EACH rig, scoped to the cells that ship in docs/models/<variant>.md. Every accepted performance iteration is followed by a validate.py all gate so a perf change cannot land while breaking ref-dtype numerics.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 1,914
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
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