paper-benchmark-execution
paper-benchmark-execution is an Execution & autonomous loops skill for AI agents, published by albumentations-team in the benchmark repository on GitHub. Skillspace rates paper-benchmark-execution D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Executes the paper benchmark plan for RGB, multichannel, DataLoader, and video benchmarks. Use when the user mentions the paper benchmark, deadline plan, machine matrix, RGB micro, multichannel, DataLoader, video GPU, c4/c4d/g2 machines, or what to run next.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 95
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
- 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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