run-benchmark
run-benchmark is an Embedded, IoT & robotics skill for AI agents, published by AgibotTech in the genie_sim repository on GitHub. Skillspace rates run-benchmark D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Launch a geniesim_benchmark task locally (typically inside the GUI Docker container) against a user-provided inference server, using the `geniesim benchmark run` CLI verb. Trigger: When the user asks to "run geniesim", "本地跑仿真", "启动仿真任务", "run a benchmark", "launch <some>_<config>.yaml", or wants to execute a benchmark task config (anything under `geniesim_benchmark/config/*.yaml`) against a remote inference host (ip:port).
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 1,141
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 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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