vllm-bench
vllm-bench is an LLM evaluation & observability skill for AI agents, published by openinfer-project in the openinfer repository on GitHub. Skillspace rates vllm-bench D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Use vllm-bench to benchmark OpenAI-compatible or vLLM serving endpoints, especially multi-turn chat load tests. Use when the user asks for vllm bench, vllm-bench, multi-turn benchmark, chat serving benchmark, TTFT/TPOT/throughput measurement, concurrency sweep, load test, 压测, 多轮压测, or wants help installing, running --help, choosing flags, validating a local PegaInfer/vLLM server, saving JSON results, or interpreting vllm-bench metrics.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 686
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.