minicpm5-deploy-sglang
minicpm5-deploy-sglang is a Local & open models skill for AI agents, published by OpenBMB in the MiniCPM repository on GitHub. Skillspace rates minicpm5-deploy-sglang D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Serve MiniCPM5-1B via SGLang as an OpenAI-compatible HTTP server with RadixAttention prefix cache and built-in MiniCPM5 tool-call parsing. Use when the user asks for "SGLang", "RadixAttention", "prefix cache", batch evaluation, tool calling, or wants a high-concurrency NVIDIA-GPU server alternative to vLLM.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 9,858
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
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Serving a public model through the public SGLang server.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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