mooncake-api
mooncake-api is an MLOps & model serving skill for AI agents, published by kvcache-ai in the Mooncake repository on GitHub. Skillspace rates mooncake-api D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Help users work with the Mooncake Python APIs for distributed storage and high-performance data transfer. Use when working with Mooncake Store (distributed KV cache), Transfer Engine (RDMA/TCP transfers), service setup (master, metadata server), PyTorch tensors in the Store, zero-copy/buffer management, batch operations and replication, or Mooncake EP / Backend (Expert Parallelism). Trigger on questions about MooncakeDistributedStore, TransferEngine, put/get, put_tensor, register_buffer, ReplicateConfig, or the mooncake.store / mooncake.engine / mooncake.pg Python modules.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 5,834
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
- 90 / 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. Documents Mooncake's public Python APIs for storage/transfer, from its own repo.
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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