inference-engineer
inference-engineer is an MLOps & model serving skill for AI agents, published by Rockielab in the rockie-claude repository on GitHub. Skillspace rates inference-engineer C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Productize an open-source model into a hosted inference endpoint the researcher (or their agent) can call. Picks the right hardware, the right serving stack (vLLM / Triton / TEI / BentoML), wraps it in an OpenAI-compatible gateway (LiteLLM) with per-tenant auth, exposes it as an MCP tool in chat, and runs a quality + latency + cost probe so the user knows what they actually shipped. Triggers on `/inference-engineer [model-url]`, or on natural intent like "host this model", "serve inference for X", "deploy model Y", "get me an API for Z", "I want to reproduce paper P on a small GPU", "what do I do with this trained model".
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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