trtllm-serve-config-guide
trtllm-serve-config-guide is an MLOps & model serving skill for AI agents, published by NVIDIA in the TensorRT-LLM repository on GitHub. Skillspace rates trtllm-serve-config-guide C (77/100) and it passed the safety scan; a judge model has also reviewed it.
Generate a source-backed starting `trtllm-serve --config` YAML for basic aggregate single-node PyTorch serving, aligned with checked-in TensorRT-LLM configs and deployment docs. Preserves explicit latency / balanced / throughput objectives. Excludes disaggregated, multi-node, and non-MTP speculative configs.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 14,127
Placed #1 of 6 in the judged category final for MLOps & model serving.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. generates config for NVIDIA's public TensorRT-LLM serve tool
Judge review
Placed #1 of 6 in the judged category final for MLOps & model serving.
- Trigger
92 92 - Instructions
95 95 - Specificity
95 95 - Safety
85 85 - Disclosure
88 88 - Maintenance
92 92
Precisely scoped config generator with an exact-match-then-nearest-config search order and a trust_remote_code trust-boundary check baked into its validation list.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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