nemo-evaluator-sdk
nemo-evaluator-sdk is an LLM evaluation & observability skill for AI agents, published by davila7 in the claude-code-templates repository on GitHub. Skillspace rates nemo-evaluator-sdk B (80/100) and it passed the safety scan; a judge model has also reviewed it.
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 30,694
Placed #3 of 6 in the judged category final for LLM evaluation & observability.
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
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for LLM evaluation & observability.
- Trigger
85 85 - Instructions
87 87 - Specificity
88 88 - Safety
75 75 - Disclosure
65 65 - Maintenance
75 75
Thorough multi-backend workflows across local, Slurm, and cloud with concrete configs, but it never addresses sandboxing for benchmarks that execute generated code.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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