neuron-evaluation-engineer

neuron-evaluation-engineer is an LLM evaluation & observability skill for AI agents, published by neuron-core in the neuron-ai repository on GitHub. Skillspace rates neuron-evaluation-engineer F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving evaluator discovery, output configuration, result analysis, or building custom assertions.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
2,020

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.

Our review

Architecture
87 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 2 other repositories, in 0 collections

What the scanner flagged

  • references sensitive credential env

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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