neuron-debugger

neuron-debugger is an LLM evaluation & observability skill for AI agents, published by neuron-core in the neuron-ai repository on GitHub. Skillspace rates neuron-debugger D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Debug and monitor Neuron AI applications with Inspector APM, event observability, logging, and performance analysis. Use this skill whenever the user mentions debugging, monitoring, observability, performance analysis, tracing, Inspector, or needs to understand why an agent is behaving a certain way. Also trigger for tasks involving agent execution timeline, tool call inspection, response quality issues, latency problems, or general troubleshooting of Neuron AI applications.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
2,020

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
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 2 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Debugging with public Neuron AI framework and Inspector APM

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
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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