neuron-structured-output
neuron-structured-output is an LLM app frameworks & APIs skill for AI agents, published by neuron-core in the neuron-ai repository on GitHub. Skillspace rates neuron-structured-output F (52/100) and it passed the safety scan; the rating is based on static analysis only.
Design and implement structured output classes for Neuron AI agents using SchemaProperty attributes and validation rules. Use this skill when the user mentions structured output, JSON schema extraction, data validation, output classes, DTOs for AI responses, extracting structured data from LLM, or configuring property schemas. Also trigger for any task involving SchemaProperty attribute, validation rules like NotBlank/Email/Url, nested objects, arrays of objects, enums, polymorphic types with anyOf, or the Validator class.
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- 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, so go by its current files.
Our review
- Architecture
- 78 / 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. Building with the public Neuron AI framework
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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