The ai-validator library helps to extract structured data from the output text of language models.
Validate identifier/keywords name
Another JSON Schema Validator
Validate plugin/preset options
Additional JSON-Schema keywords for Ajv JSON validator
JSON AI Validator NPM Package
Decorator-based property validation for classes.
Another JSON Schema Validator
String validation and sanitization
AI hallucination validation layer for HoloScript - prevents invalid AI-generated code from breaking user workflows
Ajv class for JSON Schema draft-04
Express middleware for the validator module.
Object schema validation
Custom error messages in JSON Schemas for Ajv validator
Validate form asynchronous
validate form asynchronous
Parser/validator for OpenAPI 3.x definitions
TypeScript definitions for validator
Automatically validate API requests and responses with OpenAPI 3 and Express.
Format validation for Ajv v7+
A library for validating credit card fields
The ajv-8 based validator for @rjsf/core
Sanity template validator for remote templates
Provides a fast, pretty robust e-mail validator. Only checks form, not function.
A fast CLI tool to scan codebases for TODO comments and output them in multiple formats
派生宏 #[derive(Validate)] 的实现，用于声明式字段校验
Validator sets pallet
Primitives for validator sets
Suggests validations and associations for ActiveRecord models
AiGuardrails is a Ruby gem that helps developers validate, correct, and enforce schemas on AI-generated outputs. It ensures structured data, prevents JSON errors, and provides a foundation for adding safety filters and auto-correction in Rails apps, CLI tools, background jobs, and scrapers. Think of it as Guardrails.AI for Ruby.
Shared library used by the mysql_genius Rails engine and the mysql_genius-desktop standalone app. Contains the SQL validator, query runner, database analyses, and AI services, all of which take an explicit connection abstraction (no globals, no ActiveRecord dependency).
Validate that your Active Record models comply with legal policies, verified by AI.
GitHub-specific swarm pipeline (finder/fixer/validator) for brain-modeled agentic AI
Evilution is a mutation testing tool for Ruby. It validates test suite quality by making small code changes and checking if tests catch them. AI-agent-first design with JSON output, diff-based targeting, and coverage-based filtering.
Belief validation, evidence accumulation, and reality coherence for brain-modeled agentic AI
rails-ai-context turns your running Rails app into the source of truth for AI coding assistants. Instead of guessing from training data or stale file reads, agents query 38 live tools (via MCP server or CLI) to get your actual schema, associations, routes, inherited filters, conventions, and test patterns. Semantic validation catches cross-file errors (wrong columns, missing partials, broken routes) before code runs — so AI writes correct code on the first try. Auto-generates context files for Claude Code, Cursor, GitHub Copilot, OpenCode, and Codex CLI. Works standalone or in-Gemfile.
AIRecordFinder converts natural language into validated, schema-aware and tenant-safe ActiveRecord queries via an AI-generated JSON DSL.
RSpec::Llama is a testing framework that allows developers to easily configure, run, and validate AI models such as OpenAI's GPT models, Llama, and others within the RSpec ecosystem. With a focus on simplicity and extensibility, RSpec::Llama provides: - A standardized approach to configuring different AI models with customizable parameters. - Runners to execute model interactions and capture responses seamlessly. - Comprehensive assertion types to validate model outputs against expected patterns. Whether you are developing AI-powered applications or simply need a reliable way to test various AI models' outputs, RSpec::Llama offers an all-in-one solution that integrates smoothly into your existing RSpec setup.
A Jekyll plugin that automatically generates and validates domain-profile.json files according to the AI Domain Data Standard v0.1.1. The plugin creates the file at .well-known/domain-profile.json during site generation and provides Liquid tags for accessing domain data in your templates.
Discover, validate, and execute skills for AI agents via the SkillRouter API. One API to give your agents access to 1,000+ tools.
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