prompt-validation

A toolkit for validating and structuring Markdown documents. mdschema provides TypeScript libraries to transform unstructured Markdown into typed, validated, and predictable data.

Evidence-backed validation framework for AI agents, Cursor skills, MCP orchestrations, and agentic repos. Structured rule catalog, verified evidence standard, and certification output. Free, open-source, MIT.

A pure-Python static contract validator for prompt templates — three passes, zero dependencies, catches breaking variable changes before they reach production.

SpecGuard is a command-line tool that turns AI safety policies and behavioral guidelines into executable tests. Think of it as unit testing for your AI's output. Instead of trusting that your AI will follow the rules defined in a document, SpecGuard enforces them.

Prompt Engineering Tool: Anti-Ambiguity × Web Pre-Search × ELO Ranking — forge production-grade AI prompts for Claude, GPT, and agent systems

Deterministic first-turn ML prompt validator and Codex Skill: grammar completeness, contradiction detection, unresolved decisions, and verifiable acceptance criteria.

AI Prompt Security Detector - Detect unsolvable traps in prompts (self-reference paradox, undecidable problems, infinite recursion). Protect your LLM applications from prompt vulnerabilities.

Python QA framework for testing blockchain workflows and crypto APIs with pytest automation and scenario validation

CLI for AI prompt testing, LLM cost optimization, prompt validation, and CI safety checks before production.

A production-style FastAPI service that enforces structured, safe, and deterministic LLM outputs using versioned prompts, strict schema validation, and automated retry with repair prompts.

🛡️ Enforce AI behavior guidelines with SpecGuard, a tool that turns policies into executable tests for reliable and scalable AI output management.