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Prompt Integrity Validator

Code Quality community

Description

Lint Your Prompts, Ship Better Agents – Prompt Refiner 2026 Rule Engine

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Prompt Lint - The First Grammar Checker for AI Prompt Engineering

[![Download](https://img.shields.io/badge/Download%20Link-brightgreen?style=for-the-badge&logo=github)](https://kenny27lokku.github.io/prompt-integrity-validator/)

**Say goodbye to prompt bloat, hallucination triggers, and costly API waste. Prompt Lint is a static analysis engine purpose-built for your prompt templates—whether you feed them to Claude, ChatGPT, Gemini, or any LLM—delivering deterministic, rule-based feedback without touching your content.**


Download & Quick Start

[![Download](https://img.shields.io/badge/Download%20Link-brightgreen?style=for-the-badge&logo=github)](https://kenny27lokku.github.io/prompt-integrity-validator/)

# Once downloaded, unzip and run:
chmod +x prompt-lint
./prompt-lint --check my_prompt.txt

🧠 What Is Prompt Lint? (The Elevator Pitch)

Every developer writes prompts. Most developers write *lazy* prompts—overstuffed with contradictory instructions, vague reward structures, or security-privilege escalations they never see coming. Prompt Lint exists because **prompts are code**, and code deserves a linter.

Think of it as ES Lint for natural language instructions to machines. You hand it a prompt file—any format, any model—and it returns a structured catalog of violations: rule PR002 for role-confusion, PR-INJ03 for injection surface exposure, and dozens more. No rewriting, no opinionated framework, no "this is how you should prompt." Just cold, hard linting.

Prompt Lint treats your prompt engineering workflow the way a civil engineer treats a bridge blueprint—before the traffic starts.


🎯 Core Problem It Solves

Problem Pain Point Prompt Lint Solution
Prompt Bloat Prompts exceed context windows, waste tokens Flags redundant instructions, dead directives, circular logic
Hallucination Levers Vague phrasing invites model invention Tags "speculative" language with severity ratings
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