The ESLint of AI coding assistant instructions — audit, validate, and fix instruction files for GitHub Copilot, Cursor, Windsurf, Aider, Continue.dev, Claude Code, and Gemini CLI. Below are 9 llm eval & observability apps with similar functionality to instruction-lint, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Lint, score, and optimize AI agent configuration files (CLAUDE.md, AGENTS.md, Cursor rules)
ai-skill-lint is an open-source command-line tool that lints and validates AI instruction files, including skills, prompts, and agent specifications. It helps AI developers and prompt engineers maintain consistency and correctness in their agent workflows. The tool supports configurable rules and integrates with modern AI development pipelines.
Run clang-format and clang-tidy on a batch of files.
agentlint is an open-source CLI tool that provides real-time quality guardrails and linting for AI coding agents. It helps developers maintain code quality and safety by integrating with agentic coding workflows and enforcing best practices.
lintlang is an open-source CLI tool for static linting of AI agent configurations, tool descriptions, and system prompts. It enables prompt engineers and AI developers to validate and improve prompt quality without relying on LLM inference during CI.
LLM-agnostic code review, security scanning, test generation, and documentation — as CLI, MCP server, GitHub Action, or pre-commit hook.
Manage, retrieve, and compact AI project instructions, lessons learned, and contextual rules for LLM workflows.
EU AI Act compliance: scan, attest, document — from your IDE. Source-available, MCP-native, AI-assisted.
ESLint for AI prompts. A static analyzer for LLM system prompts, templates, and SDK call sites. Zero LLM calls.
