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Agent Lint

Lint your Claude Code, Cursor, Codex, MCP, and agent configs

Agent Lint is an open-source linter for AI coding-agent configuration. It validates Claude Code, Cursor, Codex, AGENTS.md, agent skills, plugins, and MCP configuration with ~300 rules. Built in Rust, it supports configurable severity and suppression, targeted checks, GitHub Actions integration, and prebuilt binaries for Linux and macOS.

Top comment

Howdy folks 👋 I built Agent Lint because coding-agent configuration is starting to feel like a real software surface of its own. Claude Code, Cursor, Codex, MCP, AGENTS.md, skills, plugins, and project instructions are getting increasingly powerful, but they’re also becoming easier to misconfigure in subtle ways. I wanted the equivalent of a compiler/linter sanity check for this new layer of the stack. Agent Lint now has roughly 300 rules and is fully open source. A fun detail: the project itself was built 100% with Claude, including architecture, implementation, tests, refactoring, documentation, and much of the rule design. So Claude helped build a tool that now lints Claude configuration. 🙂 I’d especially love feedback on: • configuration patterns I’m missing • rules that are too strict or too lenient • false positives • additional Claude Code, Cursor, Codex, MCP, or AGENTS.md checks that would be useful GitHub issues and contributions are very welcome. Thanks for taking a look!

About Agent Lint on Product Hunt

Lint your Claude Code, Cursor, Codex, MCP, and agent configs

Agent Lint was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #102 on the daily leaderboard. Agent Lint is an open-source linter for AI coding-agent configuration. It validates Claude Code, Cursor, Codex, AGENTS.md, agent skills, plugins, and MCP configuration with ~300 rules. Built in Rust, it supports configurable severity and suppression, targeted checks, GitHub Actions integration, and prebuilt binaries for Linux and macOS.

On the analytics side, Agent Lint competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Agent Lint performed against the three products that launched closest to it on the same day.

Who hunted Agent Lint?

Agent Lint was hunted by Sergey Zhupanov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Agent Lint including community comment highlights and product details, visit the product overview.