I’ve been working on Agentique, a free and open-source project for sharing, packaging, and validating AI agent resources.

The problem I kept running into is that agent resources are often shared as loose repos, prompt files, config folders, or zip files. That works when you already trust the author, but it gets harder when you want to inspect something before reusing it.

Before running or adapting an agent resource, I usually want to know:

• What runtime does it expect?
• What tools or APIs does it call?
• What secrets or permissions does it require?
• What files are included?
• Is there a manifest?
• Can I inspect the metadata without executing the package?

That led me to build a companion repo with a few developer-facing pieces:

• Public schemas
• A validator
• Starter examples
• A GitHub Action
• Readback tooling for resource metadata

The goal is not to build a closed marketplace. I’m more interested in making agent resources easier to package, inspect, and validate in a way that others can audit or reuse.

Agentique.io is the website side of the project, where resources can be browsed and shared. The companion repo contains the tools developers can use directly.

It’s still early, but the project is usable now. I’d love feedback from anyone building, publishing, or reusing AI agent templates.

What metadata would you want to see before trusting an agent resource?