You clone a repo, open it in your editor, and your AI assistant starts indexing it. You install a Claude skill or an MCP server someone shared. You add a dependency. Every one of those is a moment where something untrusted touches your machine, and almost nobody runs a check first. SecKit is the pre-flight you run before any of it: one script, every platform.

You committed an API key by accident. You notice, delete the line, commit again, and push. Crisis averted, right? No. That key is still sitting in your git history, one git log -p away from anyone who clones the repo. A new commit only adds a layer on top. It never removes the old one.

You’re debugging a failing API call. Frustrated, you paste your key straight into the chat with GitHub Copilot or Claude to get a faster answer. Feels harmless, right? It’s not. And the problem goes deeper than you think, your AI assistant might already be reading your .env file without you even knowing.

Ever wished you could delegate your coding tasks and watch them get done while you focus elsewhere? That’s exactly what happened when I assigned an issue to GitHub Copilot coding agent. From identifying the problem to drafting a pull request and running checks, it handled the entire workflow, efficiently and autonomously. Here’s how it turned a routine fix into a hands-free solution that saved me hours.