Built something like this for the v1.0 launch of RedwoodSDK in March; but it's a popularity graph (like the time scrubber on YouTube). I figured that it could be useful to myself, and others, to aggregate the information that people find most useful.
Gonna reply guy here because this is a paid thing. Agree with the author. Exposé was amazing. Here's an open alternative that I built, completely keyboard driven: https://github.com/peterp/cmdcmd/
I did not say that, what I said was: It's not like `act` because it's not a rewrite of the runner. It's the standard runner... So the one that actually runs GitHub Actions.
I have tried to use act many times, and many times I've failed.
P.S. pause on failure is also helpful for humans, but I'm trying to be realistic about where the future of programming is going...
Whilst you're waiting for it to come back, try out AGENT-CI (which is a project I built.), which runs GitHub Actions on your machine: https://agent-ci.dev. (Open source, etc.)
No, it's not like "act," because it uses the standard Github runner, the difference is that the control plane is an emulation of api.github.com, because of this we can do all kinds of nice things:
Caching in ~0 ms. Pause on failure, so you can let your AI agent fix it and retry without pushing.
Pleasure! Yeah it's just the standard runner - the only thing we've built is a duplicate control-pane, which is just HTTP. Since I have the standard runners source code it's pretty trivial for agents to know what to implement on the other end.
I built this because I treat CI as the last line of defense. Agents also need validation. They should use CI, and they shouldn't bother you unless everything is green!
GH Actions is usually in the top-5 expenses for dev-teams. Add agents to that mix? It'll easily double. It's the wrong tool for the right job: Slow boot, slow cache, retrieving logs is token expensive for agents, the list goes on...
So I built a tool with one amazing feature: live-reload for failures. Agent-CI is a local CI runner.
I tweaked the control pane and mounts to provide 0ms caching, insanely fast boots. When a step fails it pauses, provides the agent with the failure, and waits for the agent to fix and retry just that step.
It uses the standard GH Actions image (via Docker), but emulates the control pane via a local HTTP server. You don't have to change any of your existing GH workflows.