design, validate, launch, and monitor castform post-training runs from codex.
Install
- 1Add it in ChatGPT
Open Plugins in the ChatGPT sidebar (web or desktop), search for “castform” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.
Skills 7
- design-environment
Design a benchmax environment, its ordered dataset, tools, and explicit reward shape for a Castform project.
- generate-data
Prepare, clean, generate, or reference the data used by a Castform environment from project-owned Python scripts.
- launch-run
Review, bundle, upload, and explicitly launch a Castform GPU training run from the project script.
- setup
One-time bootstrap for a new Castform project — install the Castform CLI and scaffold the Codex guide, skills, and starter environment. Run this before any other Castform skill.
- train-sft
Build a validated benchmax-sft-v1 dataset from existing labeled conversations, upload it, and explicitly launch a supervised finetuning run — no environment, rewards, or rollouts.
- verify-environment
Run and inspect the script-owned local two-sibling validation before spending GPU credits.
- view-progress
Monitor a Castform run with status, scalar, rollout, and log commands, then diagnose failures or reward drift.
Things to ask
- “Set up this project for Castform.”
- “Help me design a Castform environment.”
- “Validate and launch my Castform run.”
Disconnect or uninstall
- 1In ChatGPT
Disconnect an account in Settings → Apps or Plugins. To remove the plugin itself, open castform in the Plugin Directory and select Uninstall plugin. Uninstalling can disconnect every account connected through it, and plugins your workspace installs may not offer the option.
- 2In Codex
Run /plugins in the Codex CLI, select the plugin and uninstall it, or press Space to turn it off.
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