name: changeset-validation description: Validate changesets in openai-agents-js using LLM judgment against git diffs (including uncommitted local changes). Use when packages/ or .changeset/ are modified, or when verifying PR changeset compliance and bump level.

Changeset Validation

Overview

This skill validates whether changesets correctly reflect package changes and follow the repository rules. It relies on the shared prompt in references/validation-prompt.md so local Codex reviews and GitHub Actions share the same logic. Experimental or preview-only feature additions that are explicitly labeled as such in the diff may remain a patch bump when they do not change existing behavior. Major bumps are only allowed after the first major release; before that, do not use major bumps for feature-level changes.

Quick start

Local (Codex-driven):

1. Run:

   pnpm changeset:validate-prompt
   

2. Apply the rules from references/validation-prompt.md to the generated prompt.
3. Respond with a JSON verdict containing ok/errors/warnings/required_bump (English-only strings).

CI (Codex Action):

1. Run:

   pnpm changeset:validate-prompt -- --ci --output .github/codex/prompts/changeset-validation.generated.md
   

2. Use openai/codex-action with the generated prompt and JSON schema to get a structured verdict.

Workflow

1. Generate the prompt context via pnpm changeset:validate-prompt.
2. Apply the rules in references/validation-prompt.md to judge correctness.
3. Provide a clear verdict and required bump (patch/minor/major/none).
4. If the changeset needs edits, update it and re-run the validation.

Shared source of truth

• Keep the prompt file as the single source of validation rules.
• Keep the script lightweight: it should only gather context and emit the prompt.

Resources

• references/validation-prompt.md