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changeset-validation

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.

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SKILL.md

Full skill instructions

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