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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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/changeset-validation

SKILL.md

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):

Run:
bash
```
pnpm changeset:validate-prompt
```
Apply the rules from references/validation-prompt.md to the generated prompt.
Respond with a JSON verdict containing ok/errors/warnings/required_bump (English-only strings).

CI (Codex Action):

Run:

bash

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

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

Workflow

Generate the prompt context via pnpm changeset:validate-prompt.
Apply the rules in references/validation-prompt.md to judge correctness.
Provide a clear verdict and required bump (patch/minor/major/none).
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