changeset-validation
This skill validates changesets in the openai-agents-js repository by comparing them against git diffs using LLM judgment.
Identity proven by GitHub's verified organisation badge (openai)
- Agents
- Codex
- License
- MIT (permissive)
- Pin
- 05241c7pinned Oct 9, 2026
- Context cost
- about 540 tokenswhen the skill loads
- GitHub stars
- 3,899on openai/openai-agents-js
- Scripts
- 5 scripts
What it does
“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.”
Generated summary from the skill's own text
This skill validates changesets in the openai-agents-js repository by comparing them against git diffs using LLM judgment. It ensures changesets correctly reflect package modifications, follow repository versioning rules, and comply with changeset file conventions. The skill generates a structured validation prompt with context that can run locally or in CI pipelines.
When to use it
- Changesets need validation after packages or .changeset files are modified
- Verifying PR changeset compliance and appropriate version bump levels
- Ensuring experimental features labeled as preview maintain patch-level bumps
- Validating changeset rules are consistently applied across local and CI workflows
When not to
- No changeset files exist or no package changes occurred
- Applying automated version bumps without human review of changes
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add openai/openai-agents-js --skill changeset-validationInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install openai/openai-agents-js changeset-validation@05241c7aa3d5629acc7407dd8ee1105637fe0369Installs the commit we checked (05241c7).
Copy by hand
Download the folder at 05241c7 and put it in .claude/skills/changeset-validation for Claude Code and in .agents/skills/changeset-validation for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "changeset-validation" by OpenAI. Source, pinned to commit 05241c7aa3d5629acc7407dd8ee1105637fe0369: https://github.com/openai/openai-agents-js/tree/05241c7aa3d5629acc7407dd8ee1105637fe0369/.agents/skills/changeset-validation 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/changeset-validation/ for Claude Code and .agents/skills/changeset-validation/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/openai/changeset-validation
SKILL.md at the pin
--- 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: ```bash 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: ```bash 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. ## Branch-level changeset rule (do not skip) - If any `.changeset/*.md` file is already present in the current branch diff, treat it as the active changeset. **Do not add a new changeset file.** - Instead, **update the existing changeset file** by rewriting its summary to reflect the **primary change relative to `main`**. Do not try to capture every incremental update. - Keep the summary at **one line**; replace the line as needed rather than appending. If you must include multiple points, compress them into a single line. ## 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`
From openai/openai-agents-js at 05241c7, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.
View SKILL.md on GitHub at 05241c7Files
- SKILL.md2.4 KB · 35bd4aab8c0a
- agents/
- openai.yaml276 B · 6da852493aaf
- references/
- validation-prompt.md4.6 KB · f61d2de734ae
- scripts/
- changeset-assign-milestone.mjs7.1 KB · 7b25e779269f
- changeset-prompt.mjs14 KB · ac99073c91fb
- changeset-prompt.test.mjs7.9 KB · c2b212d94af2
- changeset-validation-result.mjs1.7 KB · 5bed2cc683c9
- run-fixtures.sh5.0 KB · 072638890146
8 files, 43 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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