Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/openai/openai-agents-js/tree/main/.agents/skills/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.mdto 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-actionwith 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.mdto 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.
Branch-level changeset rule (do not skip)
- If any
.changeset/*.mdfile 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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
openai-knowledge
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
final-release-review
Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvement opportunities, and risks before releasing openai-agents-js.
examples-auto-run
Run examples:start-all in auto mode with parallel execution, per-script logs, and start/stop helpers.
implementation-strategy
Decide how to implement runtime and API changes in openai-agents-js before editing code. Use when a task changes exported APIs, runtime behavior, schemas, tests, or docs and you need to choose the compatibility boundary, whether shims or migrations are warranted, and when unreleased interfaces can be rewritten directly.
docs-sync
Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/. Use when asked to audit doc coverage, sync docs with code, or propose doc updates/structure changes. Only update English docs (docs/src/content/docs/**) and never touch translated docs under docs/src/content/docs/ja, ko, or zh. Provide a report and ask for approval before editing docs.
pnpm-upgrade
Keep pnpm current: run pnpm self-update/corepack prepare, align packageManager in package.json, and bump pnpm/action-setup + pinned pnpm versions in .github/workflows to the latest release. Use this when refreshing the pnpm toolchain manually or in automation.
Didn't find tool you were looking for?