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changeset-validation

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Actualizado1 de mayo de 2026, 03:37

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.

Instalación

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Fuente

openai

openai/openai-agents-js

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Desarrolladores de softwareOcupaciones informáticas y matemáticas·SOC 15-1252

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SKILL.md

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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):

Run:
```
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:

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.

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

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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

Quick start

Local (Codex-driven):

Run:
```
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:

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.

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