codex-pr-body

作成者: openai

1つ以上のプルリクエストのタイトルと本文を更新します。

npx skills add https://github.com/openai/codex --skill codex-pr-body

Determining the PR(s)

When this skill is invoked, the PR(s) to update may be specified explicitly, but in the common case, the PR(s) to update will be inferred from the branch / commit that the user is currently working on. For ordinary Git usage (i.e., not Sapling as discussed below), you may have to use a combination of git branch and gh pr view <branch> --repo openai/codex --json number --jq '.number' to determine the PR associated with the current branch / commit.

PR Body Contents

When invoked, use gh to edit the pull request body and title to reflect the contents of the specified PR. Make sure to check the existing pull request body to see if there is key information that should be preserved. For example, NEVER remove an image in the existing pull request body, as the author may have no way to recover it if you remove it.

It is critically important to explain why the change is being made. If the current conversation in which this skill is invoked has discussed the motivation, be sure to capture this in the pull request body.

The body should also explain what changed, but this should appear after the why.

Limit discussion to the net change of the commit. It is generally frowned upon to discuss changes that were attempted but later undone in the course of the development of the pull request. When rewriting the pull request body, you may need to eliminate details such as these when they are no longer appropriate / of interest to future readers.

Avoid references to absolute paths on my local disk. When talking about a path that is within the repository, simply use the repo-relative path.

Avoid references to confidential information including but not limited to codenames or OpenAI-internal URLs.

It is generally helpful to discuss how the change was verified. That said, it is unnecessary to mention things that CI checks automatically, e.g., do not include "ran just fmt" as part of the test plan. Though identifying the new tests that were purposely introduced to verify the new behavior introduced by the pull request is often appropriate.

Make use of Markdown to format the pull request professionally. Ensure "code things" appear in single backticks when referenced inline. Fenced code blocks are useful when referencing code or showing a shell transcript. Also, make use of GitHub permalinks when citing existing pieces of code that are relevant to the change.

Make sure to reference any relevant pull requests or issues, though there should be no need to reference the pull request in its own PR body.

If there is documentation that should be updated on https://developers.openai.com/codex as a result of this change, please note that in a separate section near the end of the pull request. Omit this section if there is no documentation that needs to be updated.

Working with Stacks

Sometimes a pull request is composed of a stack of commits that build on one another. In these cases, the PR body should reflect the net change introduced by the stack as a whole, rather than the individual commits that make up the stack.

Similarly, sometimes a user may be using a tool like Sapling to leverage stacked pull requests, in which case the base of the PR may be the a branch that is the head of another PR in the stack rather than main. In this case, be sure to discuss only the net change between the base and head of the PR that is being opened against that stacked base, rather than the changes relative to main.

Sapling

If .git/sl/store is present, then this Git repository is governed by Sapling SCM (https://sapling-scm.com).

In Sapling, run the following to see if there is a GitHub pull request associated with the current revision:

sl log --template '{github_pull_request_url}' -r .

Alternatively, you can run sl sl to see the current development branch and whether there is a GitHub pull request associated with the current commit. For example, if the output were:

  @  cb032b31cf  72 minutes ago  mbolin  #11412
╭─╯  tui: show non-file layer content in /debug-config
│
o  fdd0cd1de9  Today at 20:09  origin/main
│
~
  • @ indicates the current commit is cb032b31cf
  • it is a development branch containing a single commit branched off of origin/main
  • it is associated with GitHub pull request #11412

openaiのその他のスキル

user-context
openai
Data Analyticsプラグインの永続的なソースルーティング設定、オンボーディングロジック、セットアップ進捗、およびセマンティックレイヤーレジストリを読み込むか管理します。
official
notion-research-documentation
openai
Notionのコンテンツを調査し、構造化されたブリーフ、レポート、または引用付きの比較にまとめます。対象クエリを使用してNotionページを検索・取得し、テーマごとに調査結果を整理し、インラインのソース引用と参考文献セクションを追加します。範囲とユーザーの目的に応じて、4つの出力形式(クイックブリーフ、調査サマリー、比較、包括的レポート)から選択します。組み込みテンプレートを使用してNotionページを作成・更新し、新しい情報が到着するたびにソースを直接リンクし、変更を追跡します...
official
rcsb-pdb-skill
openai
コアメタデータ、Search APIクエリ、FASTAダウンロードのためのコンパクトなRCSB PDBリクエストを送信します。ユーザーが簡潔なRCSBサマリーを希望する場合に使用し、生のJSONや…を保存します。
official
pdf
openai
PDFの読み取り、作成、検証(視覚的レンダリングおよびプログラムによる生成を含む)。Poppler(pdftoppm)を使用して、納品前にレイアウト、スペーシング、タイポグラフィを視覚的に検査するためにPDFページをPNGにレンダリング。reportlabを使用してプログラム的にPDFを生成し、信頼性の高いフォーマットを実現。pdfplumberまたはpypdfを使用してテキストとメタデータを抽出。品質基準を遵守:テキストのクリッピングなし、要素の重なりなし、テーブルの破損なし、レンダリングアーティファクトなし。ASCIIハイフンのみ、人間が読める引用を使用。
official
test-coverage-improver
openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose…
official
playwright
openai
ターミナル駆動のブラウザ自動化で、要素スナップショットとインタラクティブなUIワークフローを備えています。playwright-cliラッパースクリプト(npxが必要)を介して動作し、ヘッドレスモードとヘッドモードの両方をサポートし、ビジュアルデバッグが可能です。コアワークフローは、ページを開き、安定した要素参照のためにスナップショットを取得し、参照を使用して操作し、ナビゲーションやDOM変更後に再スナップショットを取得します。フォーム入力、クリック、タイピング、マルチタブ管理、スクリーンショット/PDFキャプチャ、フローデバッグ用のトレース記録を含みます。要素参照(例:e3、e15)...
official
ukb-topmed-phewas-skill
openai
単一バリアントのコンパクトなUKB-TOPMed PheWASサマリーを取得します。rsID、GRCh37、またはGRCh38の入力を受け付け、必要なGRCh38クエリに解決します。以下の場合に使用します…
official
code-review-context
openai
モデル可視コンテキスト
official