Hacktoberfest 2026:メンテナが10月に向けて印を付けた、オープンで初心者向けの issue。 Hacktoberfest の issue を見る

Admin can remove themselves from the organization

オープン
#6,315 コメント 1 件 リアクション 0 件 担当者 0 名 GitHub で見る

メンテナーはふだん 1 日以内に返信

まだ誰も着手していません。

評価

難易度
4/5
見積もり時間
1〜2日
初心者へのやさしさ
35/100
issue の種類
バグ
明瞭さ
おおむね明確
活発さ
活発
技術スタック
python
領域
authorization

調査の方向性

Trace the organization membership removal flow used from the SHARING tab, focusing on how it authorizes removal of the current user. Find the permission check that allows an organization admin to remove themselves and determine how the expected web admin approval should work. Done means self-removal is blocked or requires approval, with the behavior covered by a test.

索引モデルが issue の本文から書いたものです。

説明

bug

❌ This issue is not open for contribution. Visit Contributing guidelines to learn about the contributing process and how to find suitable issues.

Target branch: unstable

Observed behavior

An organization admin is able to remove their own membership from the organization.

Errors and logs

No application errors were reported. This is a policy/authorization issue in the organization membership management logic.

Expected behavior

Admins should not be able to remove themselves from an organization. At minimum, this action should be blocked or require approval from a web admin.

User-facing consequences

Self-removal can make the organization's membership history harder to audit by removing an admin without an explicit handoff. This may make it less clear why the admin's access ended and whether the change was an intended administrative decision.

Steps to reproduce

  1. Sign in as an organization admin.
  2. Open the organization's SHARING tab.
  3. Find yourself in the Users section.
  4. Remove yourself from the organization.
  5. Observe that the admin leaves the organization even though doing so should be restricted.

Context

This issue affects organization membership controls and is a direct authorization bug. The report notes this as a distinct case from removing another admin, and the underlying permission model appears to be incorrectly allowing self-removal.

AI usage

The bugs were gathered by a human and later turned into issue descriptions with the help of an AI assistant. The assistant was used to draft the wording and structure of the report, and the final text was reviewed and adjusted for accuracy based on the supplied bug summary.

主要言語
Python
スター
192
フォーク
310
平均マージ
2日 10時間
マージ済み PR(30日)
66

環境構築

はじめの一歩

  1. issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
  2. 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
  3. リポジトリをフォークし、ブランチを切って変更します。
  4. issue 番号を参照したプルリクエストを送ります。

learningequality/studio のほかの issue

learningequality/studio の issue をすべて見る

似ている issue

Python の issue をもっと見る

新しい issue をメールで受け取る

初心者向けの GitHub issue を短くまとめたダイジェスト。