anthropics / anthropics/claude-code

[Feature Request] Add developer context awareness for local debugging scenarios

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area:model enhancement platform:macos
主要言語
Python
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説明

**Bug Description**
Dear Anthropic Support / Moderation Team,

I am writing to appeal a recent restriction on my session/account regarding the use of Claude Opus.

While developing and debugging a web application locally, I accidentally locked myself out of my administrative account because an API endpoint (/update-password) unexpectedly updated the admin password during local front-end testing.

To resolve this developer-side roadblock, I asked Claude to suggest potential default values or assist in resetting/generating a replacement password string for my development database. Unfortunately, the prompt wording was flagged by the automated safety system for potential security policy violations (e.g., password guessing/unauthorized access).

I want to clarify that:

This was purely a legitimate developer debugging task in my own controlled environment.

There was no intent to perform unauthorized access, credential harvesting, or malicious hacking.

It was an automated false positive caused by the context of my request.

I fully understand and respect Anthropic's safety policies, and I will be more careful with how I phrase code/database management requests in the future. Could you please review this prompt and restore my access to Claude Opus?

Thank you for your time and assistance.

Best regards,

**Environment Info**
- Platform: darwin
- Terminal: Apple_Terminal
- Version: 2.1.263
- Feedback ID: 811856bb-59f8-4b2c-82e3-fe6d3e7f2d7a

**Errors**
```json
[]
```

コントリビューションガイド

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調査の方向性

The report names no repository files, tests, or entry points to inspect. It describes an account restriction and a moderation false positive rather than a defined code change, so the intended behavior and completion criteria need clarification before implementation.

索引モデルが issue の本文から書いたものです。

評価

領域
security
issue の種類
機能追加
難易度
5/5
見積もり時間
1週間以上
活発さ
活発
明瞭さ
説明が足りない
初心者へのやさしさ
20/100

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