AI Coding Tools Risk Check Checklist: quick fix, steps, and deep guide

Q: AI Coding Tools Risk Check Checklist

Treat this as a Codex checklist issue. Confirm the environment, inputs, permissions, logs, and delivery boundary, then use the linked deep guide for the full checklist.

What is the problem?

一份给新手的 AI 编程工具风险检查清单，用来确认输入是否脱敏、修改范围是否可控、输出是否验证、交付边界是否清楚。

Quick solution

Treat this as a Codex checklist issue. First confirm the environment, inputs, permissions, logs, and delivery boundary. Then use the linked deep guide for the full checklist before changing production code or promising a result.

Read the deep guide

Detailed steps

判断当前项目是否是生产环境。
删除或替换敏感信息。
限定 AI 只能处理相关文件和相关问题。
阅读 AI 输出，确认没有大范围重构或不必要依赖。
运行验证命令或打开页面检查。
保存修改记录和测试结果。

Commands or code

输入给 AI 之前：
1. 是否包含 API Key、Token、密码：是 / 否
2. 是否包含客户邮箱、手机号、订单号：是 / 否
3. 是否包含生产数据库字段或真实数据：是 / 否
4. 是否包含后台截图或高权限页面：是 / 否
5. 是否可以用模拟数据替代：是 / 否
6. 是否只提供本次相关文件：是 / 否

Risk notes

Confirm the real project environment, account permissions, platform rules, and output quality before delivery. Do not ship AI-generated changes without human review, and do not claim indexing, income, deployment success, or ranking improvements without measured evidence.