fake-data-guard

仓库创建 2026年7月28日最近提交 7 小时前SkillHot 收录 1 小时前

▸ 精选理由

上线或填充共享环境前快速排查假数据风险。

▸ 风险提示

将扫描仓库文件，可能接触敏感或生产数据

这个 Skill 做什么

检测示例/种子/夹具数据是否可能流入真实生产或影响用户。

帮你找代码库里那些看起来真实但其实是示例、种子或 fixture 的数据——虚构用户、伪造指标、占位评价或硬编码的数量，并判断这些假数据有没有可能跑到真实环境或被真实用户看到。上线前、向共享环境填数据或新增 seed 脚本时用，能避免把假数据当真展示给客户。特别会检查是否存在防护措施防止假数据流入生产。

▸ 展开 SKILL.md 英文原文

Find demo, seed, and fixture data that can reach a real database or a real user — fabricated users, invented metrics, placeholder testimonials, hardcoded counts — and check whether anything actually stops it. Use before a launch, before seeding any shared environment, when adding a seed script, or when the user asks whether their numbers are real.

开发编程伪造数据检测种子数据生产安全通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/sriptcollector/toolbay-skills/main/skills/fake-data-guard/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/sriptcollector/toolbay-skills/main/skills/fake-data-guard/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Fake Data Guard

## Install

Save this file as `~/.claude/skills/fake-data-guard/SKILL.md`, or
`.claude/skills/fake-data-guard/SKILL.md` to scope it to one repo. Claude Code
auto-discovers it. Invoke with `/fake-data-guard` or by asking "could any fake
data reach production?".

## Why this exists

Every project grows demo data. Seed scripts with plausible users, fixtures with
realistic-looking metrics, a placeholder testimonial nobody removed. All of it is
correct locally and radioactive in production.

The damage is asymmetric. A crash is embarrassing and recoverable. Published
invented traction is a trust failure, and for anything that sells, reviews, or
reports numbers it is the one mis

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