No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by tt-a1i · Codex Skill · ★ 432
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is simplify-codebase safe to install? View the security audit →
Simplify Codebase 先证明，再删除。让代码库少维护一些事实、状态与契约。 是一个面向现有代码库的 Agent Skill。它帮助编码智能体识别并安全移除偶然复杂度，同时保护仍然有效的行为、边界与兼容性。 它不追求“删得多”。它关心的是：一次改动能否减少团队今后必须持续保持一致的概念和义务。 为什么需要它 代码库里的冗余很少只是“某个函数没人调用”。它也可能是重复状态、失去所有者的抽象、只剩测试消费的接口、早已无效的兼容路径，或者被保留在共享文件中的半截功能。 静态检查可以提供线索，但不能单独证明一项删除是安全的。这个 Skill 会继续追踪运行时消费者、动态注册、持久化格式、公共接口、历史决策与验证边界，再决定应该删除、合并、保留，还是标记为暂时无法判断。 核心原则： 删除代码行只是结果。真正的收益是删除一个需要长期维护的事实、状态、契约或概念。 工作方式 每个候选都要形成一份证明记录： 它位于哪个所有权边界、符号、文件，以及能够验证时的行号； 它增加了什么维护负担； 生产、测试、动态和外部消费者分别是谁； 完整删除边界在哪里，包括共享文件内部的成员； 会放弃什么可观察行为或兼容性； 哪个最小验证可以揭示错误删除； 减少的复杂度是否大于新引入的迁移或替代机制。 它会谨慎对待 公共 API、动态加载和插件注册； 数据格式、迁移、回放与向后兼容； 授权、隔离、输入校验和数据丢失防护； 并发、取消、清理和生命周期所有权； 生成文件、共享资源和仓库外消费者； 仍然有效的 ADR、RFC 与架构约束。 发现真实消费者、边界尚未查清，或者简化只是把复杂度搬到别处时，它会建议保留，而不是为了输出结果强行删除。 安装 让 Codex 安装： text Insta
| Stars | 432 |
| Forks | 15 |
| Language | HTML |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.9134621942368/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-04 |
| Created | 2026-08-24 |
| Platforms | codex |
| Est. Tokens | ~16k |
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simplify-codebase is Prove and remove accidental codebase complexity without breaking behavior.. It is categorized as a Codex Skill with 432 GitHub stars.
simplify-codebase is primarily written in HTML. It covers topics such as agent-skills, ai-agents, code-quality.
You can find installation instructions and usage details in the simplify-codebase GitHub repository at github.com/tt-a1i/simplify-codebase. The project has 432 stars and 15 forks, indicating an active community.
simplify-codebase is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to simplify-codebase on Agent Skills Hub include pilot-shell, brooks-lint, claude-code-workflows. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: