Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/zhukunpenglinyutong/ai-maxWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/refactor-clean)<a href="https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/refactor-clean"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/refactor-clean/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/refactor-clean"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/refactor-clean.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00221 |
| Opus 5 | $0.00000 | $0.00111 |
| Sonnet 5 | $0.00000 | $0.00044 |
| Haiku 4.5 | $0.00000 | $0.00022 |
Grade A, and why
refactor-clean scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
重构清理
通过测试验证安全地识别和移除死代码：
-
运行死代码分析工具：
- knip：查找未使用的导出和文件
- depcheck：查找未使用的依赖项
- ts-prune：查找未使用的 TypeScript 导出
-
在 .reports/dead-code-analysis.md 中生成综合报告
-
按严重程度分类发现的问题：
- 安全：测试文件、未使用的工具函数
- 谨慎：API 路由、组件
- 危险：配置文件、主入口点
-
仅提议安全的删除操作
-
每次删除前：
- 运行完整测试套件
- 验证测试通过
- 应用更改
- 重新运行测试
- 如果测试失败则回滚
-
显示已清理项目的摘要
永远不要在没有先运行测试的情况下删除代码！
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 29 lines · 0 tokens per session scan A d3e0d00aa1a8
refactor-clean is a command published in the GitHub repository zhukunpenglinyutong/ai-max (335 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 221 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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