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/auto)<a href="https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/auto"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/auto/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/auto"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/auto.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 | $0.00019 | $0.02107 |
| Opus 5.5 | $0.00008 | $0.00843 |
| Sonnet 5.5 | $0.00004 | $0.00421 |
| Haiku 4.5 | $0.00002 | $0.00211 |
Grade A, and why
auto 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto 命令
根据用户输入自动选择最合适的命令执行。通过语义分析和关键词匹配，智能识别用户意图并路由到对应的专业命令。
核心理念
- 零配置: 用户无需记忆具体命令，描述需求即可
- 智能匹配: 基于优先级和语义权重进行最佳匹配
- 透明执行: 清晰展示选择逻辑，便于用户理解和调整
选择规则
优先级说明
- P0 (紧急): 阻塞性问题，必须立即处理
- P1 (高): 质量保障相关，影响代码可靠性
- P2 (中): 代码质量优化，提升可维护性
- P3 (低): 辅助性任务，改善开发体验
- P4 (默认): 通用开发任务，兜底选项
详细匹配规则
| 优先级 | 关键词 | 命令 | 适用场景 |
|---|---|---|---|
| P0 | 构建失败、build fail、类型错误、type error、编译错误、compile error、tsc 报错、npm run build 失败 | build-fix |
项目无法编译、TypeScript 类型检查失败、构建流程中断 |
| P1 | e2e、端到端、playwright、cypress、浏览器测试、用户流程测试、自动化测试、UI 测试 | e2e |
编写或运行端到端测试、验证用户交互流程、跨页面功能测试 |
| P1 | 覆盖率、coverage、测试报告、未覆盖代码、覆盖率不足、istanbul、jest coverage | test-coverage |
生成测试覆盖率报告、识别未测试代码、提升测试覆盖 |
| P1 | tdd、测试驱动、单元测试、unit test、先写测试、vitest、jest、测试优先 | tdd |
采用 TDD 方法开发新功能、编写单元测试、修复 bug 时补充测试 |
| P2 | 审查、review、检查代码、code review、代码质量、安全检查、漏洞、最佳实践 | code-review |
提交前代码审查、安全漏洞扫描、代码质量评估、最佳实践检查 |
| P3 | 清理、重构、refactor、删除未使用、dead code、优化结构、整理代码、抽取公共、消除重复 | refactor-clean |
移除死代码、优化代码结构、提取公共逻辑、消除重复代码 |
| P3 | 文档、docs、README、注释、API 文档、使用说明、更新文档、写文档 | update-docs |
更新项目文档、编写 README、生成 API 文档、补充代码注释 |
| P3 | 代码地图、codemap、架构图、模块关系、依赖分析、项目结构 | update-codemaps |
生成代码架构图、分析模块依赖、可视化项目结构 |
| P4 | 实现、开发、功能、feature、新增、添加、创建、修改、implement、develop（默认兜底） | plan |
新功能开发、现有功能修改、任何未匹配的开发任务 |
冲突处理规则
当用户输入匹配多个命令时：
- 优先级优先: 选择优先级数字更小的命令
- 精确优先: 完全匹配优于部分匹配
- 上下文优先: 根据用户历史操作推断意图
- 询问确认: 多个同优先级命令时，询问用户确认
执行步骤
1. 分析意图
- 对用户输入进行分词和语义解析
- 提取核心关键词和动作词
- 识别技术术语和上下文线索
2. 匹配命令
- 按优先级从高到低遍历规则表
- 计算每条规则的匹配分数
- 选择得分最高且优先级最高的命令
3. 显示结果
- 清晰展示选中的命令
- 说明选择原因和匹配的关键词
- 提供备选命令供用户参考
4. 执行命令
- 调用对应命令的完整流程
- 传递用户原始输入作为参数
- 保持执行过程的透明可见
输出格式
📊 智能命令选择
🎯 **已选择**: `/aimax:[命令]`
📝 **原因**: [详细的选择原因说明]
🔍 **关键词**: [匹配的关键词列表]
💡 **备选**: [其他可能相关的命令]
---
⏳ 正在执行 `/aimax:[命令]` ...
使用示例
示例 1: 新功能开发
用户：/aimax:auto 添加用户登录功能
📊 智能命令选择
🎯 **已选择**: `/aimax:plan`
📝 **原因**: 检测到新功能开发需求，需先制定实现计划确保架构合理
🔍 **关键词**: "添加"、"功能"、"登录"
💡 **备选**: `/aimax:tdd`（如果希望采用测试驱动开发）
---
⏳ 正在执行 `/aimax:plan` ...
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.
- 2mo ago First seen · 190 lines · 19 tokens per session scan A 0383f6208860
auto is a command published in the GitHub repository zhukunpenglinyutong/ai-max (334 stars, last pushed 8mo ago), licensed MIT. It adds 19 tokens to every session and 2,107 once invoked, about $0.0001 per session on Opus 5.5. 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.
auto compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| autozhukunpenglinyutong/ai-max | Command | 334 | 8mo ago | MIT | A | 19 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |