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/plan)<a href="https://agentmods.dev/commands/zhukunpenglinyutong/ai-max/plan"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/plan/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/plan"><img src="https://agentmods.dev/badge/commands/zhukunpenglinyutong/ai-max/plan.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 | $0.00024 | $0.00942 |
| Opus 5.5 | $0.00010 | $0.00377 |
| Sonnet 5.5 | $0.00005 | $0.00188 |
| Haiku 4.5 | $0.00002 | $0.00094 |
Grade A, and why
plan 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.
What it actually says
Plan 命令
此命令调用 planner 代理,在编写任何代码之前创建全面的实施计划。
此命令的功能
- 重述需求 - 明确需要构建的内容
- 识别风险 - 发现潜在问题和阻碍因素
- 创建步骤计划 - 将实施分解为多个阶段
- 等待确认 - 必须在继续之前获得用户批准
何时使用
在以下情况使用 /aimax:plan:
- 开始新功能开发
- 进行重大架构变更
- 处理复杂的重构工作
- 多个文件/组件将受到影响
- 需求不清楚或有歧义
工作原理
planner 代理将:
- 分析请求并以清晰的术语重述需求
- 分解为阶段,包含具体、可执行的步骤
- 识别组件之间的依赖关系
- 评估风险和潜在阻碍因素
- 估算复杂度(高/中/低)
- 展示计划并等待您的明确确认
使用示例
用户:/aimax:plan 我需要在市场结算时添加实时通知功能
代理(planner):
# 实施计划:实时市场结算通知
## 需求重述
- 当用户关注的市场结算时向其发送通知
- 支持多种通知渠道(应用内、邮件、webhook)
- 确保通知可靠送达
- 包含市场结果和用户持仓结果
## 实施阶段
### 阶段 1:数据库架构
- 添加 notifications 表,包含列:id, user_id, market_id, type, status, created_at
- 添加 user_notification_preferences 表用于渠道偏好设置
- 在 user_id 和 market_id 上创建索引以提高性能
### 阶段 2:通知服务
- 在 lib/notifications.ts 中创建通知服务
- 使用 BullMQ/Redis 实现通知队列
- 添加失败投递的重试逻辑
- 创建通知模板
### 阶段 3:集成点
- 接入市场结算逻辑(当状态变更为 "resolved" 时)
- 查询所有在该市场有持仓的用户
- 为每个用户加入通知队列
### 阶段 4:前端组件
- 在页头创建 NotificationBell 组件
- 添加 NotificationList 弹窗
- 通过 Supabase 订阅实现实时更新
- 添加通知偏好设置页面
## 依赖项
- Redis(用于队列)
- 邮件服务(SendGrid/Resend)
- Supabase 实时订阅
## 风险
- 高:邮件送达率(需要 SPF/DKIM)
- 中:每个市场超过 1000+ 用户时的性能
- 中:如果市场频繁结算可能导致通知泛滥
- 低:实时订阅的开销
## 预估复杂度:中等
- 后端:4-6 小时
- 前端:3-4 小时
- 测试:2-3 小时
- 总计:9-13 小时
**等待确认**:继续执行此计划?(是/否/修改)
重要说明
关键:planner 代理在您明确确认计划(使用 "是"、"继续" 或类似肯定回复)之前不会编写任何代码。
如果您想要更改,请回复:
- "修改:[您的更改]"
- "换个方案:[替代方案]"
- "跳过阶段 2,先做阶段 3"
与其他命令的集成
计划完成后:
- 使用
/aimax:tdd通过测试驱动开发实施 - 如果出现构建错误,使用
/aimax:build-fix - 使用
/aimax:code-review审查已完成的实施
相关代理
此命令调用位于以下位置的 planner 代理:
~/.claude/agents/planner.md
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 · 114 lines · 24 tokens per session scan A b7fae2a8440a
plan is a command published in the GitHub repository zhukunpenglinyutong/ai-max (334 stars, last pushed 8mo ago), licensed MIT. It adds 24 tokens to every session and 942 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.
plan compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| planzhukunpenglinyutong/ai-max | Command | 334 | 8mo ago | MIT | A | 24 | 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 |