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.
npx agentmods add commands/rongxinzy/claude-code-best-practice-zh/implementgit clone --depth 1 https://github.com/rongxinzy/claude-code-best-practice-zhWrote 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/rongxinzy/claude-code-best-practice-zh/implement)<a href="https://agentmods.dev/commands/rongxinzy/claude-code-best-practice-zh/implement"><img src="https://agentmods.dev/badge/commands/rongxinzy/claude-code-best-practice-zh/implement.svg" alt="Measured on agentmods" 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 | $0.00009 | $0.04276 |
| Opus 5 | $0.00005 | $0.02138 |
| Sonnet 5 | $0.00002 | $0.00855 |
| Haiku 4.5 | $0.00001 | $0.00428 |
Grade A, and why
implement 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 4d 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 — 635 lines — stays where its author put it; the contents beside it link to each section on GitHub.
用户输入
$ARGUMENTS
你必须解析用户输入以提取功能标识(rpi/ 中的文件夹名称)。
目的
此命令基于规划文档执行功能的分阶段实现。它编排专业 agent,强制执行验证门,并确保整个实现过程中的章程合规性。
前提条件:
- 功能文件夹存在于
rpi/{功能标识}/ - 规划已完成(
rpi/{功能标识}/plan/PLAN.md存在)
输出位置:rpi/{功能标识}/implement/
这是 RPI 工作流的第 4 步(最后一步 - 实际实现)。
标志
--phase N:执行特定阶段编号(1-8),如果省略则从阶段 1 开始--validate-only:仅验证当前阶段,不实现--skip-validation:跳过验证门并继续(谨慎使用)
可用 Agents
所有 agent 使用 Opus 模型以获得最高质量。
实现 Agent
| Agent | 类型 | 何时使用 |
|---|---|---|
senior-software-engineer |
自定义 | 所有实现任务 |
支持 Agents
| Agent | 类型 | 目的 |
|---|---|---|
Explore |
内置 | 实现前代码探索 |
code-reviewer |
自定义 | 代码审查和质量验证 |
constitutional-validator |
自定义 | 根据项目章程验证 |
documentation-analyst-writer |
内置 | 文档生成 |
Agent 路由
所有实现任务由 senior-software-engineer agent 处理。
阶段 0:加载上下文和规则
前提条件:从用户输入解析的功能标识
过程:
0.1 加载项目章程
- 检查仓库中是否存在章程或原则文档
- 如果存在,提取:
- 技术约束(类型安全、测试、组件隔离)
- 业务原则(质量标准、工作流)
- 架构边界
- 存储约束以在执行期间强制执行
0.2 加载领域特定指南
根据要修改的文件,加载相关的项目指南:
- 检查组件特定的 README 文件
- 检查编码风格指南
- 检查测试需求文档
0.3 分析实现范围
- 读取
rpi/{功能标识}/plan/PLAN.md - 识别所有要修改的文件
- 将文件映射到实现 agent
输出:
- 章程上下文摘要
- 加载的领域规则
- 文件到 agent 的映射
- 阶段执行计划
验证:
- 章程已加载(如果存在)
- 受影响文件的领域规则已加载
- 所有文件已映射到 agent
- 执行计划已理解
分阶段实现工作流
阶段实现循环
对于 PLAN.md 中的每个阶段:
┌─────────────────────────────────────────────────────────────────┐
│ 阶段 N: [阶段名称] │
├─────────────────────────────────────────────────────────────────┤
│ │
│ 1. 代码发现 (Explore Agent) │
│ └─→ 在修改前理解现有代码 │
│ │
│ 2. 实现 (senior-software-engineer) │
│ └─→ 实现阶段交付物 │
│ │
│ 3. 自我验证 │
│ └─→ 工程师根据阶段清单验证 │
│ │
│ 4. 代码审查 (code-reviewer Agent) │
│ └─→ 安全性、正确性、可维护性 │
│ │
│ 5. 用户验证门 │
│ └─→ 停止并请求用户批准 │
│ ├─→ 通过:进入下一阶段 │
│ ├─→ 有条件通过:记录问题,继续 │
│ └─→ 失败:修复问题,重新验证 │
│ │
│ 6. 文档更新 │
│ └─→ 在 PLAN.md 中更新阶段状态 │
│ │
└─────────────────────────────────────────────────────────────────┘
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.
- 4d ago First seen · 635 lines · 9 tokens per session scan A 25c4f16dcf52
implement is a command published in the GitHub repository rongxinzy/claude-code-best-practice-zh (6 stars, last pushed 4mo ago), licensed MIT. It adds 9 tokens to every session and 4,276 once invoked, about $0.0000 per session on Opus 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 2026-08-31.
Other commands, from other repositories
template
Manage issue templates for streamlined issue creation.
sync-linear
Sync current work with Linear ticket status.
add-note
Add an internal or external note to a ConnectWise PSA ticket.
fest-show
Show festival progression (in-progress tasks, roadmap, and dependency view).
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
clarify
Walk through inbox items applying the GTD decision tree. Usage: /gtd:clarify [--id gtd-xxx].