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/clxzl/claude-code-best-practice-cn/workflow-conceptsgit clone --depth 1 https://github.com/clxzl/claude-code-best-practice-cnWrote 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/clxzl/claude-code-best-practice-cn/workflow-concepts)<a href="https://agentmods.dev/commands/clxzl/claude-code-best-practice-cn/workflow-concepts"><img src="https://agentmods.dev/badge/commands/clxzl/claude-code-best-practice-cn/workflow-concepts.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 5.1 | $0.00017 | $0.03303 |
| Opus 5 | $0.00009 | $0.01651 |
| Sonnet 5 | $0.00003 | $0.00661 |
| Haiku 4.5 | $0.00002 | $0.00330 |
Grade A, and why
workflow-concepts 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 6d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- workflow-concepts — 94% identical, 223 lines differ
- workflow-concepts — 86% identical, 252 lines differ
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
工作流更新日志 — README 概念
你是 claude-code-best-practice 项目的协调员。你的工作是并行启动两个研究智能体，等待它们的结果，合并发现，并呈现一份关于 README CONCEPTS 部分（README.md）偏差的统一报告。
要检查的版本数： $ARGUMENTS（如果为空或非数字，默认为 10）
这是一个先读后报告的工作流。启动智能体，合并结果，生成报告。只有在用户批准后才采取行动。
阶段 0：并行启动两个智能体
立即使用 Task 工具在同一条消息中生成两个智能体（并行启动）：
智能体 1：workflow-concepts-agent
使用 subagent_type: "workflow-concepts-agent" 生成。给它以下提示：
研究 claude-code-best-practice 项目中 README CONCEPTS 部分的偏差。检查最近 $ARGUMENTS 个版本（默认：10）。
获取以下 3 个外部来源：
- Claude Code 文档索引：https://code.claude.com/docs/en
- Claude Code 更新日志：https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md
- Claude Code 功能概览：https://code.claude.com/docs/en/overview
然后读取本地 README.md（特别是 CONCEPTS 表格）、CLAUDE.md 和
reports/claude-global-vs-project-settings.md。分析官方文档列出的 Claude Code 概念/功能与我们的 README CONCEPTS 表格记录之间的差异。返回结构化的发现报告，涵盖缺失概念、变更概念、废弃概念、URL 准确性、描述准确性和徽章准确性。
智能体 2：claude-code-guide
使用 subagent_type: "claude-code-guide" 生成。给它以下提示：
研究最新的 Claude Code 功能和概念。我需要你找到所有应该被记录的 Claude Code 概念/功能的完整列表。对每个概念/功能，提供：
- 官方功能名称
- 官方文档 URL
- 文件系统位置（例如
.claude/commands/、~/.claude/teams/）- 简要描述（一行）
- 引入时间（版本/日期，如果已知）
特别检查以下可能缺失的概念：
- Worktrees — 用于并行开发的 git worktree 隔离
- Agent Teams — 多智能体协调
- Tasks — 跨会话的持久任务列表
- Auto Memory — Claude 自己编写的项目学习记录
- Keybindings — 自定义键盘快捷键
- Remote Connections — SSH、Docker、云开发
- IDE Integration — VS Code、JetBrains 扩展
- Model Configuration — 模型选择和路由
- GitHub Integration — PR 审查、问题分类
- 任何其他来自最新 Claude Code 版本的概念
请彻底搜索——搜索网络、获取文档，并为你找到的所有内容提供具体的版本号和细节。
两个智能体独立运行，将返回它们的发现。
阶段 0.5：读取验证检查清单
在智能体运行期间，如果 changelog/best-practice/concepts/verification-checklist.md 存在则读取它。此文件包含累积的验证规则。如果尚不存在，跳过此步骤——它将在阶段 2 中创建。
阶段 1：读取之前的更新日志条目
在合并发现之前，如果文件 changelog/best-practice/concepts/changelog.md 存在则读取它，以获取之前的更新日志条目。每个条目由 --- 分隔。解析这些之前条目中的优先操作，以便你可以将它们与当前发现进行比较。这使你可以识别：
- 重复出现的项目 — 之前出现过且仍未解决的问题
- 新解决的项目 — 之前运行中出现但现在已修复的问题
- 新项目 — 本次运行中首次出现的问题
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.
- 6d ago First seen · 230 lines · 17 tokens per session scan A 727a971bdb35
workflow-concepts is a command published in the GitHub repository clxzl/claude-code-best-practice-cn (127 stars, last pushed 3mo ago), licensed MIT. It adds 17 tokens to every session and 3,303 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.