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 skills add rockyflux/yq-workflow --skill gen-docsgit clone --depth 1 https://github.com/rockyflux/yq-workflowWrote 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/skills/rockyflux/yq-workflow/gen-docs)<a href="https://agentmods.dev/skills/rockyflux/yq-workflow/gen-docs"><img src="https://agentmods.dev/badge/skills/rockyflux/yq-workflow/gen-docs.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 | $0.00058 | $0.00824 |
| Opus 5 | $0.00029 | $0.00412 |
| Sonnet 5 | $0.00012 | $0.00165 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
gen-docs 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.
This is a copy
100% identical to gen-docs — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
📝 造典关卡 · 文档生成器
核心原则
无文档不成模块
文档是模块的身份证
没有身份证的模块不允许上线
自动生成
运行文档生成脚本（跨平台）：
# 在 skill 目录下运行
node scripts/doc_generator.js <模块路径>
node scripts/doc_generator.js <模块路径> --force # 强制覆盖已存在的文档
node scripts/doc_generator.js <模块路径> --json # JSON 输出
生成内容
README.md 骨架
自动生成的 README.md 包含：
- 模块名称 — 从目录名提取
- 描述 — 从代码文档字符串提取（如有）
- 特性列表 — 待填充
- 依赖 — 从 requirements.txt/pyproject.toml 提取
- 使用方法 — 基础模板
- API 概览 — 从代码提取类和函数列表
- 目录结构 — 自动扫描生成
DESIGN.md 骨架
自动生成的 DESIGN.md 包含：
- 设计概述 — 目标与非目标模板
- 架构设计 — 架构图占位符
- 核心组件 — 从代码提取类列表
- 设计决策 — 决策记录表格模板
- 技术选型 — 自动检测语言和依赖
- 权衡取舍 — 已知限制和技术债务模板
- 安全考量 — 威胁模型和安全措施模板
- 变更历史 — 初始版本记录
智能分析
支持的语言
| 语言 | 分析能力 |
|---|---|
| Python | 类、函数、文档字符串、依赖 |
| Go | 目录结构、依赖 |
| TypeScript | 目录结构、依赖 |
| Rust | 目录结构、依赖 |
| 其他 | 基础目录结构 |
提取的信息
- 模块名称（目录名）
- 主要编程语言
- 代码文件列表
- 类和函数定义（Python）
- 文档字符串（Python）
- 依赖列表
- 入口点文件
自动触发时机
| 场景 | 触发条件 |
|---|---|
| 新建模块 | 模块创建开始时 |
| 缺失文档 | 检测到模块缺少文档时 |
使用流程
1. 运行 doc_generator.js 生成骨架
2. 填充 TODO 标记的内容
3. 补充设计决策和理由
4. 添加使用示例
5. 运行 /verify-module 校验完整性
生成后检查清单
README.md
- 填充模块描述
- 补充特性列表
- 添加使用示例
- 确认依赖完整
DESIGN.md
- 明确设计目标
- 记录设计决策
- 说明技术选型理由
- 列出已知限制
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 117 lines · 58 tokens per session scan A 0cbba7ebec8d
gen-docs is a skill published in the GitHub repository rockyflux/yq-workflow (2 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 824 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gen-docs, differing in 0 lines, and is treated as a copy.
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