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shadows-doc-forge阴影文档伪造

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

11,016

周安装

450

GitHub Stars

公开资料未说明

下载量

3,564
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:shadows-doc-forge(阴影文档伪造)
来源仓库:https://github.com/nakedoshadow/shadows-doc-forge
安装命令:
openclaw skills install shadows-doc-forge
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install shadows-doc-forge

简介

自动文档生成器——分析代码并生成自述文件、API 文档、架构文档、内联注释。当文档丢失或过时时使用。

SKILL.md

name
doc-forge
description
Auto-documentation generator — analyzes code and generates README, API docs, architecture docs, inline comments. Use when documentation is missing or outdated.
metadata
{ "openclaw": { "emoji": "📝", "homepage": "https://clawhub.ai/NakedoShadow", "os": ["darwin", "linux", "win32"] } }

Doc Forge — Intelligent Documentation Generator

Version: 1.1.0 | Author: Shadows Company | License: MIT


WHEN TO TRIGGER

  • Project has no README or outdated documentation
  • User says "document this", "generate docs", "write README"
  • New module/feature needs documentation
  • API endpoints need documented
  • Onboarding documentation needed

WHEN NOT TO TRIGGER

  • Code is self-explanatory and well-named
  • User explicitly says "no docs needed"
  • Adding trivial comments to obvious code

PREREQUISITES

No binaries required. This skill reads source files and generates documentation in markdown format. No external tools needed.


DOCUMENTATION TYPES

Type 1 — README.md

Structure:

# Project Name
[One-line description]

## Quick Start
[3-5 steps to get running]

## Features
[Bullet list of key capabilities]

## Installation
[Step-by-step install instructions]

## Usage
[Code examples for common use cases]

## Configuration
[Environment variables, config files]

## API Reference
[If applicable — endpoints or function signatures]

## Architecture
[High-level diagram or description]

## Contributing
[How to contribute]

## License
[License type]

Type 2 — API Documentation

For each endpoint/function:

### `METHOD /path/to/endpoint`

**Description**: What it does.

**Auth**: Required/Optional/None

**Parameters**:
| Name | Type | Required | Description |
|------|------|----------|-------------|
| id   | string | Yes    | Resource ID |

**Request Body**:

{ "key": "value" }


**Response** (200):

{ "ok": true, "data": {} }


**Errors**:
| Code | Description |
|------|-------------|
| 400  | Invalid input |
| 401  | Unauthorized |
| 404  | Not found |

Type 3 — Architecture Document

# Architecture Overview

## System Diagram
[Text-based diagram using ASCII or Mermaid]

## Components
[Description of each major component]

## Data Flow
[How data moves through the system]

## Key Decisions
[Why certain architectural choices were made]

## Dependencies
[External services and their purposes]

Type 4 — Inline Code Documentation

Rules for adding code comments:

  1. Only document WHY, never WHAT — the code shows WHAT
  2. Document edge cases — explain non-obvious behavior
  3. Document contracts — inputs, outputs, side effects
  4. No obvious comments// increment counter on counter++ is noise

Good:

# Rate limit: Stripe API allows max 100 requests/sec.
# We batch to stay under 80 to account for retries.
batch_size = 80

Bad:

# Set batch size to 80
batch_size = 80

PROCESS

  1. Scan the project structure — list all directories and key files (entry points, configs, tests)
  2. Read entry points first (main.py, index.ts, server.py), then configs, then supporting modules
  3. Analyze frameworks used, architecture patterns, data flow, public interfaces
  4. Generate the appropriate documentation type based on what the project needs most
  5. Verify every code example and function signature against the actual source before finalizing

SECURITY CONSIDERATIONS

This skill reads source code files to generate documentation. It does not execute code, make network calls, or modify existing source files. Generated documentation is written as new files only. No credentials required, no persistence, no network access. Safe for all repositories.


OUTPUT FORMAT

Generated documentation follows the templates defined in DOCUMENTATION TYPES above. Each output file is a standalone markdown document placed alongside the source it documents (or at the project root for README.md).


RULES

  1. Read before documenting — never document code you haven't read
  2. Accuracy over completeness — better to document less correctly than more incorrectly
  3. Living docs — documentation must match current code state
  4. Examples are mandatory — every API endpoint needs a usage example
  5. No fictional features — only document what actually exists in the codebase
  6. Match project language — if project docs are in French, write in French

Published by Shadows Company — "We work in the shadows to serve the Light."

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.05%
按下载量换算3,388

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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