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Agent Skill · 研究检索

docstring(docstring 搜索)

docstring 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

docstring 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 39,667。

总安装 1,382周安装 57GitHub Stars 11,570下载 451核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:docstring(docstring 搜索)
来源仓库:https://github.com/pipecat-ai/pipecat
仓库路径:skills/docstring
安装命令:
npx skills add https://github.com/pipecat-ai/pipecat --skill docstring
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/pipecat-ai/pipecat --skill docstring

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。适合根据关键词快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。

docstring 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/docstring

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pipecat-ai/pipecat --skill docstring;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

docstring 怎么安装?

在终端执行 npx skills add https://github.com/pipecat-ai/pipecat --skill docstring。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

docstring 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

docstring 需要什么权限?

权限级别是接触敏感数据。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。

docstring 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

docstring 用的人多吗?

公开数据是累计安装 1,382 次,近一周安装 57 次,下载 451 次,GitHub 11,570 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

docstring 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
docstring

docstring 搜索 · 本页

1,38211,570接触敏感数据MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Document a Python module or class using Google-style docstrings following project conventions. The argument can be a class name or a module path.

Instructions

  1. Determine what to document based on the argument: If a module path is provided (e.g. src/pipecat/audio/vad/vad_analyzer.py): If a class name is provided (e.g. VADAnalyzer):

- Use that file directly - Search for class ClassName in src/pipecat/ - If multiple files contain that class name, list all matches with their file paths, ask the user which one they want to document, and wait for confirmation

  1. Once the file is identified, read the module to understand its structure:

- Identify all classes, functions, and important type aliases - Understand the purpose of each component

  1. Apply documentation in this order:

- Module docstring (at top, after imports) - Class docstrings - __init__ methods (always document constructor parameters) - Public methods (not starting with _) - Dataclass/config classes with field descriptions

  1. Skip documentation for:

- Private methods (starting with _) - Simple dunder methods (__str__, __repr__, __post_init__) - Very simple pass-through properties - Already documented code - If a class, method, or function already has a complete docstring that follows the project style, do not modify it. A docstring is complete if it has: - A one-line summary - Args section (if it has parameters) - Returns section (if it returns something meaningful) - Only add or improve documentation where it is missing or incomplete

Module Docstring Format

"""[One-line description of module purpose].

[Optional: Longer explanation of functionality, key classes, or use cases.]
"""

Example:

"""Neuphonic text-to-speech service implementations.

This module provides WebSocket and HTTP-based integrations with Neuphonic's
text-to-speech API for real-time audio synthesis.
"""

Class Docstring Format

class ClassName:
    """One-line summary describing what the class does.

    [Longer description explaining purpose, behavior, and key features.
    Use action-oriented language.]

    [Optional: Event handlers, usage notes, or important caveats.]
    """

Example:

class FrameProcessor(BaseObject):
    """Base class for all frame processors in the pipeline.

    Frame processors are the building blocks of Pipecat pipelines, they can be
    linked to form complex processing pipelines. They receive frames, process
    them, and pass them to the next or previous processor in the chain.

    Event handlers available:

    - on_before_process_frame: Called before a frame is processed
    - on_after_process_frame: Called after a frame is processed

    Example::

        @processor.event_handler("on_before_process_frame")
        async def on_before_process_frame(processor, frame):
            ...

        @processor.event_handler("on_after_process_frame")
        async def on_after_process_frame(processor, frame):
            ...
    """

Note: When listing event handlers, do NOT use backticks. Include an Example:: section (with double colon for Sphinx) showing the decorator pattern and function signature for each event.

Constructor (__init__) Format

def __init__(self, *, param1: Type, param2: Type = default, **kwargs):
    """Initialize the [ClassName].

    Args:
        param1: Description of param1 and its purpose.
        param2: Description of param2. Defaults to [default].
        **kwargs: Additional arguments passed to parent class.
    """

Example:

def __init__(
    self,
    *,
    api_key: str,
    voice_id: Optional[str] = None,
    sample_rate: Optional[int] = 22050,
    **kwargs,
):
    """Initialize the Neuphonic TTS service.

    Args:
        api_key: Neuphonic API key for authentication.
        voice_id: ID of the voice to use for synthesis.
        sample_rate: Audio sample rate in Hz. Defaults to 22050.
        **kwargs: Additional arguments passed to parent InterruptibleTTSService.
    """

Method Docstring Format

async def method_name(self, param1: Type) -> ReturnType:
    """One-line summary of what method does.

    [Longer description if behavior isn't obvious.]

    Args:
        param1: Description of param1.

    Returns:
        Description of return value.

    Raises:
        ExceptionType: When this exception is raised.
    """

Example:

async def put(self, item: Tuple[Frame, FrameDirection, FrameCallback]):
    """Put an item into the priority queue.

    System frames (`SystemFrame`) have higher priority than any other
    frames. If a non-frame item is provided it will have the highest priority.

    Args:
        item: The item to enqueue.
    """

Dataclass/Config Format

@dataclass
class ConfigName:
    """One-line description of configuration.

    [Explanation of when/how to use this config.]

    Parameters:
        field1: Description of field1.
        field2: Description of field2. Defaults to [default].
    """

    field1: Type
    field2: Type = default_value

Example:

@dataclass
class FrameProcessorSetup:
    """Configuration parameters for frame processor initialization.

    Parameters:
        clock: The clock instance for timing operations.
        task_manager: The task manager for handling async operations.
        observer: Optional observer for monitoring frame processing events.
    """

    clock: BaseClock
    task_manager: BaseTaskManager
    observer: Optional[BaseObserver] = None

Enum Documentation Format

class EnumName(Enum):
    """One-line description of the enum purpose.

    [Longer description of how the enum is used.]

    Parameters:
        VALUE1: Description of VALUE1.
        VALUE2: Description of VALUE2.
    """

    VALUE1 = 1
    VALUE2 = 2

Writing Style Guidelines

  • Concise and professional - No casual language or filler words
  • Action-oriented - Start with verbs: "Processes...", "Manages...", "Converts..."
  • Purpose before implementation - Explain WHY before HOW
  • Clear parameter descriptions - Include type hints, defaults, and purpose
  • No redundant type info - Type hints are in the signature, don't repeat in description
  • Use backticks for code references - Wrap class names, method names, event names, parameter names, and code snippets in backticks

Good: "Neuphonic API key for authentication." Bad: "str: The API key (string) that is used for authenticating with Neuphonic."

Good: "Triggers on_speech_started when the VADAnalyzer detects speech." Bad: "Triggers on_speech_started when the VADAnalyzer detects speech."

Deprecation Notice Format

When documenting deprecated code:

"""[Description].

.. deprecated:: X.X.X
    `ClassName` is deprecated and will be removed in a future version.
    Use `NewClassName` instead.
"""

Checklist

Before finishing, verify:

  • Module has a docstring at the top (after copyright header and imports)
  • All public classes have docstrings
  • All __init__ methods document their parameters
  • All public methods have docstrings with Args/Returns/Raises as needed
  • Dataclasses use "Parameters:" section for field descriptions
  • Enums document each value in "Parameters:" section
  • Writing is concise and action-oriented
  • No documentation added to private methods (starting with _)
  • Existing complete docstrings were left unchanged

平台分布

OpenCode

52.03%
按下载量换算235

Cursor

28.23%
按下载量换算127

Claude Code

14.16%
按下载量换算64

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

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。

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