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Agent Skill · 效率

feapder(feapder 效率)

feapder 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

feapder 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 8,444。

总安装 7,075周安装 289GitHub Stars 公开资料未说明下载 2,266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-0
版本
1.0.0

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:feapder(feapder 效率)
来源仓库:https://github.com/fqxue/feapder
安装命令:
openclaw skills install feapder
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 feapder

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

feapder 用于辅助 feapder 爬虫框架项目的开发与调试,支持本地模式运行。适合维护 Python 爬虫代码库、修改蜘蛛逻辑或排查抓取异常问题。可直接操作项目结构与配置文件,实现快速迭代与热重载。需确保运行环境具备 Python 3.7+ 及 pyarrow 等依赖项支持。

涉及网络请求与数据存储,应注意目标网站反爬策略与数据使用合规性。

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 OpenClaw;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 openclaw skills install feapder;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

    它需要执行命令,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

feapder 怎么安装?

在终端执行 openclaw skills install feapder。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

feapder 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

feapder 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install feapder 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

feapder 是免费的吗?

来源标注的许可证是 MIT-0。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。

feapder 用的人多吗?

公开数据是累计安装 7,075 次,近一周安装 289 次,下载 2,266 次。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。

feapder 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
feapder

feapder 效率 · 本页

7,075—执行命令MIT-0有提醒

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

name
feapder
description
Build, modify, and debug feapder 1.9.2 spiders and projects with the framework's native patterns. Use when working on feapder codebases or when requests mention feapder, AirSpider, Spider, TaskSpider, BatchSpider, Request/Response parsing, Item or UpdateItem, pipeline integration, render settings, project scaffolding, or feapder CLI workflows. Also trigger on common Chinese requests such as 编写feapder爬虫, 改feapder项目, 新建AirSpider, 分布式Spider, TaskSpider任务表, BatchSpider批次爬虫, feapder入库, feapder渲染, feapder调试, feapder shell, 生成item, 修改setting.py, or 分析feapder示例代码.

Feapder

Overview

Implement feapder 1.9.2 code in the style expected by the framework's own docs, templates, and tests. Choose the right spider base class first, then follow the matching startup, request, parse, persistence, and debugging patterns.

Workflow Decision Tree

  1. Classify the request before writing code:

- Use AirSpider for small, local, non-distributed jobs. - Use Spider for Redis-backed distributed crawling, resumable queues, and automatic item persistence. - Use TaskSpider when seeds come from MySQL or Redis task tables and the framework should manage seed loading. - Use BatchSpider for periodic batches with batch records and explicit task-state transitions.

  1. Read only the reference file that matches the task:

- Spider selection, CLI scaffolding, and project layout: references/spider-types-and-scaffolding.md - Code patterns for request flow, items, task updates, and render usage: references/code-patterns.md - Settings, pipelines, shell debugging, and upstream source anchors: references/settings-debugging-and-sources.md

  1. Reuse feapder conventions instead of inventing abstractions:

- Import feapder directly and subclass the correct base spider. - Emit work with yield feapder.Request(...). - Keep parsing in parse or explicit callback methods passed through callback=.... - Prefer __custom_setting__ for spider-local overrides and setting.py for project-wide config. - Default to from feapder.utils.log import log and log.info(...) for runtime logs instead of print(...) unless the user explicitly asks to mirror upstream demo output. - Default to concise Chinese log messages and Chinese code comments when comments are needed.

  1. If the user asks to create new feapder code, prefer the framework's generated structure and naming conventions over bespoke layouts.
  2. If the user asks for a simple crawler demo and does not mention persistence, Item, UpdateItem, pipeline wiring, Redis, MySQL, task tables, batch scheduling, distributed workers, or multi-file output, default to the single-file AirSpider style shown in references/vendor/feapder-1.9.2/tests/air-spider/test_air_spider.py: one file, one spider class, minimal startup block, and only the code required to demonstrate the requested behavior.

Working Rules

  • Keep output aligned with feapder 1.9.2, not newer community variants.
  • Prefer minimal, working spider code over framework-agnostic architecture.
  • When the request is underspecified, do not scaffold a full feapder project by default. Write the smallest single-file AirSpider demo only for pure crawling or parsing requests. If the request mentions Item, UpdateItem, 入库, ITEM_PIPELINES, Redis, MySQL, task tables, or batch/task state, choose the corresponding spider and project shape instead.
  • When modifying an existing feapder project, preserve its current spider type, main.py dispatch style, item modules, and setting.py shape unless the user asks for a migration.
  • When persistence is needed, decide explicitly between:

- Manual DB calls with MysqlDB or RedisDB - Automatic batch persistence via Item or UpdateItem - Custom ITEM_PIPELINES

  • When render is required, set render=True on the request and then align downloader configuration with the project's setting.py or __custom_setting__.
  • When handling BatchSpider or TaskSpider, treat master and worker entrypoints separately. Do not collapse them into a single ambiguous startup path.
  • When writing new spider code, default to log.info(...), log.error(...), and similar logger methods for runtime output. Avoid print(...) unless the user explicitly asks for raw console prints or exact upstream reproduction.
  • Write log messages in Chinese by default, for example log.info(f"第{request.page}页原始结果 | {response.json}").
  • Write comments in Chinese by default and only keep comments that clarify non-obvious logic.

Chinese Trigger Hints

Treat these Chinese requests as strong signals to use this skill:

  • 用 feapder 写一个爬虫
  • 帮我改这个 AirSpider
  • 把这个项目迁移到 Spider 或 BatchSpider
  • 写 feapder 的 item / pipeline / setting.py
  • 用 feapder shell 调试
  • 分析 feapder 1.9.2 示例代码

Implementation Checklist

Before finishing a feapder task, verify the code against this checklist:

  • The spider inherits the correct feapder base class.
  • If the task is a pure crawling or parsing demo and does not require persistence or task orchestration, the new spider defaults to the single-file AirSpider pattern anchored by references/vendor/feapder-1.9.2/tests/air-spider/test_air_spider.py.
  • Startup code passes the required constructor args such as redis_key, task_table, task_keys, or batch metadata when needed.
  • Request callbacks, carried parameters, and middleware hooks use feapder's expected method signatures.
  • Distributed spiders update task state where required instead of relying on implicit completion.
  • Item, pipeline, and setting references match the project's existing module layout.
  • Debugging guidance uses feapder-native tools such as feapder shell, to_DebugSpider, or to_DebugBatchSpider when appropriate.
  • New example code uses log for runtime logs, with Chinese log text and Chinese comments unless the user requested a different style.

Source Anchors

Use the vendored feapder 1.9.2 snapshot under references/vendor/ as the source of truth. This keeps the skill portable when copied to another machine:

平台分布

OpenClaw

98.91%
按下载量换算2,241

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install feapder 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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