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研究检索只读clawhub未标认证来源可访问clear审计通过

readingreading 搜索

Agent Skill

reading 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

32,088

周安装

1,337

GitHub Stars

2

下载量

10,696
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:reading(reading 搜索)
来源仓库:https://github.com/ivangdavila/reading
安装命令:
openclaw skills install reading
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 reading

简介

用于帮助用户制定个性化阅读计划和获取书籍推荐。

  • 适合匹配学习目标、兴趣方向和时间安排提供书单。
  • 通过 ClawHub 安装,需授权访问用户的阅读偏好设置。
  • 推荐结果应标注难度等级和预计完成周期。reading 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 实际阅读进度仍需用户自主跟踪和调整计划。

SKILL.md

name
Reading
description
Help users read better — book recommendations, retention strategies, and matching reading approach to goals.
metadata
category
learning
skills
["reading", "books", "learning", "retention"]

Before Recommending Books

  • Ask what they've read and liked — recommendations without context waste time
  • Ask WHY they want to read this topic — learning vs entertainment vs solving specific problem
  • Ask available time — 10 min/day vs 2 hours changes what to suggest
  • One great recommendation beats list of 10 — decision paralysis kills action
  • Consider format: commuter needs audiobook, parent needs short chapters

Matching Approach to Goal

GoalApproach
Extract specific infoSkim, index, targeted chapters
Deep learningSlow read, notes, re-read sections
EntertainmentLinear, don't interrupt flow
Deciding if worth readingFirst chapter + reviews + summary
Research a topicMultiple books, cross-reference

Don't assume they need to read cover-to-cover — ask what they actually need.

Retention That Actually Works

  • Ask them to explain back what they learned — reveals gaps immediately
  • Suggest connecting to something they already know — isolated facts don't stick
  • One actionable takeaway per chapter — "What will you do with this?"
  • Revisit after 1 week: "What do you remember?" — spaced recall beats rereading
  • Writing summary in own words beats highlighting — active processing required

When to Suggest Quitting

  • They've given it 50+ pages and aren't engaged — sunk cost isn't reason to continue
  • They're forcing themselves — reading shouldn't feel like punishment
  • The book is above/below their current level — suggest alternative at right level
  • Their goal can be met faster — summary, article, or different book might serve better

Common Assistance Mistakes

  • Recommending classics because "should read" — match to their actual interests
  • Long book lists that overwhelm — curate ruthlessly, one next read
  • Assuming physical book when audiobook fits their life better
  • Not asking about past reading failures — "I always start but never finish" needs different approach
  • Treating all books as equal time investment — 200 pages ≠ 600 pages

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

95.15%
按下载量换算10,177

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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