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koreader-highlights韩国读者精选

Agent Skill

koreader-highlights 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

10,506

周安装

425

GitHub Stars

公开资料未说明

下载量

3,298
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:koreader-highlights(韩国读者精选)
来源仓库:https://github.com/myugan/koreader-highlights
安装命令:
openclaw skills install koreader-highlights
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 koreader-highlights

简介

koreader-highlights 用于检索 KOReader 阅读器的重点标记、笔记及历史记录,帮助用户回顾书籍内容。

  • 当询问某本书的读书摘要或高亮段落时自动激活,适合深度阅读辅助场景。
  • 输出格式为结构化文本,便于导出或二次加工。
  • 依赖本地 KOReader 数据库完整性,若未同步则可能无有效结果返回。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
koreader-highlights
description
>

KOReader Highlights Skill

<IMPORTANT> NEVER put commands, code, JSON, file paths, or errors in your reply to the user. Run all commands via your tool/bash function. Only reply with clean human-readable text. If something fails, say it in plain words without technical details. </IMPORTANT>

Step 1: Find the highlights directory

Run this via your tool (NOT in your reply):

find ~/Dropbox/Apps -name "*.sdr.json" -maxdepth 2 2>/dev/null | head -5
  • If results come back, the directory is the parent folder of those files.
  • If nothing comes back, ask the user: "I couldn't find your KOReader highlights. What's the name of your HighlightSync folder under Dropbox/Apps?"
  • Save the discovered path in MEMORY.md for future sessions.

Step 2: List books

Run via tool:

ls ~/Dropbox/Apps/<APP_NAME>/*.sdr.json 2>/dev/null

Each .sdr.json file = one book. The book title is the filename without .sdr.json. Example: Designing Data-Intensive Applications.sdr.json → book title is "Designing Data-Intensive Applications"

Reply to user like: "You have 5 books in your library: ..." (list the titles)

Step 3: Read highlights from a book

Run via tool:

python3 -c "
import json
with open('<FULL_PATH_TO_FILE>') as f: data=json.load(f)
for h in data: print(h.get('datetime',''), '|', h.get('chapter',''), '|', h.get('pageno',''), '|', h.get('text','')[:200])
"

Reply with the highlights formatted naturally:

  • "From chapter *X*, page Y (March 6, 2026): [highlight text]"

Step 4: Search across all books

Run via tool:

python3 -c "
import json, glob, os
for f in glob.glob(os.path.expanduser('~/Dropbox/Apps/<APP_NAME>/*.sdr.json')):
    title = os.path.basename(f).replace('.sdr.json','')
    data = json.load(open(f))
    for h in data:
        if '<SEARCH_TERM>'.lower() in h.get('text','').lower() or '<SEARCH_TERM>'.lower() in h.get('notes','').lower():
            print(title, '|', h.get('pageno',''), '|', h.get('text','')[:200])
"

Step 5: Latest highlights

Run via tool:

python3 -c "
import json, glob, os
all_h = []
for f in glob.glob(os.path.expanduser('~/Dropbox/Apps/<APP_NAME>/*.sdr.json')):
    title = os.path.basename(f).replace('.sdr.json','')
    data = json.load(open(f))
    for h in data:
        if h.get('datetime'): all_h.append((h['datetime'], title, h.get('chapter',''), h.get('pageno',''), h.get('text','')))
all_h.sort(reverse=True)
for dt,t,ch,pg,tx in all_h[:10]: print(dt, '|', t, '|', ch, '|', pg, '|', tx[:200])
"

.sdr.json format

Each file is a flat JSON array. Here is a real example:

[{"datetime":"2026-03-06 18:42:42","chapter":"Why You Might Need a Sharded Cache","pageno":192,"page":"/body/DocFragment[25]/body/p[41]/text().0","text":"in Why You Might Need a Sharded Cache"},{"datetime":"2026-03-07 09:07:13","pageno":192,"page":"/body/DocFragment[25]/body/p[48]/text().10","drawer":"lighten","chapter":"Why You Might Need a Sharded Cache","pos0":"/body/DocFragment[25]/body/p[48]/text().10","pos1":"/body/DocFragment[25]/body/p[49]/text().33","text":"the primary reason for sharding any service is to increase the size of the\
data being stored in the service.","color":"gray"}]

Fields you SHOW to the user: text, datetime, chapter, pageno, notes (if present). Fields you IGNORE (internal, never show): page, drawer, color, pos0, pos1.

Notes:

  • Field order is NOT fixed — fields can appear in any order within an entry.
  • drawer, color, pos0, pos1 are optional — not every entry has them.
  • notes is optional — only present when the user wrote an annotation.
  • text may contain `\

` newlines.

Error handling

If ANY command fails, NEVER show the error to the user. Instead say one of:

  • "I couldn't find your highlights directory. Is Dropbox synced?"
  • "I couldn't read that book's highlights. The file might be empty or corrupted."
  • "No highlights matched your search."
  • "I ran into a problem reading your data. Could you check if the file exists?"

Must refuse

  • Modify, delete, or write any file (except workspace memory)
  • Anything unrelated to book highlights
  • Creating scripts or files on disk
  • Network operations

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

93.49%
按下载量换算3,083

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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 warning/failed 结果,不能写成本站确认安全。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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