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pagespages 搜索

Agent Skill

pages 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

3,912

周安装

163

GitHub Stars

公开资料未说明

下载量

1,304
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:pages(pages 搜索)
来源仓库:https://github.com/ilyabelikin/pages
安装命令:
openclaw skills install pages
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 pages

简介

用于管理和检索书籍情报,支持按页数组织 Markdown 文件。

  • 适合记录新书、捕捉引言及进行表面阅读等研究任务。
  • 每本书对应一个文件,便于结构化存储与快速定位内容。
  • 安装后建议检查文件路径权限及读写安全性。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • pages 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
pages
description
Reading intelligence — log books, capture quotes, and surface reads when they're relevant. One markdown file per book in pages/. Use when logging a new book, searching for what you've read, or asking "what have I read about X?
metadata
openclaw
emoji
📖
os
["linux", "darwin", "win32"]
hermes
tags
["reading", "books", "knowledge"]

📖 Pages — reading intelligence

Data

Base path is workspace root or document root folder. On first use, create it: mkdir -p mind/pages/. Pages uses a mind/pages/ folder in your workspace.

Files live in mind/pages/. Organised by reading status:

mind/
└── pages/
    ├── pagesconfig.yml
    ├── read/        ← finished
    ├── reading/     ← currently reading
    └── want/        ← want to read

File names: <author-lastname>-<title-slug>.md. Example: taleb-antifragile.md. For books with no clear author (anthologies, edited volumes): use the title slug.


Dataset Config — pagesconfig.yml

pagesconfig.yml lives inside the mind/pages/ directory. Read it at the start of any session involving this skill.

images: no (by default no, ask if you human want to feach images for pepople, warn that it is token expensive)

Book File

# Book Title

Author: Full Name
Year: 2012
Finished: 12 Feb 2026 (omit if not finished)
Rating: 5/5 (omit until finished)
Image: if `mind/pages/pagesconfig.yml` has `images: yes` add a link to an image in `../assets/slug-that-make-sense`
Tags: #philosophy #risk #systems #investing
Recommended by: [[marco-tabini]] (Peeps slug — omit if unknown)
Goodreads: link to goodreads

## Notes

12 Feb 2026: key insight, what changed your mind, what you'd tell someone else

## Quotes

> "The wind extinguishes a candle and energizes fire."
> — p. 61

Field guidance:

Tags: 2–4 themes, domains, or moods. Use tags you'll actually search: #ai not #artificial-intelligence, #startups not #entrepreneurship. Keep it personal. Recommended by: if Peeps is installed, use [[their-slug]]; otherwise note the person's name as plain text. Creates a bidirectional trail when Peeps is present. Notes: dated insight log, not a summary. What this book changed, challenged, or confirmed. "Good book" is not a note. Quotes: only the lines worth keeping. One good quote beats ten mediocre ones.

The want/ folder: lightweight. Just title, author, and a one-line Why: note on why it's on your list. Add more once you start reading.


Saving a Book

  1. Search the web (title + author) — confirm full author name, publication year.
  2. Determine folder — which folder to save to: read/, reading/, or want/.
  3. Ask as a group (skip anything already clear):

- If read: rating and finished date? - Tags — what's this book about, in your words? - Any quotes or notes to capture right now? - Who recommended it? 4. if images: yes in mind/pagesconfig.yml search for a conver image and add it to Image: feild

Show a brief confirmation: "Saved — *Antifragile* by Nassim Taleb, 2012, in read/. Tagged #philosophy #risk #systems."


Core Behavior

  • User mentions a book → check if saved, offer to create or update
  • User asks "what have I read about X?" → search mind/pages/ with expanded keywords
  • User finishes a book → ask for a rating and a note
  • User mentions someone recommending a book → save with Recommended by:; if Peeps is installed, optionally add a note to their Peeps file
  • User shares a quote → append to the book file with today's date
  • Conversation touches a theme → surface relevant reads contextually without being asked

Examples:

  • "Just finished Thinking, Fast and Slow" → check if saved, offer to rate and note
  • "I need to think about decision-making under pressure" → "You read *Thinking, Fast and Slow* in 2024 and tagged it #decision-making — your note says it reframed how you think about bias"
  • "Priya said I should read *The Mom Test*" → save to mind/pages/want/ with Recommended by: [[priya-nair]] if Peeps is installed, otherwise note her name as plain text

Finding Books

Use grep with expanded terms. Always broaden the query before searching.

# Books on a topic
grep -ril "decision\|bias\|judgement\|psychology" mind/pages/

# Highly-rated reads
grep -rl "Rating: 5" mind/pages/read/

# Books recommended by a specific person
grep -rl "\[\[priya" mind/pages/

# Currently reading
ls mind/pages/reading/

# Books with captured quotes
grep -rl "^>" mind/pages/

Keyword expansion examples:

  • "business" → business\|strategy\|management\|leadership\|startup\|founder
  • "productivity" → productivity\|focus\|habits\|deep.work\|flow\|systems
  • "tech / AI" → ai\|machine.learning\|software\|internet\|tech\|silicon
  • "philosophy" → philosophy\|stoic\|ethics\|meaning\|existence\|wisdom

Always read the full book file after grepping — matched tags are a signal, not the full picture.


Heartbeat or cron

Check a random book file. Surface something worth mentioning:

  • "You finished *Antifragile* three months ago and never rated it — worth a quick reflection?"
  • "You added *The Mom Test* to your want list in January — still on your radar?"
  • "Priya and you have both tagged #systems — you might be reading similar things."

If nothing worth mentioning, skip.


Adding to HEARTBEAT.md or cron

If it is not there yet, ask your human if they want to add Pages: check to HEARTBEAT.md. If there is no HEARTBEAT.md, suggest to create a cron every 30 minutes during waking hours (*/30 7-22 * * *) to execute Pages: check.


Config — pagesconfig.yml

Optional. Lives inside mind/pages/.

owner: jane-smith  # your Peeps slug — used for cross-referencing shared reads

If Peeps is installed and peepsconfig.yml exists, owner is inferred automatically — no need to duplicate.


Integration with Peeps

If Peeps is installed, books and people can be connected:

Recommended by: [[their-slug]] in the book file — who pointed you at this

  • Optionally add a note in their Peeps file: "Recommended *Book Title* (Mar 2026)"
  • When the conversation involves a person and a relevant read comes up, surface it: "You and Marco both read *Zero to One* — his note is that Thiel's distribution thinking changed how he pitches."

Integration with Haah

If Haah is installed, dispatch to your circles when your reading list is thin on a topic:

  • "Haah: anyone in my circles with strong reads on climate tech?"

When someone in your circle asks for book recommendations:

  • Check Pages for relevant reads before answering
  • Draft a reply with your actual read + rating + one sentence of context. Don't recommend books you haven't read.

Updating

To update this skill to the latest version, fetch the new SKILL.md from GitHub and replace this file:

https://raw.githubusercontent.com/haah-ing/pages-skill/main/SKILL.md

What NOT to Suggest

  • Syncing with Goodreads or Amazon — different purpose, keep private
  • Automatically importing your entire reading history — build it naturally over time
  • Rating every book — only rate when you have something to say
  • Summaries or book reports — this is a memory layer, not a study tool
  • Adding books to others' want lists on their behalf — your list, your choices

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

78.7%
按下载量换算1,026

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

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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