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bookwormbookworm 分析

Agent Skill

bookworm 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

10,090

周安装

429

GitHub Stars

公开资料未说明

下载量

3,535
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:bookworm(bookworm 分析)
来源仓库:https://github.com/ckchzh/bookworm
安装命令:
openclaw skills install bookworm
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 bookworm

简介

记录书籍、跟踪阅读习惯并回顾一段时间内的阅读情况。在记录阅读内容、维护目标或分析类型偏好时使用。

SKILL.md

version
2.0.0
name
bookworm
description
Log books, track reading habits, and review reading streaks over time. Use when recording reads, maintaining goals, or analyzing genre preferences.
author
BytesAgain
homepage
https://bytesagain.com
source
https://github.com/bytesagain/ai-skills

Bookworm

Bookworm v2.0.0 — a productivity toolkit for logging, planning, tracking, reviewing, and organizing your work and reading habits from the command line.

Why Bookworm?

  • Designed for everyday personal productivity use
  • No external dependencies, accounts, or API keys needed — your privacy, your data
  • Simple commands with powerful results
  • All data stored locally in plain-text log files
  • Export to JSON, CSV, or TXT at any time

Commands

CommandUsageDescription
addbookworm add <input>Add a new entry (book, task, note) to your log
planbookworm plan <input>Record a plan or goal for future action
trackbookworm track <input>Track progress on an ongoing activity
reviewbookworm review <input>Log a review or reflection on completed work
streakbookworm streak <input>Record streak data for daily habit tracking
remindbookworm remind <input>Set a reminder note for follow-up
prioritizebookworm prioritize <input>Mark or log priority items
archivebookworm archive <input>Move completed items to the archive
tagbookworm tag <input>Add tags or labels to organize entries
timelinebookworm timeline <input>Log timeline milestones or events
reportbookworm report <input>Generate or log a report entry
weekly-reviewbookworm weekly-review <input>Perform a weekly review and log insights
statsbookworm statsShow summary statistics across all log files
exportbookworm export <fmt>Export all data (json, csv, or txt)
searchbookworm search <term>Search across all log files for a keyword
recentbookworm recentShow the 20 most recent history entries
statusbookworm statusHealth check — version, entry count, disk usage
helpbookworm helpShow the help message with all commands
versionbookworm versionPrint the current version

All entry commands (add, plan, track, review, streak, remind, prioritize, archive, tag, timeline, report, weekly-review) work the same way:

  • With arguments: saves a timestamped entry to <command>.log and logs to history.log
  • Without arguments: displays the 20 most recent entries from that command's log

Data Storage

All data is stored in ~/.local/share/bookworm/:

  • add.log, plan.log, track.log, etc. — one log file per command
  • history.log — unified activity log across all commands
  • export.json / export.csv / export.txt — generated export files

Each entry is stored as YYYY-MM-DD HH:MM|<value> (pipe-delimited timestamp and content).

Requirements

  • Bash (with set -euo pipefail)
  • Standard Unix utilities: date, wc, du, grep, head, tail, cat
  • No external dependencies, no Python, no API keys

When to Use

  1. Daily reading log — Use bookworm add "Finished Chapter 5 of Sapiens" to maintain a running log of your reading progress day by day.
  2. Habit streak tracking — Use bookworm streak "Day 15 of reading 30min/day" to record consecutive-day habits and review your consistency over time.
  3. Weekly reflection — Use bookworm weekly-review "Read 3 books, favorite was Project Hail Mary" at the end of each week to capture insights and progress.
  4. Priority management — Use bookworm prioritize "Must finish Design Patterns by Friday" to flag high-priority items and review them with bookworm prioritize.
  5. Data export for analysis — Use bookworm export json to export all your logged data into a structured format for further analysis in spreadsheets or scripts.

Examples

# Add a book to your reading list
bookworm add "The Pragmatic Programmer - Hunt & Thomas"

# Plan your reading goals for the month
bookworm plan "Read 4 books in March: 2 fiction, 2 non-fiction"

# Track reading progress
bookworm track "Sapiens - Chapter 8/21 complete"

# Log a book review
bookworm review "Clean Code: Excellent guide to writing maintainable software. 5/5"

# Record a reading streak
bookworm streak "Day 30 - read every day this month!"

# Set a reminder
bookworm remind "Return library books by March 25"

# Tag entries for organization
bookworm tag "Sapiens #non-fiction #history #favorite"

# View summary statistics
bookworm stats

# Search for a specific book or keyword
bookworm search "Sapiens"

# Export everything to CSV
bookworm export csv

# Check system status
bookworm status

Configuration

Data directory: ~/.local/share/bookworm/ (hardcoded, no environment variable override).

Output

All commands print results to stdout. Redirect output to a file if needed:

bookworm stats > my-stats.txt
bookworm export json
Note: This is an original, independent implementation by BytesAgain. Not affiliated with or derived from any third-party project.

Powered by BytesAgain | bytesagain.com | hello@bytesagain.com

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

96.39%
按下载量换算3,407

安全审计

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权限和风险

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

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