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x-actionbook-recapx 行动手册回顾

Agent Skill

x-actionbook-recap 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

31,275

周安装

1,253

GitHub Stars

公开资料未说明

下载量

10,124
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:x-actionbook-recap(x 行动手册回顾)
来源仓库:https://github.com/jack4world/x-actionbook-recap
安装命令:
openclaw skills install x-actionbook-recap
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 x-actionbook-recap

简介

使用 Actionbook Rust CLI (actionbook-rs) 工作流程(打开 → 快照/辅助功能树 → 提取“文章”文本)收集、滚动、提取和总结任何句柄的最近 X (Twitter) 帖子(可以选择通过关键字搜索过滤)。当要求分析某个时间窗口(例如过去 7 天)内的句柄、生成中文工作笔记以及从指定帐户发布中性英文回顾(单个帖子或线程)时使用。

SKILL.md

name
x-actionbook-recap
description
Collect, scroll, extract, and summarize recent X (Twitter) posts for any handle (optionally filtered by keyword search) using the Actionbook Rust CLI (actionbook-rs) workflow (open → snapshot/accessibility tree → extract article text). Use when asked to analyze a handle over a time window (e.g., last 7 days), produce Chinese working notes, and publish a neutral English recap (single post or thread) from a specified account.

X recap via actionbook-rs

What this skill is for

Produce a repeatable “collect → extract → summarize → publish” workflow for any X handle (optionally with a keyword) using the actionbook-rs approach:

1) actionbook browser open the profile/search page 2) actionbook browser snapshot to get the accessibility tree (incl. article nodes) 3) (optional) actionbook browser eval to scroll 4) extract post text from article blocks 5) analyze + draft output (Chinese internal notes; English publish) 6) publish on X (neutral tone; optionally attach an image)

Guardrails

  • Infinite scroll is not exhaustive; be explicit about coverage limits.
  • Don’t quote “recent interviews” unless the user provides exact links/timestamps.
  • Publishing is external action: confirm the target account + final copy before posting.

Workflow

1) Collect posts (Actionbook)

Pick one entry point:

  • Profile: https://x.com/<handle>
  • Search (keyword + optional recency): https://x.com/search?q=from%3A<handle>%20<keyword>&src=typed_query&f=live

Commands (example):

# open (profile)
actionbook browser open "https://x.com/<handle>"

# snapshot (repeat after each scroll)
actionbook browser snapshot --refs aria --depth 18 --max-chars 12000

# scroll a bit
actionbook browser eval "window.scrollBy(0, 2200)"

Extraction heuristic:

  • In snapshots, locate article nodes that contain the post text.
  • Record for each post:

- text (verbatim) - timestamp shown (relative or absolute) - URL if present - whether it’s a repost/quote (note it)

Stop condition:

  • You have enough coverage for the user’s time window (e.g., 7 days) OR diminishing returns.

2) Summarize (Chinese notes)

Write a compact Chinese working summary:

  • themes (3–6 bullets)
  • representative posts (links)
  • what’s missing / uncertainty

3) Draft publish copy (English, neutral)

Choose output type:

  • Single post (≤280 chars) OR
  • Thread (6–10 parts) if needed

Use neutral framing:

  • “Observation from public posts …”
  • avoid mind-reading; separate “what he said” from interpretation

Use templates in references/templates.md.

4) Image (optional but recommended)

Preferred options (no Python required):

  • Clean crop of the relevant post (browser screenshot at 1280×720 + zoom)
  • A simple HTML/SVG card rendered in browser and screenshotted (see references/image-card.md)

5) Publish on X

If using OpenClaw browser automation:

  • open compose
  • paste final English copy
  • upload image (if any)
  • post / thread

Confirm before posting:

  • target handle (e.g., @gblwll)
  • final text
  • image choice

Bundled references

  • references/templates.md — recap + thread templates (English)
  • references/checklist.md — extraction checklist + caveats
  • references/image-card.md — HTML/SVG card approach (no Pillow)

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

79.82%
按下载量换算8,081

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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