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Agent Skill · 效率

x-smart-read(x 智能阅读)

x-smart-read 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

x-smart-read 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 3,294。

总安装 18,271周安装 732GitHub Stars 公开资料未说明下载 5,915核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.4

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-smart-read(x 智能阅读)
来源仓库:https://github.com/nevaaron/x-smart-read
安装命令:
openclaw skills install x-smart-read
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-smart-read

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

x-smart-read 提供个人 X (Twitter) 数据分析服务,涵盖时间线参与度与关注者统计。适用于跟踪自身社交表现、分析提及频率或生成个性化简报的场景。支持阅读任意推文、书签管理与话题追踪,整合 X API v2 数据源。

安装命令为 openclaw skills install x-smart-read,需配置 Twitter API v2 访问令牌。使用前请确认 API 权限级别与数据隐私保护策略,避免敏感信息泄露。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install x-smart-read;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

x-smart-read 怎么安装?

在终端执行 openclaw skills install x-smart-read。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

x-smart-read 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

x-smart-read 需要什么权限?

权限级别是需要联网。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。

x-smart-read 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

x-smart-read 用的人多吗?

公开数据是累计安装 18,271 次,近一周安装 732 次,下载 5,915 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

x-smart-read 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
x-smart-read

x 智能阅读 · 本页

18,271—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
x-twitter
description
>
metadata
{"openclaw":{"emoji":"𝕏","requires":{"bins":["uv"]}}}

X (Twitter) Personal Analytics

Monitor your X account — posts, engagement, mentions, followers. Read any tweet. Built for daily briefings and accountability.

Triggers

Use this skill when the user asks about:

  • Their X / Twitter posts, timeline, or engagement
  • Mentions, replies, or who's talking about them on X
  • Follower count, profile stats, follower growth
  • "What's happening on my X?" / "How are my posts doing?"
  • "Check my Twitter mentions" / "Any new replies?"
  • Morning briefing / daily social media summary
  • "Am I on X too much?" / accountability check
  • Reading a specific tweet or thread (user sends a tweet URL)
  • "What did @someone say?" / reading other people's tweets
  • Bookmarking or saving tweets for later
  • X/Twitter analytics or performance

Prerequisites

Run setup first (imports credentials from ~/.openclaw/.env or prompts interactively):

uv run scripts/x_setup.py

Commands

Briefing — combined morning summary

# Full briefing: your posts + mentions + profile (last 24h, ~$0.02)
uv run scripts/x_briefing.py

# Custom lookback period
uv run scripts/x_briefing.py --hours 48

# Preview cost
uv run scripts/x_briefing.py --dry-run

Timeline — your posts + engagement

# Recent posts with engagement metrics
uv run scripts/x_timeline.py recent

# Last 5 posts
uv run scripts/x_timeline.py recent --max 5

# Posts from last 24 hours
uv run scripts/x_timeline.py recent --hours 24

# Top posts by engagement (from local store, no API call)
uv run scripts/x_timeline.py top --days 7

# Refresh metrics for a specific tweet
uv run scripts/x_timeline.py refresh TWEET_ID

# Accountability check — are they on X right now?
uv run scripts/x_timeline.py activity

Mentions — who's talking to/about you

# Recent mentions
uv run scripts/x_mentions.py recent

# Mentions from last 24 hours
uv run scripts/x_mentions.py recent --hours 24

# Mentions with context (shows what they replied to — costs extra)
uv run scripts/x_mentions.py recent --context

Read — fetch any tweet or thread

# Read a tweet by URL
uv run scripts/x_read.py https://x.com/user/status/123456

# Read by bare ID
uv run scripts/x_read.py 123456

# Fetch full thread
uv run scripts/x_read.py 123456 --thread

# Preview cost
uv run scripts/x_read.py --dry-run https://x.com/user/status/123456

Bookmarks — save and manage

# List your bookmarks
uv run scripts/x_bookmarks.py list

# Bookmark a post
uv run scripts/x_bookmarks.py add TWEET_ID

# Remove a bookmark
uv run scripts/x_bookmarks.py remove TWEET_ID

User Profile — stats + follower tracking

# Your profile stats
uv run scripts/x_user.py me

# Track follower changes over time
uv run scripts/x_user.py me --track

# Look up another user
uv run scripts/x_user.py lookup someuser

Setup & Spend

# Validate credentials
uv run scripts/x_setup.py --check

# Show config (secrets redacted)
uv run scripts/x_setup.py --show

# Weekly spend summary
uv run scripts/x_setup.py --spend-report

# 30-day spend report
uv run scripts/x_setup.py --spend-report --days 30

# Set budget mode
uv run scripts/x_setup.py --budget-mode relaxed

# Print version
uv run scripts/x_setup.py --version

Cost Control Flags (all scripts)

# Preview cost without making the API call
uv run scripts/x_timeline.py --dry-run recent

# Override budget guard
uv run scripts/x_timeline.py --force recent

# Skip all budget checks and warnings
uv run scripts/x_timeline.py --no-budget recent

Workflows

Morning Brief

uv run scripts/x_briefing.py

Single command replaces running timeline + mentions + user separately. Costs ~$0.02.

Accountability Check

uv run scripts/x_timeline.py activity

Use this when the user should be working — it shows when they last posted and how active they've been. Nudge them if they're spending too much time on X.

Weekly Review

uv run scripts/x_timeline.py top --days 7
uv run scripts/x_user.py me --track

Agent Guidelines — READ THIS BEFORE CALLING ANY COMMAND

Every command costs real money. The X API charges per request. Follow these rules to minimize spend:

Rules

  1. Never call the same command twice in one conversation unless the user explicitly asks for fresh data. The scripts cache locally — if you already ran recent this session, just reference those results.
  2. Prefer top over recent for repeat questions. top reads from the local store for free ($0). recent hits the API ($0.005).
  3. Don't use --context on mentions by default. It costs an extra $0.005 per reply thread it fetches. Only add it if the user specifically asks "what were they replying to?"
  4. Use --max 5 for quick checks. Default is 10-20. If the user just wants a summary, pull fewer.
  5. Use --hours 24 for briefings. Don't pull the full timeline when they just want "what happened today."
  6. Never run all scripts unprompted. If the user asks "what's happening on my X?", use x_briefing.py instead of running 3 separate commands.
  7. For accountability checks, use activity only. It's a single API call. Don't also pull mentions and profile — that triples the cost.
  8. top and refresh are your friends. top is free (local data). refresh TWEET_ID updates just one tweet ($0.005) — use it when they ask "how's my last post doing?" instead of re-pulling the whole timeline.
  9. Watch the daily spend total. Every command output shows "Today's spend: $X.XXX". If it's approaching the budget limit, tell the user before making more calls.
  10. Never loop or retry on your own. If a command fails (402, rate limit, etc.), report the error. Don't retry automatically.
  11. x_read.py caches tweets — if the user asks about the same tweet again, it's already in the local store. No need to re-fetch.
  12. Use x_briefing.py for morning briefings instead of running timeline + mentions + user separately. It's cheaper ($0.02 vs $0.02 for 3 separate commands) and cleaner output.

Cost Reference

ActionCostWhen to use
x_briefing.py$0.02Morning briefing — one command does it all
recent$0.005Once per briefing, or when user asks for new posts
top$0Anytime — serves from local store
activity$0.005Accountability check, once per session max
refresh ID$0.005User asks about a specific post's performance
mentions recent$0.005Once per briefing, or user asks about replies
mentions --context$0.005-0.03Only when user explicitly wants reply context
x_read.py URL$0.005User sends a tweet URL or asks to read a post
x_read.py --thread$0.005-0.01User asks for full thread
x_bookmarks.py list$0.005User wants to see saved bookmarks
x_bookmarks.py add/remove$0Write actions are free
user me$0.01Profile check, once per day is plenty
user me --track$0.01Morning brief only — saves follower delta
user lookup$0.01Only when user asks about another account
--spend-report$0Check spending anytime
--dry-run$0Preview cost before any command

Budget Modes

The user can set a budget enforcement mode via x_setup.py --budget-mode:

  • guarded (default): Warn at 50/80/100%, block at limit
  • relaxed: Warn at 50/80/100%, never block
  • unlimited: No warnings, no blocks

Budget Tiers

The user set a daily budget during setup. The scripts will warn and block when the limit is hit:

  • lite: $0.03/day (~1 briefing)
  • standard: $0.10/day (~3-5 checks)
  • intense: $0.25/day (~10+ checks)

If blocked, tell the user: "Daily X API budget reached. Use --force to override, or wait until tomorrow."

What NOT to do

  • Don't run commands "just to have fresh data" — only fetch when the user needs it
  • Don't use --no-cache unless debugging
  • Don't call user lookup on multiple accounts in a loop
  • Don't refresh every tweet's metrics — only refresh specific ones the user asks about
  • Don't combine recent + mentions + user in one response — use x_briefing.py instead

平台分布

OpenClaw

87.53%
按下载量换算5,177

安全审计

VirusTotal

通过

ClawScan

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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