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x-timeline-digestx 时间线摘要

Agent Skill

x-timeline-digest 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

78,703

周安装

3,215

GitHub Stars

9

下载量

25,206
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-timeline-digest(x 时间线摘要)
来源仓库:https://github.com/seandong/x-timeline-digest
安装命令:
openclaw skills install x-timeline-digest
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-timeline-digest

简介

使用 Bird 从 X (Twitter) For You 和以下时间线构建重复数据删除摘要。输出用于上游传送的有效负载。

SKILL.md

name
x-timeline-digest
version
1.0.2
description
Build a deduplicated digest from X (Twitter) For You and Following timelines using bird. Outputs a payload for upstream delivery.
homepage
https://github.com/seandong
metadata
{"openclaw":{"emoji":"🐦","requires":{"bins":["bird"]}}}

x-timeline-digest

Overview

This skill uses bird to read X/Twitter timelines and build a high-signal digest. Sources:

  • For You timeline
  • Following timeline

What it does:

  1. Fetch recent tweets
  2. Filter incrementally (avoid reprocessing)
  3. Deduplicate (ID + near-duplicate text)
  4. Rank and trim
  5. Generate a Chinese digest
  6. Output a structured payload
Delivery (Telegram, email, etc.) is NOT handled here. Upstream OpenClaw workflows decide how to notify users.

Configuration

All config is read from: skills.entries["x-timeline-digest"].config

Config fields

NameTypeDefaultDescription
intervalHoursnumber6Interval window in hours
fetchLimitForYounumber100Tweets fetched from For You
fetchLimitFollowingnumber60Tweets fetched from Following
maxItemsPerDigestnumber25Max tweets in one digest
similarityThresholdnumber0.9Near-duplicate similarity threshold
statePathstring~/.openclaw/state/x-timeline-digest.jsonState file path

Dependencies

  • bird must be installed and available in PATH
  • bird must already be authenticated (cookie login)
  • Read-only usage

Usage

1. Basic (Raw JSON)

Run the digest generator to get a clean, deduplicated JSON payload:

node skills/x-timeline-digest/digest.js

2. Intelligent Digest (Recommended)

To generate the "Smart Brief" (Categorized, Summarized, Denoised):

  1. Run the script: node skills/x-timeline-digest/digest.js > digest.json
  2. Read the prompt template: read skills/x-timeline-digest/PROMPT.md
  3. Send the prompt to your LLM, injecting the content of digest.json where {{JSON_DATA}} is.

*Note: The script automatically applies heuristic filtering (removes "gm", ads, short spam) before outputting JSON.*

Bird Commands Used

For You timeline: bird home -n <N> --json Following timeline: bird home --following -n <N> --json


State Management

State is persisted to statePath.

State structure

{ "lastRunAt": "2026-02-01T00:00:00+08:00", "sentTweetIds": { "123456789": "2026-02-01T00:00:00+08:00" } }

Rules

  • Tweets already in sentTweetIds must not be included again
  • After a successful run:
  • Update lastRunAt
  • Add pushed tweet IDs to sentTweetIds
  • Keep IDs for at least 30 days

Processing Pipeline

  1. Fetch from For You and Following
  2. Incremental filter using lastRunAt
  3. Hard deduplication by tweet id
  4. Near-duplicate merge using text similarity
  5. Rank and trim to maxItemsPerDigest
  6. Generate a Categorized Chinese Digest (via PROMPT.md + LLM)

- Categories: 🤖 AI & Tech, 💰 Crypto & Markets, 💡 Insights, 🗞️ Other - Language: Simplified Chinese - Format: Author: Summary - Denoising: Remove ads and low-value content


Output

The skill returns one JSON object: { "window": { "start": "2026-02-01T00:00:00+08:00", "end": "2026-02-01T06:00:00+08:00", "intervalHours": 6 }, "counts": { "forYouFetched": 100, "followingFetched": 60, "afterIncremental": 34, "afterDedup": 26, "final": 20 }, "digestText": "中文摘要内容", "items": [ { "id": "123456", "author": "@handle", "createdAt": "2026-02-01T02:15:00+08:00", "text": "tweet text", "url": "https://x.com/handle/status/123456", "sources": ["following"] } ] }

适合场景

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用户想查找某类 Agent Skill 时

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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

77.2%
按下载量换算19,459

安全审计

VirusTotal

通过

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。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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