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Agent Skill · 效率

ai-news-pipeline(AI 新闻管道)

ai-news-pipeline 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。

ai-news-pipeline 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 6,860。

总安装 8,811周安装 353GitHub Stars 公开资料未说明下载 2,852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
1.0.4

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:ai-news-pipeline(AI 新闻管道)
来源仓库:https://github.com/nighmat1220/ai-news-pipeline
安装命令:
openclaw skills install ai-news-pipeline
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 ai-news-pipeline

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。

独立运行中外 AI 新闻流水线,专注高频 RSS 实时整理。当用户只需快速获取新闻线索时可触发此技能执行抓取。支持并行处理多个信源,提升信息获取效率与覆盖面。ai-news-pipeline 属于效率类 Skill,可作为该场景下的辅助能力补充。数据存储于本地工作空间,注意定期归档防止空间不足。

安装命令明确,兼容 OpenClaw 环境直接调用执行任务。

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 ai-news-pipeline;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

ai-news-pipeline 怎么安装?

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

ai-news-pipeline 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。

ai-news-pipeline 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。

ai-news-pipeline 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。

ai-news-pipeline 用的人多吗?

公开数据是累计安装 8,811 次,近一周安装 353 次,下载 2,852 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。

ai-news-pipeline 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
ai-news-pipeline

AI 新闻管道 · 本页

8,811—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
ai-news-pipeline
description
Run a self-contained Chinese and international AI news workflow inside the current workspace. Use when the user wants either high-frequency RSS capture only or scheduled report delivery only, with cumulative Excel outputs and a merged Word brief, without relying on an external local repository path.

AI News Pipeline

Overview

This skill is executable by itself. The actual workflow scripts are bundled in scripts/. Run them against the current workspace or pass --workspace /path/to/workspace explicitly.

Workspace Requirements

The target workspace should contain or accept these files and folders:

  • config/sources.json
  • config/international_sources.json
  • companies.txt
  • data/
  • reports/
  • state/

If the folders do not exist, the scripts create them.

Install Dependencies

Install Python dependencies before first use:

python -m pip install -r /path/to/skill/scripts/requirements.txt

Available Entrypoints

Use the bundled Python entrypoints depending on the job type.

Capture Only

Use this for high-frequency collection jobs. It only captures feeds, updates deduplication state, and writes raw and incremental data.

python /path/to/skill/scripts/run_capture_only.py --workspace /path/to/workspace

Report Only

Use this for scheduled delivery jobs. It reads already-collected data, calls the model for summaries and titles, updates the cumulative Excel files, and rebuilds the Word brief.

By default it uses the reporting window from yesterday 00:00 to today 08:00.

python /path/to/skill/scripts/run_report_only.py --workspace /path/to/workspace

Optional time window:

python /path/to/skill/scripts/run_report_only.py --workspace /path/to/workspace --time-window "2026-03-15 00:00 to 2026-03-16 08:00"

Optional skip-AI mode:

python /path/to/skill/scripts/run_report_only.py --workspace /path/to/workspace --disable-ai

Full Workflow

python /path/to/skill/scripts/run_full_workflow.py --workspace /path/to/workspace

Optional time window:

python /path/to/skill/scripts/run_full_workflow.py --workspace /path/to/workspace --time-window "2026-03-15 00:00 to 2026-03-15 18:00"

Optional skip-AI mode:

python /path/to/skill/scripts/run_full_workflow.py --workspace /path/to/workspace --disable-ai

What Each Entrypoint Does

run_capture_only.py

  1. Collect domestic RSS items into data/YYYY-MM-DD.jsonl.
  2. Collect domestic raw items into data/domestic_raw_YYYY-MM-DD.jsonl.
  3. Collect international raw items into data/international_raw_YYYY-MM-DD.jsonl.
  4. Filter international items into data/international_YYYY-MM-DD.jsonl.
  5. Save per-source snapshots in snapshots/.
  6. Update RSS deduplication and source metrics in state/feed_state.json.

run_report_only.py

  1. Read the selected time window from collected data.
  2. Build the cumulative domestic Excel output in reports/company_mentions.xlsx.
  3. Build the cumulative international Excel output in reports/international_company_mentions.xlsx.
  4. Call the model to generate domestic AI titles and AI summaries.
  5. Call the model to generate international AI titles, AI summaries, and impact scores.
  6. Build a merged daily Word brief in reports/.

run_full_workflow.py

  1. Run capture.
  2. Run domestic reporting.
  3. Run international reporting.

Inputs

  • Domestic RSS config: config/sources.json
  • International RSS config: config/international_sources.json
  • Company list: companies.txt
  • Volcengine key: ARK_API_KEY
  • Optional model override: ARK_MODEL

Security Review Notes

This skill is designed to run an AI news collection and reporting workflow inside a user-provided workspace.

It accesses external network resources for only two purposes:

  1. reading user-configured RSS / Atom feeds to collect public news content;
  2. calling a user-configured Volcengine model endpoint to generate AI titles, AI summaries, and impact scores.

It writes local files because it needs to:

  1. store raw and incremental collected news data;
  2. persist deduplication state so repeated runs do not duplicate items;
  3. generate cumulative Excel reports and a Word brief;
  4. save feed snapshots and logs for troubleshooting and completeness checks.

It does not upload arbitrary local files from the workspace and does not scan unrelated user content. External requests are limited to user-configured RSS URLs and the user-configured model endpoint.

Credentials are only taken from user-provided configuration, such as RSS authentication data and ARK_API_KEY. These credentials are used only at runtime for the intended service and are not forwarded to unrelated destinations.

Important Behavior

  • state/feed_state.json controls RSS deduplication.
  • Excel files are cumulative.
  • The Word brief is rebuilt per run.
  • The Word international section only includes the top 5 items by impact score inside the selected time window.
  • International items without a successful AI summary are excluded from the Word brief.
  • AI cache files are deleted automatically after each run.

Troubleshooting

  1. If the workflow does not rerun old RSS items, check state/feed_state.json.
  2. If AI columns are empty, check whether ARK_API_KEY is set in the execution environment.
  3. If the user wants a full rebuild, delete the relevant daily data files and state/feed_state.json, then rerun.
  4. If the user needs exact commands or cloud prompts, read references/commands.md.

References

  • references/commands.md

平台分布

OpenClaw

80.6%
按下载量换算2,299

安全审计

VirusTotal

通过

ClawScan

可疑

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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