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ai-news-pipelineAI 新闻管道

Agent Skill

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。

总安装

8,811

周安装

353

GitHub Stars

公开资料未说明

下载量

2,852
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: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

简介

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。

SKILL.md

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

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

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 warning/failed 结果,不能写成本站确认安全。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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