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feedshipfeedship 搜索

Agent Skill

feedship 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

4,137

周安装

169

GitHub Stars

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下载量

1,338
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:feedship(feedship 搜索)
来源仓库:https://github.com/yanpeipan/feedship
安装命令:
openclaw skills install feedship
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 feedship

简介

feedship 用于管理 RSS/Atom 订阅源、搜索与阅读文章内容的综合工具。

  • 适合个人知识库构建、资讯聚合或多源信息筛选场景。
  • 支持添加、删除订阅源并全文检索历史文章,提升信息获取效率。
  • 本地缓存机制可减少重复下载,节省带宽与加载时间。
  • 高级功能如标签分类需手动维护,暂无自动语义归类能力。

SKILL.md

name
feedship
description
Manage RSS/Atom feeds, subscribe to websites, search and read articles. Use when working with feeds, RSS, Atom, subscribing to content sources, managing an information pipeline, or fetching articles from subscribed feeds. Commands: feed add|list|remove, fetch, article list|view|open|related, search, discover, info.
metadata
openclaw
requires
bins
cron
syntax
cron([minute,] [hour,] [day-of-month,] [month,] [day-of-week])
default
*/30 * * * *" # Every 30 minutes
description
Fetch new articles from all subscribed feeds every 30 minutes

Feedship Skill

Version: 1.5 For: Claude Code and OpenClaw compatible agents Description: Manage information feeds, subscribe to RSS/GitHub sources, and search articles

Setup

Before using this skill, install feedship with ML and cloud extras:

uv tool install 'feedship[ml,cloudflare]' --python 3.12 --force
Note: cloudflare extra provides scrapling (HTML fetching); ml extra provides sentence-transformers + chromadb (semantic search). Both are required for full functionality.

China / Restricted Networks

For environments where PyPI or HuggingFace is not accessible, use mirrors:

# Add to ~/.bashrc for persistence
echo 'export HF_ENDPOINT=https://hf-mirror.com' >> ~/.bashrc
echo 'export PIP_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/' >> ~/.bashrc
source ~/.bashrc

# Install
uv tool install 'feedship[cloudflare,ml]' --force

Upgrade

# From PyPI (if accessible)
uv tool upgrade feedship

# From GitHub (latest commits)
uv tool install 'feedship @ git+https://github.com/yanpeipan/feedship.git' \
  --pip-args='-i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com' \
  --include-deps --force

After installation, verify with: feedship --version

First-time setup for semantic search: After installing, run feedship fetch --all to populate the vector database with article embeddings. Semantic search requires embeddings to be generated first (chromadb storage).

Commands

feed

Manage RSS/Atom feeds and GitHub release trackers.

feed add

feedship feed add <url> [options]

Add a new feed by URL with automatic provider detection.

Options:

  • --auto-discover/--no-auto-discover — Enable feed auto-discovery (default: enabled)
  • --automatic on|off — Automatically add all discovered feeds (default: off)
  • --discover-depth N — Discovery crawl depth 1-10 (default: 1)
  • --weight FLOAT — Feed weight for semantic search (default: 0.3)

Examples:

feedship feed add https://example.com
feedship feed add https://github.com/python/cpython --automatic on
feedship feed add https://example.com --discover-depth 3

feed list

feedship feed list [-v]

List all subscribed feeds with status.

Options:

  • -v, --verbose — Show detailed output
  • --json — Output in JSON format for programmatic consumption

feed remove

feedship feed remove <feed-id>

Remove a subscribed feed by ID.


fetch

feedship fetch [--all|<feed-ids>] [--concurrency N]

Fetch new articles from subscribed feeds.

Options:

  • --all — Fetch all subscribed feeds
  • --concurrency N — Max concurrent fetches 1-100 (default: 10)

Examples:

feedship fetch --all
feedship fetch abc12345
feedship fetch abc12345 def67890 --concurrency 20

article

Manage and view fetched articles.

article list

feedship article list [options]

Options:

  • --limit N — Maximum articles (default: 20)
  • --feed-id <id> — Filter by feed ID
  • --since <date> — Start date (YYYY-MM-DD)
  • --until <date> — End date (YYYY-MM-DD)
  • --on <date> — Specific date (can repeat for multiple)
  • --json — Output in JSON format for programmatic consumption

article view

feedship article view <article-id>

View full article content and metadata.

article open

feedship article open <article-id>

Open article in system browser.

article related

feedship article related <article-id> [--limit N]

Find semantically related articles.


search

feedship search <query> [options]

Search articles using full-text or semantic search.

Options:

  • --limit N — Maximum results (default: 20)
  • --feed-id <id> — Filter by feed ID
  • --semantic — Use semantic (vector) search instead of keyword
  • --rerank — Apply Cross-Encoder reranking
  • --since <date> — Start date filter
  • --until <date> — End date filter
  • --on <date> — Specific date filter
  • --json — Output in JSON format for programmatic consumption

Examples:

feedship search "machine learning"
feedship search "python news" --semantic
feedship search "updates" --semantic --rerank

discover

feedship discover <url> [--discover-depth N]

Discover RSS/Atom/RDF feeds on a website without subscribing.

Options:

  • --discover-depth N — Crawl depth 1-10 (default: 1)
  • --json — Output in JSON format for programmatic consumption

Examples:

feedship discover example.com
feedship discover example.com --discover-depth 3

info

feedship info [options]

Display system information, configuration, and storage status.

Options:

  • --json — Output in JSON format for programmatic consumption

Output includes:

  • Version information
  • Configuration file location
  • Database/storage path
  • Feed count and article count
  • Installed extras (ml, cloudflare)

Examples:

feedship info
feedship info --json

Output Formats

Tables

feed list, article list, search, discover output Rich tables:

  • Magenta headers
  • Alternating row styles
  • Truncated columns with overflow indicators

Panels

article view uses Rich Panel:

  • Title: Article title
  • Subtitle: Feed name | Date
  • Content: Full article text

Progress Bars

fetch uses Rich progress bars showing:

  • Current feed being fetched
  • New articles count
  • Elapsed time

Common Patterns

Initial Setup

# Add a website feed
feedship feed add https://example.com --automatic on

# Fetch all feeds
feedship fetch --all

# View recent articles
feedship article list --limit 50

Daily Workflow

# Fetch new articles
feedship fetch --all

# Search for topics
feedship search "machine learning" --semantic

# Read an article
feedship article view abc12345

# Open in browser for full view
feedship article open abc12345

Feed Management

# List feeds
feedship feed list -v

# Remove stale feed
feedship feed remove old123

# Discover new feeds on site
feedship discover news-site.com --discover-depth 2

Scheduled Fetching (OpenClaw Best Practice)

For automated periodic fetching, use platform-specific schedulers:

macOS (LaunchAgent):

<!-- ~/Library/LaunchAgents/com.feedship.fetch.plist -->
<key>ProgramArguments</key><array><string>/usr/local/bin/feedship</string><string>fetch</string><string>--all</string></array>
<key>StartInterval</key><integer>3600</integer>  <!-- every hour -->

Linux (systemd timer):

# ~/.config/systemd/user/feedship.timer
[Timer] OnBootSec=5min OnUnitActiveSec=1h

Cron:

0 * * * * feedship fetch --all >> ~/.feedship/fetch.log 2>&1

OpenClaw Cron (every 30 minutes):

openclaw cron add \
  --name "feedship-fetch" \
  --agent agent \
  --cron "*/30 * * * *" \
  --tz Asia/Shanghai \
  --session isolated \
  --message "uv run --with feedship[ml,cloudflare] feedship fetch --all" \
  --timeout-seconds 1800

Optional Dependencies

ML Extra (pip install feedship[ml])

Required for semantic search and related articles:

  • sentence-transformers
  • chromadb
  • torch

Cloudflare Extra (pip install feedship[cloudflare])

For enhanced web scraping with:

  • browserforge
  • playwright
  • curl-cffi

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

90.99%
按下载量换算1,217

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

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。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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