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Agent Skill · 研究检索

feedship(feedship 搜索)

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。

feedship 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 23,943。

总安装 4,137周安装 169GitHub Stars 公开资料未说明下载 1,338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
1.5.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

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 feedship;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

    它需要操作浏览器,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

feedship 怎么安装?

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

feedship 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。

feedship 需要什么权限?

权限级别是操作浏览器。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。

feedship 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。

feedship 用的人多吗?

公开数据是累计安装 4,137 次,近一周安装 169 次,下载 1,338 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。

feedship 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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
feedship

feedship 搜索 · 本页

4,137—操作浏览器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
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

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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