/install feedship
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:
cloudflareextra provides scrapling (HTML fetching);mlextra 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 --allto 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 \x3Curl> [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 \x3Cfeed-id>
Remove a subscribed feed by ID.
fetch
feedship fetch [--all|\x3Cfeed-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 \x3Cid>— Filter by feed ID--since \x3Cdate>— Start date (YYYY-MM-DD)--until \x3Cdate>— End date (YYYY-MM-DD)--on \x3Cdate>— Specific date (can repeat for multiple)--json— Output in JSON format for programmatic consumption
article view
feedship article view \x3Carticle-id>
View full article content and metadata.
article open
feedship article open \x3Carticle-id>
Open article in system browser.
article related
feedship article related \x3Carticle-id> [--limit N]
Find semantically related articles.
search
feedship search \x3Cquery> [options]
Search articles using full-text or semantic search.
Options:
--limit N— Maximum results (default: 20)--feed-id \x3Cid>— Filter by feed ID--semantic— Use semantic (vector) search instead of keyword--rerank— Apply Cross-Encoder reranking--since \x3Cdate>— Start date filter--until \x3Cdate>— End date filter--on \x3Cdate>— 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 \x3Curl> [--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):
\x3C!-- ~/Library/LaunchAgents/com.feedship.fetch.plist -->
\x3Ckey>ProgramArguments\x3C/key>\x3Carray>\x3Cstring>/usr/local/bin/feedship\x3C/string>\x3Cstring>fetch\x3C/string>\x3Cstring>--all\x3C/string>\x3C/array>
\x3Ckey>StartInterval\x3C/key>\x3Cinteger>3600\x3C/integer> \x3C!-- 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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install feedship - After installation, invoke the skill by name or use
/feedship - Provide required inputs per the skill's parameter spec and get structured output
What is Feedship?
Manage RSS/Atom feeds, subscribe to websites, search and read articles. Use when working with feeds, RSS, Atom, subscribing to content sources, managing an i... It is an AI Agent Skill for Claude Code / OpenClaw, with 139 downloads so far.
How do I install Feedship?
Run "/install feedship" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Feedship free?
Yes, Feedship is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Feedship support?
Feedship is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Feedship?
It is built and maintained by Yan Zer0 (@yanpeipan); the current version is v1.5.0.