by l0ng-ai
A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell.
# Add to your Claude Code skills
git clone https://github.com/l0ng-ai/paprLast scanned: 6/27/2026
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"status": "PASSED",
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}papr is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by l0ng-ai. A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell. It has 448 GitHub stars.
Yes. papr passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/l0ng-ai/papr" and add it to your Claude Code skills directory (see the Installation section above).
papr is primarily written in Rust. It is open-source under l0ng-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh papr against similar tools.
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A fast, native RSS reader — and a CLI your AI agent can actually drive.
Papr is two front-ends over one local database:
papr, an agent-facing CLI — so an autonomous agent (Claude Code, Codex,
OpenCode…) can read, search and triage your feeds straight from the shell.
Jump to it ↓Both read the same database through the shared papr-core crate, so the app and
the CLI can never drift apart.
| Platform | How |
|---|---|
| macOS | brew install --cask l0ng-ai/papr/papr — or grab the .dmg |
| Windows | Download the .msi installer |
| Linux | Download the .AppImage or .deb |
All packages live on the latest release. The macOS builds are Developer ID signed and notarized.
papr — your feeds, handed to your agentThis is what makes Papr different. papr is a command-line companion built for
autonomous agents to drive over the shell. Point your agent at it and it can
work your feeds with no GUI:
feeds, list, read, full-text searchmark read/star/later, extract full text, refreshRun bare papr and it prints your unread dashboard plus the next useful
commands, so the agent orients with zero manual. Output is
TOON — ~40% fewer tokens than JSON — with definitive
counts and structured exit codes.
$ papr
unread: 206 starred: 17 later: 0 feeds: 15
articles[10]{id,feed,title,flags,date}:
3664,V2EX,[Java] 使用 kkRepo 搭建 Maven 私服,unread.star,"2026-06-25"
...
help[4]: Run `papr read <id>` to read an article's full text, ...
The bundled papr-rss skill loads on demand
when an agent recognizes a feed-related task, so it costs nothing until you use
it. Install it with skills:
npx skills add https://github.com/l0ng-ai/papr/tree/main/skills/papr-rss
Want the agent proactively aware of your feeds every conversation? papr setup
wires up an ambient SessionStart hook (Claude Code, Codex, OpenCode).
| Platform | How |
|---|---|
| macOS / Linux | brew install l0ng-ai/papr/papr-cli |
| Windows | Download papr-x86_64-pc-windows-msvc.zip, unzip, drop papr.exe on your PATH |
| Any | Prebuilt papr-<target>.tar.gz from the latest release, or cargo build --release -p papr-cli |
Full command reference, agent setup, and install options → docs/cli.md