papr

Name: papr
Author: l0ng-ai

Verified

A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell.

448stars

40forks

Rust

Installation

# Add to your Claude Code skills
git clone https://github.com/l0ng-ai/papr

Getting Started

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Security ReportVerified

Last scanned: 6/27/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-06-27T06:52:08.916Z",
  "npmAuditRan": true,
  "pipAuditRan": true,
  "promptInjectionRan": true
}

README.md

Frequently Asked Questions

What is papr?

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.

Is papr safe to use?

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.

How do I install papr?

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).

What programming language is papr written in?

papr is primarily written in Rust. It is open-source under l0ng-ai on GitHub, so you can review or fork the full source.

Are there alternatives to papr?

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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Papr

A fast, native RSS reader — and a CLI your AI agent can actually drive.

Papr is two front-ends over one local database:

A desktop reader — fast, native, offline-first. No account, no cloud.
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.

The desktop app

Feeds & folders — subscribe, organize, and import/export OPML.
Smart views — All, Unread, Starred, and Read Later, with live counts.
Tags & rules — color-coded tags and rules that tag new articles automatically.
Full-text — fetch and clean the complete article when a feed ships only a summary.
AI — summaries, ask-the-article Q&A, and digests. Bring your own API key.
Audio — a built-in player that follows you from article to article.
FreshRSS sync — keep read state in step with a FreshRSS server.
Local-first — everything stays on your machine. No account, no cloud.
Localized — English, Japanese, and Simplified Chinese.

Install

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 agent

This 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:

Read — feeds, list, read, full-text search
Triage — mark read/star/later, extract full text, refresh
Manage — subscriptions, folders, tags, rules, highlights, OPML
Sync — FreshRSS / Miniflux

Run 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, ...

Hand it to your agent — one line

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).

Install the CLI

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