A command-line tool for reading and managing subscriptions from Papr RSS, a local app that collects articles from RSS feeds. It can show unread items, search feeds, read articles, and organize saved items.

Use it to view feed and unread lists, search or filter articles, read one or several items, save articles, manage tags, and subscribe to feeds.

It gives a coding agent a compact way to catch up on subscribed feeds without opening a separate reader or loading every article in full.

papr-rss — Skill for Claude Code by l0ng-ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add l0ng-ai/papr --skill papr-rss

Clone the repo

git clone --depth 1 https://github.com/l0ng-ai/papr

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/l0ng-ai/papr/papr-rss/github.svg)](https://agentmods.dev/skills/l0ng-ai/papr/papr-rss)

Your own site

<a href="https://agentmods.dev/skills/l0ng-ai/papr/papr-rss"><img src="https://agentmods.dev/badge/skills/l0ng-ai/papr/papr-rss/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/l0ng-ai/papr/papr-rss"><img src="https://agentmods.dev/badge/skills/l0ng-ai/papr/papr-rss.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,100 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00113	$0.01100
Opus 5	$0.00056	$0.00550
Sonnet 5	$0.00023	$0.00220
Haiku 4.5	$0.00011	$0.00110

Measured 11d ago against content hash c0406e4ab0b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

papr-rss scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/papr-rss/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Papr RSS CLI

papr is a token-efficient, agent-facing CLI over the user's local Papr RSS database. It emits TOON on stdout (≈40% cheaper than JSON, via the official toon-format encoder), keeps diagnostics on stderr, and returns structured errors with exit codes (0 success/no-op, 1 runtime, 2 usage). Reads are token-minimal by default; long article bodies are truncated with a --full escape hatch.

Run papr with no arguments first — it prints the unread dashboard plus the most useful next commands, so you can orient without reading a manual.

Core flow

papr                        # home: unread/starred counts + recent unread + next steps
papr feeds                  # subscriptions grouped by folder, with unread counts
papr list --feed <id>       # articles in a feed (defaults to unread; --all for read too)
papr list --starred         # smart views: --starred / --later / --tag <id> / --folder <id>
papr list --fields author,url   # add columns: author,url,snippet,type,feed_id,published
papr read <id> [<id>...]    # plain-text body, truncated; pass several ids to batch
papr read --feed <id> --unread --limit 5   # read a feed's latest unread in one call
papr read <id> --full       # the complete body when truncation hid something
papr search "<query>"       # FTS5 full-text search across every article

Triage & subscriptions

papr mark read <id> [<id>...]      # state: read|unread|star|unstar|later|unlater (idempotent)
papr mark-all --feed <id>          # mark a whole view read
papr subscribe <url>               # auto-discovers the feed, inserts it, fetches it
papr refresh [--feed <id>]         # fetch new articles over the network (RSS + newsletters)
papr extract <id>                  # fetch & store the cleaned full text of an article

Management (mirrors the desktop app)

papr tags | papr tag add <tag_id> <article_id> | papr tag create "<name>"
papr folders | papr folder create "<name>" | papr feed move <id> --folder <id>
papr rules | papr rule create "<name>" "<keywords>" --action star
papr highlights [--article <id>] | papr highlight create <article_id> "<quote>"
papr newsletters | papr newsletter add --title .. --host .. --user .. --password ..
papr opml import <file> | papr opml export
papr settings get <key> | papr settings set <key> <value>
papr stats

Read the full file on GitHub · 91 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

11d ago First seen · 91 lines · 113 tokens per session scan A c0406e4ab0b6

Subscribe to this mod's changes

papr-rss is a skill published in the GitHub repository l0ng-ai/papr (527 stars, last pushed 7d ago), licensed MIT. It adds 113 tokens to every session and 1,100 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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