papr-rss skillA
papr-rss is agent-read markdown (skill) from l0ng-ai/papr: Read, search and triage the user's Papr RSS subscriptions from the shell via the `papr` CLI. Use when the user wants to catch up on their feeds, find or summarize articles they've subscribed to, check what's unread, star/save articles, subscribe to a new feed, or pull new posts. Triggers on: "what's in my feeds", "any unread RSS", "summarize this feed", "search my subscriptions for X", "mark these read", "subscribe to <url>", "refresh my feeds"..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Papr RSS CLI `papr` is a token-efficient, agent-facing CLI over the user's local Papr RSS database. It emits [TOON](https://toonformat.dev) 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 ```sh 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 …
Read the whole file at its exact version.
How to install
mdr add l0ng-ai/papr/papr-rss@git:20260626.bdf4472mdr add l0ng-ai/papr/papr-rss@sha256:c0406e4ab0b6cc12Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_socwxh52nzx6ly7g)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4250 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
l0ng-ai/papr · 533 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_socwxh52nzx6ly7g GET https://markdownregistry.com/api/v1/resolve?ref=l0ng-ai/papr/papr-rss GET https://markdownregistry.com/api/v1/blob/c0406e4ab0b6cc12cc4ecc329fd7edfece5af6d1c59c13441b9831523bf93461
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.