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.
npx skills add l0ng-ai/papr --skill papr-rssgit clone --depth 1 https://github.com/l0ng-ai/paprWrote 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.
[](https://agentmods.dev/skills/l0ng-ai/papr/papr-rss)<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.
<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>- NVIDIA SkillSpector pass
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 5.5 | $0.00045 | $0.00440 |
| Sonnet 5.5 | $0.00023 | $0.00220 |
| Haiku 4.5 | $0.00011 | $0.00110 |
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 1mo 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.
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
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.
- 1mo ago First seen · 91 lines · 113 tokens per session scan A c0406e4ab0b6
papr-rss is a skill published in the GitHub repository l0ng-ai/papr (546 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 1,100 once invoked, about $0.0005 per session on Opus 5.5. 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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