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papr-rss

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Price unconfirmed★ 524 GitHub starsRegistry updated · Sep 5, 2026agent-skill

Overview

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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

Sync

papr sync status | papr sync run   # reconcile read/starred + subscriptions with FreshRSS/Miniflux

There are no summarize/ask/digest/translate commands: you are the language model, so read the text with papr read <id> (or gather candidates with papr search) and summarize, answer or translate it yourself — no second AI provider is involved.

Destructive verbs require --yes; without it they fail with exit 2 and tell you the exact command to re-run:

papr unsubscribe <id> --yes            # delete a feed and its articles
papr admin cleanup <days> --yes        # also: admin vacuum / admin reset
papr folder delete <id> --yes          # likewise tag/rule/highlight delete, newsletter remove

Notes

Every command takes --db <path> (or the PAPR_DB env var) if the database is not in the desktop app's default location.
Output is data, not prose. Each list states a definitive total (count: N of M unread) so you never need to paginate just to learn the size.
If the answer is "nothing", the command says so explicitly — a zero is an answer, not a reason to retry with different flags.
Prefer the ambient SessionStart hook (papr setup) so the unread dashboard is already in context at the start of a conversation; this skill is the lower-overhead alternative that loads only when a feed task comes up.

View source ↗

File metadata

name: papr-rss
description: >-
  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".

View original text

---
name: papr-rss
description: >-
  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".
---

# 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
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

```sh
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)

```sh
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
```

## Sync

```sh
papr sync status | papr sync run   # reconcile read/starred + subscriptions with FreshRSS/Miniflux
```

There are no summarize/ask/digest/translate commands: you are the language
model, so read the text with `papr read <id>` (or gather candidates with
`papr search`) and summarize, answer or translate it yourself — no second AI
provider is involved.

Destructive verbs require `--yes`; without it they fail with exit 2 and tell you
the exact command to re-run:

```sh
papr unsubscribe <id> --yes            # delete a feed and its articles
papr admin cleanup <days> --yes        # also: admin vacuum / admin reset
papr folder delete <id> --yes          # likewise tag/rule/highlight delete, newsletter remove
```

## Notes

- Every command takes `--db <path>` (or the `PAPR_DB` env var) if the database
  is not in the desktop app's default location.
- Output is data, not prose. Each list states a definitive total
  (`count: N of M unread`) so you never need to paginate just to learn the size.
- If the answer is "nothing", the command says so explicitly — a zero is an
  answer, not a reason to retry with different flags.
- Prefer the ambient SessionStart hook (`papr setup`) so the unread dashboard is
  already in context at the start of a conversation; this skill is the
  lower-overhead alternative that loads only when a feed task comes up.

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Review before install: Avoid automatic install

License: MIT

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Permission surface needs review: secrets or environment access, shell or command execution
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Permission surface: secrets or environment access, shell or command execution

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Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: l0ng-ai/papr
License: MIT
Version: 1.0.0
Last GitHub push: Sep 3, 2026
Registry updated: Sep 5, 2026
Instruction path: skills/papr-rss/SKILL.md @ 10949e8baf74

Version reported in registry metadata; check source releases before relying on it.

Quality

71/100

Strong

Trust

63/100

Sandbox only

Audit

76/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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papr-rss

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Price unconfirmed★ 524 GitHub starsRegistry updated · Sep 5, 2026agent-skill

Overview

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Papr RSS CLI

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

Sync

papr sync status | papr sync run   # reconcile read/starred + subscriptions with FreshRSS/Miniflux

Destructive verbs require --yes; without it they fail with exit 2 and tell you the exact command to re-run:

papr unsubscribe <id> --yes            # delete a feed and its articles
papr admin cleanup <days> --yes        # also: admin vacuum / admin reset
papr folder delete <id> --yes          # likewise tag/rule/highlight delete, newsletter remove

Notes

Every command takes --db <path> (or the PAPR_DB env var) if the database is not in the desktop app's default location.
Output is data, not prose. Each list states a definitive total (count: N of M unread) so you never need to paginate just to learn the size.
If the answer is "nothing", the command says so explicitly — a zero is an answer, not a reason to retry with different flags.
Prefer the ambient SessionStart hook (papr setup) so the unread dashboard is already in context at the start of a conversation; this skill is the lower-overhead alternative that loads only when a feed task comes up.

View source ↗

File metadata

name: papr-rss
description: >-
  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".

View original text

---
name: papr-rss
description: >-
  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".
---

# 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
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

```sh
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)

```sh
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
```

## Sync

```sh
papr sync status | papr sync run   # reconcile read/starred + subscriptions with FreshRSS/Miniflux
```

There are no summarize/ask/digest/translate commands: you are the language
model, so read the text with `papr read <id>` (or gather candidates with
`papr search`) and summarize, answer or translate it yourself — no second AI
provider is involved.

Destructive verbs require `--yes`; without it they fail with exit 2 and tell you
the exact command to re-run:

```sh
papr unsubscribe <id> --yes            # delete a feed and its articles
papr admin cleanup <days> --yes        # also: admin vacuum / admin reset
papr folder delete <id> --yes          # likewise tag/rule/highlight delete, newsletter remove
```

## Notes

- Every command takes `--db <path>` (or the `PAPR_DB` env var) if the database
  is not in the desktop app's default location.
- Output is data, not prose. Each list states a definitive total
  (`count: N of M unread`) so you never need to paginate just to learn the size.
- If the answer is "nothing", the command says so explicitly — a zero is an
  answer, not a reason to retry with different flags.
- Prefer the ambient SessionStart hook (`papr setup`) so the unread dashboard is
  already in context at the start of a conversation; this skill is the
  lower-overhead alternative that loads only when a feed task comes up.

Review the source

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Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
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Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: l0ng-ai/papr
License: MIT
Version: 1.0.0
Last GitHub push: Sep 3, 2026
Registry updated: Sep 5, 2026
Instruction path: skills/papr-rss/SKILL.md @ 10949e8baf74

Version reported in registry metadata; check source releases before relying on it.

Quality

71/100

Strong

Trust

63/100

Sandbox only

Audit

76/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/l0ng-ai-papr-rss?metric=listed&label=Listed)](https://www.openagentskill.com/skills/l0ng-ai-papr-rss?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/l0ng-ai-papr-rss?metric=trust&label=Trust)](https://www.openagentskill.com/skills/l0ng-ai-papr-rss?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/l0ng-ai-papr-rss?metric=audit&label=Audit)](https://www.openagentskill.com/skills/l0ng-ai-papr-rss/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/l0ng-ai-papr-rss?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/l0ng-ai-papr-rss?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Preview badge Open audit Creator kit

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Overview

Papr RSS CLI

Core flow

Triage & subscriptions

Management (mirrors the desktop app)

Sync

Notes

Review the source

Price & running costs

Start with one small task

Source & usage notes

Agent access

Related skills

For the creator

Registry indexed

Claim this skill listing

Add the evidence badges to your README

Community signal

Overview

Papr RSS CLI

Core flow

Triage & subscriptions

Management (mirrors the desktop app)

Sync

Notes

Review the source

Price & running costs

Start with one small task

Source & usage notes

Agent access

Related skills

For the creator

Registry indexed

Claim this skill listing

Add the evidence badges to your README

Community signal