How do I install the Rss Digest skill?

Run npx skillmds@latest add odysseus0/rss-digest in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Rss Digest safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Rss Digest?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Rss Digest free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Rss Digest?

odysseus0 (@odysseus0) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Rss Digest by odysseus0 — Agent Skill

Name: Rss Digest
Rating: 4.666666666666667 (3 reviews)
Author: odysseus0

Rss Digest

Agentic RSS digest using the feed CLI. Fetch, triage, and summarize RSS feeds to surface high-signal posts. Use when: (1) reading RSS feeds or catching up on news, (2) user asks for a digest, roundup, or summary of recent posts, (3) user asks what's new or interesting today, (4) user mentions feed, RSS, or blogs.

odysseus0 Updated Sep 17, 2026

File contents

RSS Digest

Surface what's worth reading from RSS feeds. Requires feed CLI (brew install odysseus0/tap/feed).

Workflow

Scan — feed get entries --limit 50 for recent unread (title, feed, date, URL, summary). Auto-fetches if stale. If 0 results, run feed get stats — if 0 feeds, import starter set: feed import https://github.com/odysseus0/feed/raw/main/hn-popular-blogs-2025.opml and retry.
Triage — Pick 5-10 high-signal posts based on the user's prompt. If no specific interest given, prioritize surprising, contrarian, or unusually insightful pieces.
Read + Synthesize — For each picked entry, read the full content and summarize it briefly. Prefer fetching the URL directly (e.g. WebFetch) if available — keeps full text out of context. Otherwise use feed get entry <id> to read the stored content. Parallelize when possible.
Present — Compile the summaries into a digest. Group by theme if natural clusters emerge.

Commands

feed get entries --limit N              # list unread entries (table)
feed get entries --feed <id> --limit N  # filter by feed
feed get entry <id>                     # read full post (markdown)
feed fetch                              # pull latest from all feeds
feed search "<query>"                   # full-text search
feed update entries --read <id> ...     # batch mark read
feed get feeds                          # list feeds with unread counts
feed get stats                          # database stats

Notes

The entries table includes full URLs. Prefer fetching URLs directly (keeps full text out of your context window). Fall back to feed get entry <id> if you don't have a web fetch tool.
Do not mark entries as read. The user decides what to mark read.
Default output is table — most token-efficient for scanning. Avoid -o json.
Filter by feed if too many entries: --feed <feed_id>.

---name: rss-digestdescription: Agentic RSS digest using the feed CLI. Fetch, triage, and summarize RSS feeds to surface high-signal posts. Use when: (1) reading RSS feeds or catching up on news, (2) user asks for a digest, roundup, or summary of recent posts, (3) user asks what's new or interesting today, (4) user mentions feed, RSS, or blogs.---# RSS DigestSurface what's worth reading from RSS feeds. Requires `feed` CLI (`brew install odysseus0/tap/feed`).## Workflow1. **Scan** — `feed get entries --limit 50` for recent unread (title, feed, date, URL, summary). Auto-fetches if stale. If 0 results, run `feed get stats` — if 0 feeds, import starter set: `feed import https://github.com/odysseus0/feed/raw/main/hn-popular-blogs-2025.opml` and retry.2. **Triage** — Pick 5-10 high-signal posts based on the user's prompt. If no specific interest given, prioritize surprising, contrarian, or unusually insightful pieces.3. **Read + Synthesize** — For each picked entry, read the full content and summarize it briefly. Prefer fetching the URL directly (e.g. WebFetch) if available — keeps full text out of context. Otherwise use `feed get entry <id>` to read the stored content. Parallelize when possible.4. **Present** — Compile the summaries into a digest. Group by theme if natural clusters emerge.## Commands```feed get entries --limit N # list unread entries (table)feed get entries --feed <id> --limit N # filter by feedfeed get entry <id> # read full post (markdown)feed fetch # pull latest from all feedsfeed search "<query>" # full-text searchfeed update entries --read <id> ... # batch mark readfeed get feeds # list feeds with unread countsfeed get stats # database stats```## Notes- The entries table includes full URLs. Prefer fetching URLs directly (keeps full text out of your context window). Fall back to `feed get entry <id>` if you don't have a web fetch tool.- Do not mark entries as read. The user decides what to mark read.- Default output is table — most token-efficient for scanning. Avoid `-o json`.- Filter by feed if too many entries: `--feed <feed_id>`.

Frequently asked questions