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Rss Agent Viewer

Checked
brooksy4503·vlatest·agents

View RSS feed content directly within your Brooksy4503 agent, streamlining information gathering and analysis.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add brooksy4503/rss-agent-viewer --skill rss-agent-viewer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

brooksy4503

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned brooksy4503/rss-agent-viewer at 4c9c77d4f5.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4c9c77d4f5
Manifest
skills/rss-agent-viewer/SKILL.md
Scanned
1 file, 162 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The rss-agent-viewer skill allows AI agents to display RSS feeds. It can fetch and parse RSS feed data, presenting it in a readable format. This enables agents to provide up-to-date information from various sources like news websites, blogs, or podcasts directly to users.

When to use it

  • News Summarization: An agent could pull headlines and summaries from multiple news sources for a user's daily briefing.
  • Blog Monitoring: Track updates on specific blogs by displaying new posts as they are published.
  • Podcast Updates: Keep users informed about the latest episodes of their favorite podcasts.
  • Project Tracking: Monitor RSS feeds from project management tools to provide status updates.

Key capabilities

  • RSS feed fetching
  • RSS parsing
  • Displaying formatted content

Example prompts

  • "Show me the latest headlines from BBC News."
  • "Can you display new posts from the 'TechCrunch' blog?"
  • "What are the newest episodes of the 'Radiolab' podcast?"

Tips & gotchas

The skill requires a valid RSS feed URL to function. Ensure the provided URL is accessible and contains properly formatted RSS data for optimal results.