Agent skill

Blog and Feed Watcher

by taracodlabs in taracodlabs/aiden

Checks RSS and Atom feeds for new posts with Python's feedparser: reading one feed, combining several, filtering by keyword, finding a site's feed URL and saving results.

Apache-2.0Auto-check passedProductivity & Automation

Install Blog and Feed Watcher

skills CLI
$ npx skills add taracodlabs/aiden --skill blogwatcher -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install taracodlabs/aiden blogwatcher --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/taracodlabs/aiden.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/blogwatcher .claude/skills/blogwatcher && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
blogwatcher
GitHub stars
851
Token cost
~1.1k tokens
SKILL.md length
264 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
Apache-2.0

At a glance

Checks RSS and Atom feeds for new posts with Python's feedparser: reading one feed, combining several, filtering by keyword, finding a site's feed URL and saving results.

  • Works in 6 steps: Install feedparser → Read a single RSS/Atom feed → Monitor multiple feeds → …
  • Checking a blog or news site for its newest posts
  • SKILL.md covers When to Use, How to Use, Examples and Cautions
  • Calls pip; reaches news.ycombinator.com and simonwillison.net

What it does

This skill gives the agent a set of feedparser recipes for tracking blogs, news sites and podcasts. After installing the library with pip, it can read one feed, loop over a list of feeds, filter entries by a keyword, discover a site's feed address from common URL patterns and page parsing, and save the latest posts to a JSON file. Most feeds need no API key.

The cautions in the file are practical: some sites answer feed requests with 403 errors, feedparser handles RSS 2.0, RSS 1.0 and Atom alike, publication date formats differ between feeds and should not be assumed, and very active feeds should be sliced to a limited number of entries. A skill.json file ships alongside. Worked examples include pulling the latest Hacker News posts and filtering several AI blogs for posts about agents.

When your agent uses it

  • Checking a blog or news site for its newest posts
  • Aggregating headlines from several feeds into one list
  • Finding the RSS feed URL for a site and fetching its latest entries

Example prompts

  • “What are the latest posts from Hacker News?”
  • “Watch these four AI blogs and show me posts about agents from the last week.”
  • “Does this blog have an RSS feed? If so, get the latest five posts.”

Requirements

  • Python with the feedparser package
  • beautifulsoup4 and requests for feed discovery

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Install feedparser
  2. Read a single RSS/Atom feed
  3. Monitor multiple feeds
  4. Filter posts by keyword
  5. Find the RSS feed URL for a site
  6. Save latest posts to a file

What it can do on your machine

Read from SKILL.md and the folder at commit 3704204. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • news.ycombinator.com
    • simonwillison.net
    • feeds.feedburner.com
    • blog.openai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Blog and Feed Watcher loads about 1.1k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 264 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from taracodlabs/aiden at commit 3704204, republished under its Apache-2.0 licence (© taracodlabs). 264 words, ~1,067 tokens.

Download SKILL.mdSave it as .claude/skills/blogwatcher/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
blogwatcher
description
Monitor RSS / Atom feeds for new posts (Python feedparser)
category
research
version
1.0.0
origin
aiden
license
Apache-2.0
tags
rss, atom, feed, blog, news, monitor, feedparser, podcast, updates, aggregation

Blog and Feed Watcher

Monitor RSS and Atom feeds from blogs, news sites, and podcasts to track new posts. Uses the feedparser Python library — no API keys required for most feeds.

When to Use

  • User wants to check for new posts from specific blogs or news sites
  • User wants to aggregate headlines from multiple sources
  • User wants to monitor a research blog or tech feed for updates
  • User wants to read the latest posts from a site that has an RSS feed
  • User wants to set up periodic feed monitoring

How to Use

1. Install feedparser
powershell
pip install feedparser
2. Read a single RSS/Atom feed
python
import feedparser
from datetime import datetime

feed = feedparser.parse("https://news.ycombinator.com/rss")
print(f"Feed: {feed.feed.title}")
print(f"Posts: {len(feed.entries)}\n")

for entry in feed.entries[:5]:
  title   = entry.get("title", "No title")
  link    = entry.get("link", "")
  date    = entry.get("published", "Unknown date")
  print(f"• {title}\n  {link}\n  {date}\n")
3. Monitor multiple feeds
python
import feedparser, time

FEEDS = [
  "https://feeds.feedburner.com/oreilly/radar",
  "https://blog.openai.com/rss/",
  "https://news.ycombinator.com/rss",
  "https://simonwillison.net/atom/everything/",
]

def fetch_all(feeds, max_per_feed=5):
  results = []
  for url in feeds:
    feed = feedparser.parse(url)
    for entry in feed.entries[:max_per_feed]:
      results.append({
        "source":    feed.feed.get("title", url),
        "title":     entry.get("title", ""),
        "link":      entry.get("link", ""),
        "published": entry.get("published", ""),
      })
  return sorted(results, key=lambda x: x["published"], reverse=True)

for item in fetch_all(FEEDS):
  print(f"[{item['source']}] {item['title']}\n  {item['link']}")
4. Filter posts by keyword
python
import feedparser

def search_feed(url, keyword):
  feed    = feedparser.parse(url)
  keyword = keyword.lower()
  matches = [
    e for e in feed.entries
    if keyword in e.get("title","").lower() or keyword in e.get("summary","").lower()
  ]
  for e in matches:
    print(f"• {e.title}\n  {e.link}\n")

search_feed("https://news.ycombinator.com/rss", "llm")
5. Find the RSS feed URL for a site

Common RSS URL patterns:

https://site.com/feed
https://site.com/rss
https://site.com/feed.xml
https://site.com/atom.xml
https://site.com/blog/feed
python
import feedparser, requests
from bs4 import BeautifulSoup   # pip install beautifulsoup4

def find_feed(site_url):
  resp = requests.get(site_url, timeout=10, headers={"User-Agent": "Mozilla/5.0"})
  soup = BeautifulSoup(resp.text, "html.parser")
  for tag in soup.find_all("link", type=lambda t: t and "rss" in t or "atom" in t):
    print(tag.get("href"))

find_feed("https://simonwillison.net")
6. Save latest posts to a file
python
import feedparser, json

feed  = feedparser.parse("https://news.ycombinator.com/rss")
posts = [{"title": e.title, "link": e.link, "date": e.get("published","")} for e in feed.entries[:20]]
with open("hn_feed.json", "w") as f:
  json.dump(posts, f, indent=2)
print(f"Saved {len(posts)} posts to hn_feed.json")

Examples

"What are the latest posts from Hacker News?" → Use step 2 with https://news.ycombinator.com/rss.

"Monitor these 4 AI blogs and show me posts about agents from the last week" → Use step 3 to fetch all, then step 4 logic to filter for agent keyword.

"Does this blog have an RSS feed? If so, get the latest 5 posts" → Use step 5 to discover the feed URL, then step 2 to fetch posts.

Cautions

  • Some sites block RSS scrapers — use a browser-like User-Agent header if getting 403 errors
  • feedparser handles both RSS 2.0, RSS 1.0, and Atom — no need to distinguish them
  • entry.published format varies by feed — some use RFC 2822, others ISO 8601; don't assume a format
  • Very active feeds (e.g. Reddit) may return 100+ entries — always use slicing ([:n]) to limit output

© taracodlabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/blogwatcher of taracodlabs/aiden.

  • SKILL.md
  • skill.json

Open the folder on GitHubat commit 3704204

Compare with similar skills

Blog and Feed Watcher next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Blog and Feed Watcher compared with similar skills
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Blog and Feed Watcher this skilltaracodlabs/aiden851—~1.1kAutomated safety check: PassApache-2.0
Tavily Web Searchallenpeng0705/EnvoyMesh3.1k3 repos~2.5kAutomated safety check: NotesNone
MoviePilot Downloader Operationjxxghp/MoviePilot12k—~4.4kAutomated safety check: PassGPL-3.0
Skyvern Browser AutomationSkyvern-AI/skyvern23k—~1.9kAutomated safety check: PassAGPL-3.0
Robocorp Automationrobocorp/robocorp653—~3.3kAutomated safety check: PassApache-2.0
Native Python in n8n Code Nodesczlonkowski/n8n-skills6.4k—~2.8kAutomated safety check: PassMIT

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Works with

Questions about Blog and Feed Watcher

What does Blog and Feed Watcher do?

Checks RSS and Atom feeds for new posts with Python's feedparser: reading one feed, combining several, filtering by keyword, finding a site's feed URL and saving results. This skill gives the agent a set of feedparser recipes for tracking blogs, news sites and podcasts. After installing the library with pip, it can read one feed, loop over a list of feeds, filter entries by a keyword, discover a site's feed address from common URL patterns and page parsing, and save the latest posts to a JSON file.

When should I use Blog and Feed Watcher?

Blog and Feed Watcher fits situations like: checking a blog or news site for its newest posts; aggregating headlines from several feeds into one list; finding the RSS feed URL for a site and fetching its latest entries.

How do I install Blog and Feed Watcher in Claude Code?

Run `npx skills add taracodlabs/aiden --skill blogwatcher -a claude-code`. Or copy the skill folder (skills/blogwatcher in taracodlabs/aiden) into .claude/skills/blogwatcher in your project. Claude Code loads it when a task matches its description.

How do I install Blog and Feed Watcher in Codex?

Run `npx skills add taracodlabs/aiden --skill blogwatcher -a codex`. Or copy the skill folder (skills/blogwatcher in taracodlabs/aiden) into .agents/skills/blogwatcher in your project. Codex loads it when a task matches its description.

Can I use Blog and Feed Watcher in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add taracodlabs/aiden --skill blogwatcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/blogwatcher, .gemini/skills/blogwatcher, .github/skills/blogwatcher and .opencode/skills/blogwatcher in your project.

What does Blog and Feed Watcher need to run?

Going by SKILL.md and its folder, Blog and Feed Watcher needs the command-line tools its instructions call (pip). Our summary lists: Python with the feedparser package; beautifulsoup4 and requests for feed discovery.

Does Blog and Feed Watcher access the network?

SKILL.md names 4 domains. In commands or code: news.ycombinator.com, simonwillison.net, feeds.feedburner.com and blog.openai.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Blog and Feed Watcher safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Blog and Feed Watcher use?

Blog and Feed Watcher is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Blog and Feed Watcher use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Blog and Feed Watcher?

Skills that share tags, products or a category with Blog and Feed Watcher: Tavily Web Search (allenpeng0705/EnvoyMesh, 3.1k stars), MoviePilot Downloader Operation (jxxghp/MoviePilot, 12k stars), Skyvern Browser Automation (Skyvern-AI/skyvern, 23k stars) and Robocorp Automation (robocorp/robocorp, 653 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Blog and Feed Watcher?

taracodlabs (a GitHub organization) maintains it in taracodlabs/aiden, which has 851 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on September 13, 2026.

Source: taracodlabs/aiden on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.