Llms Txt Crawler
CheckedThis skill uses LLMs to crawl and extract specific text content from websites, saving you time on data gathering.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add agykit/agykit --skill llms-txt-crawler -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
agykit
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.
Automated safety checks
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
Only contacts known or declared hosts: github.com.
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.
Hosts contacted
github.comsource hostNo 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 agykit/agykit at 6ccdd681bc.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6ccdd681bc
- Scanned
- 4 files, 430 lines
About this skill
What it does
This skill allows AI agents to crawl and extract text from web pages. It can retrieve information from specific URLs or perform broader searches based on keywords. The extracted text can then be used for summarization, analysis, or other downstream tasks within the agent's workflow.
When to use it
- Research: Gather background information on a topic by extracting content from relevant websites.
- Content Aggregation: Collect articles or blog posts related to specific keywords and create a curated list.
- Data Extraction: Pull data points (e.g., product prices, contact details) from online listings.
- Competitive Analysis: Scrape competitor websites for pricing or feature information.
Key capabilities
- Web page crawling
- Text extraction
- URL specification
- Keyword-based searching
Example prompts
- "Extract the text content from
https://www.example.com/article." - "Find articles about 'sustainable energy' and retrieve their main body text."
- “Get the product descriptions for all items listed on this page:
https://shop.example.com/products”
Tips & gotchas
The skill’s effectiveness depends on the target website's structure; complex or heavily dynamic sites may yield incomplete results. Be mindful of robots.txt and rate limits to avoid being blocked by websites.