Researching Web
CheckedQuickly gathers relevant information from websites based on provided keywords and summarizes key findings.
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 julianobarbosa/claude-code-skills --skill researching-web -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
julianobarbosa
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
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 julianobarbosa/claude-code-skills at 57f5fe8c0d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 57f5fe8c0d
- Manifest
- skills/researching-web/SKILL.md
- Scanned
- 1 file, 40 lines
About this skill
The researching-web skill enables AI agents to autonomously discover, access, and analyze information across the public internet. It bridges the gap between static knowledge bases and dynamic web content, allowing agents to retrieve real-time data, browse specific URLs, and synthesize findings from multiple sources into coherent summaries.
When to use it
- Real-time Data Retrieval: Fetching current stock prices, weather forecasts, or breaking news that isn't available in your training data.
- Competitive Analysis: Investigating competitor websites to gather pricing details, feature lists, and recent product launches.
- Fact Verification: Cross-referencing claims made in documents against live web sources to ensure accuracy.
- User Research: Scanning support forums or documentation sites to find answers to specific user questions before escalating them.
Key capabilities
- Autonomous browsing of public websites without pre-defined URLs.
- Extraction and synthesis of text from multiple web pages.
- Handling of dynamic content found on modern web applications.
- Contextual summarization of gathered web data for immediate use in tasks.
Example prompts
- "Research the latest features added to Notion in the last month and summarize them."
- "Browse the pricing page for three major cloud hosting providers and create a comparison table."
- "Find recent discussions on GitHub regarding the new React compiler API."
Tips & gotchas
This skill relies entirely on public internet access; it cannot log into private intranets or access content behind authentication walls unless you provide specific credentials. For best results, frame your requests to ask for summaries rather than raw page dumps, as agents synthesize information more effectively when given a clear goal.