Web Research
CheckedAutomates web data extraction and analysis from specified URLs, delivering structured insights via API for backend applications.
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 engsimsoft/negotiateai-chatbot --skill web-research -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
engsimsoft
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 engsimsoft/negotiateai-chatbot at 2b0521ce57.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2b0521ce57
- Scanned
- 1 file, 63 lines
About this skill
web-research
What it does
This skill enables AI agents to perform independent internet searches, allowing them to retrieve real-time information from the open web. It empowers agents to answer questions based on current data rather than relying solely on their training cutoff.
When to use it
- Real-time Data Needs: When an agent requires up-to-the-minute facts, such as today's stock prices or breaking news.
- Current Events: For queries regarding recent developments in technology, politics, or global affairs that occurred after the model's knowledge cutoff.
- Verification: To cross-reference information found in documents or to validate specific claims made by users.
- Dynamic Topics: When investigating subjects where the answer changes frequently, such as weather forecasts or live sports scores.
Key capabilities
- Executes autonomous web searches to gather external data.
- Synthesizes search results into coherent answers for the user.
- Bridges the gap between static training data and dynamic internet content.
Example prompts
- "What are the latest updates on the new regulations regarding AI safety in Europe?"
- "Search for the current exchange rate between the USD and JPY."
- "Find out who won the most recent championship in the NBA."
Tips & gotchas
- Latency: Web searches may take a few seconds to complete as the agent navigates to results.
- Accuracy: While the agent synthesizes information, always verify critical data points from original sources if high precision is required.