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xxiii8322766509·vlatest·backend·AGPL-3.0

Helps with web development, search as part of developing backend services and APIs workflows.

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 rtgs2017/nagaagent --skill web-search -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

xxiii8322766509

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 xxiii8322766509/nagaagent at c2caa9079b.

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

Scanned
1 file, 63 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

This skill provides web search and information retrieval capabilities to an AI agent. It extracts keywords from user requests, executes searches using a system tool (online_search), and then organizes results into summaries with key findings, detailed information, and source links. The primary purpose is to support web development tasks, particularly within backend services and API workflows.

When to use it

  • To retrieve the latest news and current events.
  • When needing real-time data such as stock prices, weather conditions, or sports scores.
  • For searching for specific content on webpages.
  • To query technical documentation.

Key capabilities

  • Keyword Extraction: Removes unnecessary words and retains key terms (including proper nouns and technical terminology) from user prompts to refine search queries.
  • Online Search Execution: Utilizes the online_search tool with a formatted query parameter.
  • Result Organization: Filters results, extracts key information summaries, and provides source links for verification.
  • Prioritization of Recent Data: Favors recent search results when dealing with time-sensitive requests.

Example prompts

  • "What's the latest news on AI development?"
  • "Find me the current stock price for Tesla."
  • "Search for documentation on the 'Model Context Protocol'."
  • "Retrieve weather information for London, UK."

Tips & gotchas

  • For time-sensitive questions, ensure the agent prioritizes recent search results.
  • When addressing technical issues, encourage the agent to prioritize official documentation as a source.
  • Cross-verification of important information from multiple sources is recommended.