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Web Search Fallback

Listed
bejranonda·vlatest·backend

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

Repository

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 bejranonda/llm-autonomous-agent-plugin-for-claude --skill web-search-fallback -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

bejranonda

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: html.duckduckgo.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

    html.duckduckgo.comundeclared

    What it found

    • skills/web-search-fallback/SKILL.md:120contacts html.duckduckgo.com
      curl "https://html.duckduckgo.com/html/?q=query" | grep 'result__a'

  • 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 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 bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.

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

Commit
d7c47f644e
Manifest
skills/web-search-fallback/SKILL.md
Scanned
2 files, 431 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

The web-search-fallback skill allows an AI agent to perform web searches when other information retrieval methods fail. It acts as a safety net, ensuring the agent can still access relevant data even if its primary knowledge sources are unavailable or insufficient. This capability enhances the agent's robustness and ability to handle diverse tasks.

When to use it

  • Knowledge gaps: When the agent lacks specific information needed to complete a task.
  • Real-time updates: To retrieve current events or data that is not present in static knowledge bases.
  • Verification: To cross-reference information obtained from other sources and ensure accuracy.
  • Unstructured data: When dealing with topics where information is primarily found on websites rather than in structured databases.

Key capabilities

  • Performs web searches using a search engine (implementation details not specified).
  • Provides results as text snippets or links to relevant webpages.
  • Acts as a fallback mechanism when other knowledge retrieval methods fail.

Example prompts

  • "I need information about the current price of Bitcoin."
  • "Can you find recent news articles related to climate change?"
  • “What are the latest reviews for the new Sony headphones?”

Tips & gotchas

The skill's effectiveness depends on the quality of the underlying search engine. Be aware that search results may contain inaccurate or biased information, requiring careful evaluation by the agent.