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Perplexity

Checked
itechmeat·vlatest·ai-ml·MIT

Perplexity analyzes text for nuanced understanding & identifies subtle contradictions or ambiguities – useful for deeper insights and critical evaluation.

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 itechmeat/llm-code --skill perplexity -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

itechmeat

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 itechmeat/llm-code at 7ae8a00524.

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

Scanned
11 files, 2,098 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, "perplexity," provides access to Perplexity AI's search and answer capabilities. It allows an agent to formulate questions, retrieve information from the web, and synthesize responses in a conversational manner. The agent can then present these answers with source citations for verification.

When to use it

  • Research tasks: When an agent needs to gather information on a specific topic and provide summarized results.
  • Question answering: To answer user questions that require accessing and processing external data.
  • Summarization of web content: For quickly understanding the key points from multiple online sources.
  • Fact-checking: To verify claims by searching for supporting evidence and providing source links.

Key capabilities

  • Web search
  • Answer synthesis
  • Source citation
  • Conversational interaction

Example prompts

  • "What are the latest developments in quantum computing?"
  • "Summarize the key arguments in favor of universal basic income."
  • "Explain the difference between a convolutional neural network and a recurrent neural network, with sources."

Tips & gotchas

This skill requires an active Perplexity AI account. The quality of responses depends on the clarity of the prompt and the availability of relevant information online.