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Perplexity

Checked
softaworks·vlatest·ai-ml·MIT

Perplexity analyzes text for nuanced understanding & sentiment, revealing hidden meanings and contextual insights – valuable for deeper analysis.

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 softaworks/agent-toolkit --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

softaworks

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 softaworks/agent-toolkit at 3027f20f31.

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

Commit
3027f20f31
Manifest
skills/perplexity/SKILL.md
Scanned
2 files, 305 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 enables AI agents to access Perplexity's search engine, allowing them to retrieve real-time information and answer queries based on current web data. It bridges the gap between static knowledge bases and live internet sources for dynamic problem-solving.

When to use it

  • Researching breaking news or events that occurred after your training data cutoff.
  • Verifying facts, statistics, or recent developments in a specific industry.
  • Gathering up-to-date code snippets, library versions, or API documentation changes.
  • Finding current pricing, availability, or user reviews for software products.

Key capabilities

  • Real-time web search execution directly from the agent context.
  • Synthesis of information from multiple live sources into coherent answers.
  • Access to current events and trending topics across the internet.

Example prompts

  • "What are the latest updates on the release schedule for the new React framework?"
  • "Summarize the current debate regarding the proposed changes to GDPR regulations in the EU."
  • "Find the most recent benchmark performance results for NVIDIA's latest GPU series compared to AMD equivalents."

Tips & gotchas

Ensure the agent has active internet connectivity, as this skill relies entirely on live data retrieval. For best results, frame questions that require specific, current facts rather than general historical concepts already embedded in the model's training.