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Agents Analyze

Checked
laurigates·vlatest·agents·MIT

Quickly extracts key insights, trends, and actionable intelligence from provided text data using advanced AI 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 laurigates/claude-plugins --skill agents-analyze -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
agents-plugin/skills/agents-analyze/SKILL.md
Scanned
1 file, 187 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

agents-analyze

What it does

This skill enables AI agents to perform deep analysis tasks, likely leveraging Claude's reasoning capabilities to process complex data or text. It transforms raw information into structured insights through dedicated analytical workflows.

When to use it

  • Breaking down unstructured reports into actionable summary points
  • Identifying patterns in large datasets that require logical deduction
  • Evaluating the validity of arguments within legal or technical documents
  • Synthesizing multiple sources of information into a cohesive conclusion

Key capabilities

  • Deep analytical reasoning over complex inputs
  • Pattern recognition and data synthesis
  • Logical evaluation of textual content
  • Structured output generation from unstructured analysis

Example prompts

"Analyze this customer feedback dataset to identify the top three recurring issues and their root causes." "Evaluate the strengths and weaknesses of the proposed strategy in this document compared to industry standards." "Break down this technical whitepaper into a step-by-step implementation guide for our team."

Tips & gotchas

Ensure input data is clean and well-formatted before analysis, as clarity directly impacts the depth of insights. This skill is most effective when paired with specific context about the desired output format to maximize utility.