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Analyze Skill

Checked
shinyaigeek·vlatest·agents

Quickly assesses any text input, identifying key themes, sentiment, and potential action items with Shinyaigeek's analysis.

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 shinyaigeek/cc-skills-usage --skill analyze-skill -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

shinyaigeek

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 shinyaigeek/cc-skills-usage at 5c579a8d9b.

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

Scanned
1 file, 102 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 analyze-skill skill provides capabilities to understand and interpret skills. It allows AI agents to process descriptions of other skills, identify key features, and potentially compare or categorize them. This enables more sophisticated skill management and integration within an agent's workflow.

When to use it

  • Skill Discovery: When you need an agent to evaluate a list of available skills and determine which ones are most relevant for a task.
  • Skill Comparison: To help an agent understand the differences between similar skills, allowing it to choose the optimal tool for a given situation.
  • Skill Documentation Understanding: When needing to quickly grasp the functionality of a skill without reading extensive documentation.

Key capabilities

  • Skill description parsing
  • Feature identification
  • Skill comparison (implied)

Example prompts

  • "Analyze this skill description: [skill description text]"
  • "What are the key features of this skill? [skill description text]"
  • "Compare these two skills and tell me their differences. Skill 1: [description], Skill 2: [description]"

Tips & gotchas

The quality of the analysis depends heavily on the clarity and completeness of the input skill descriptions. Ensure the provided descriptions are well-written for best results.