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Engagement Analyzer

Checked
guia-matthieu·vlatest·marketing·MIT

This tool analyzes text to gauge audience engagement levels – vital for understanding content effectiveness and optimizing communication strategies.

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 guia-matthieu/clawfu-skills --skill engagement-analyzer -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

guia-matthieu

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 guia-matthieu/clawfu-skills at 4108f5c010.

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

Commit
4108f5c010
Manifest
skills/hr-ops/engagement-analyzer/SKILL.md
Scanned
1 file, 322 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 engagement-analyzer skill assesses the level of user interaction with a given piece of text. It provides insights into how engaging the content is, potentially identifying areas for improvement. This analysis can be used to optimize communication strategies and improve overall audience connection.

When to use it

  • Content Optimization: Evaluate blog posts or marketing copy to see if they hold reader attention.
  • Email Marketing: Analyze email subject lines and body text to maximize open rates and click-throughs.
  • Social Media Posts: Determine which types of content resonate best with your audience on social platforms.
  • Script Review: Assess the engagement level of a script for a video or presentation.

Key capabilities

  • Analyzes user interaction levels.
  • Provides insights into content engagement.
  • Identifies areas for potential improvement.

Example prompts

  • "Analyze the engagement of this email subject line: 'Limited Time Offer - 50% Off!'"
  • "How engaging is this paragraph from a blog post about gardening?"
  • "Assess the user interaction level of this social media caption."

Tips & gotchas

The accuracy of the analysis depends on the quality and relevance of the input text. Consider providing context or specific goals for more targeted feedback.