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Social Media Analyzer

Checked
borghei·vlatest·marketing

Analyzes social media content to identify trends, sentiment, and engagement metrics – boosting your understanding of audience reactions.

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 borghei/claude-skills --skill social-media-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

borghei

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 borghei/claude-skills at 4a698e8d07.

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

Scanned
7 files, 1,113 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 borghei-social-media-analyzer skill analyzes social media data to provide insights. It can extract sentiment from posts, identify trending topics within a specified timeframe, and summarize key themes emerging from online conversations. This allows users to understand public perception and track the performance of specific campaigns or content.

When to use it

  • Brand Monitoring: Track mentions of your brand on social media platforms and gauge public opinion.
  • Campaign Analysis: Evaluate the effectiveness of a marketing campaign by analyzing sentiment and engagement metrics.
  • Trend Identification: Discover emerging trends related to specific keywords or topics.
  • Competitive Research: Understand what people are saying about competitors and identify opportunities for differentiation.

Key capabilities

  • Sentiment analysis from social media posts
  • Trending topic identification within a specified timeframe
  • Summarization of key themes in online conversations

Example prompts

  • "Analyze the sentiment around [product name] on Twitter over the last week."
  • "What are the trending topics related to [industry/keyword]?"
  • "Summarize the main points being discussed about [event/campaign]."

Tips & gotchas

The quality of analysis depends heavily on the volume and relevance of social media data available. Be specific with your search terms and timeframes for best results.