Influencer Evaluator

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by yangliu2060 · vlatest · Repository

This tool analyzes social media profiles to assess an influencer’s authenticity and engagement metrics, boosting marketing campaign effectiveness.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add influencer-evaluator npx -- -y @trustedskills/influencer-evaluator
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "influencer-evaluator": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/influencer-evaluator"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The influencer-evaluator skill assesses social media influencers based on various factors. It can analyze an influencer's audience demographics, engagement rates (likes, comments, shares), and overall brand alignment. The tool provides a quantitative score to help determine an influencer’s suitability for specific campaigns or partnerships.

When to use it

  • Marketing Campaign Planning: Evaluate potential influencers before launching a campaign to ensure they reach the target demographic.
  • Brand Partnership Selection: Determine if an influencer's values and audience align with your brand identity.
  • Competitive Analysis: Analyze competitors’ influencer strategies and identify opportunities for improvement.
  • Due Diligence: Verify an influencer's authenticity and engagement metrics before committing to a partnership.

Key capabilities

  • Audience Demographics Analysis
  • Engagement Rate Calculation (likes, comments, shares)
  • Brand Alignment Assessment
  • Quantitative Scoring System

Example prompts

  • "Evaluate the Instagram influencer @example_influencer for brand alignment with [brand name]."
  • "Analyze the TikTok account 'funnycats' and provide a report on audience demographics."
  • "Score this YouTube channel [channel URL] based on engagement rate and content quality."

Tips & gotchas

The accuracy of the evaluation depends heavily on the availability and reliability of public data. Results should be considered as indicators, not definitive judgments, and supplemented with qualitative assessment.

Tags

🛡️

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Details

Version
vlatest
License
Author
yangliu2060
Installs
8

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Passed automated security scans.