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Influencer Evaluator

Checked
yangliu2060·vlatest·marketing

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

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 smithjohn78390/smith--skills --skill influencer-evaluator -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

yangliu2060

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 yangliu2060/smith--skills at 332d98c826.

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

Commit
332d98c826
Manifest
influencer-evaluator/SKILL.md
Scanned
1 file, 311 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 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.