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Influencer Analyzer

Checked
drshailesh88·vlatest·marketing

Analyzes social media influencers’ audience demographics & engagement to inform marketing strategy and identify top-performing voices.

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 drshailesh88/integrated_content_os --skill influencer-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

drshailesh88

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 drshailesh88/integrated_content_os at 9e61937ad2.

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

Commit
9e61937ad2
Manifest
skills/cardiology/influencer-analyzer/SKILL.md
Scanned
3 files, 866 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-analyzer skill provides insights into social media influencers. It can analyze an influencer's profile, including metrics like follower count and engagement rate. This allows users to assess the potential reach and impact of collaborating with specific individuals on social media platforms.

When to use it

  • Marketing Campaign Planning: Identify suitable influencers for promoting a product or service.
  • Competitive Analysis: Evaluate the performance of competitors' influencer marketing strategies.
  • Brand Reputation Management: Assess the alignment of an influencer’s values with your brand.
  • Due Diligence: Verify the authenticity and audience demographics of potential collaborators.

Key capabilities

  • Influencer profile analysis
  • Follower count assessment
  • Engagement rate calculation

Example prompts

  • "Analyze the Instagram profile of @example_influencer."
  • "What is the engagement rate for @another_influencer on TikTok?"
  • "Give me a summary of @yet_another_influencer's social media presence."

Tips & gotchas

The accuracy of the analysis depends on publicly available data. Some influencers may use strategies to inflate their follower count or engagement metrics, so cross-validation is recommended.