fit-scorer

Score influencer campaign fit using STAR Suitability and commercial fit matrices.

2.5k|345|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills --skill fit-scorer-aaron-he-zhu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fit-scorer
Source: https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/influencer/scout/fit-scorer
Command: npx skills add https://github.com/aaron-he-zhu/aaron-marketing-skills --skill fit-scorer-aaron-he-zhu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, scripts, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides an objective, weighted scoring system to evaluate influencer fit for a specific campaign, streamlining the selection process and ensuring a strong alignment with campaign goals.

Core Features & Use Cases

  • Objective Scoring: Evaluates influencers based on typed STAR Suitability (S) and campaign-specific commercial fit.
  • Campaign Fit Ranking: Separates campaign-specific commercial terms and availability from the Suitability score.
  • Use Case: Ideal for comparing and ranking a shortlist of influencers for a campaign, setting evaluation standards, and justifying influencer selections to stakeholders.

Quick Start

Score @handle for [brand/campaign] and tell me if they're a good fit.

Frequently Asked Questions about fit-scorer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I score influencers for campaign fit objectively?

Objective influencer scoring evaluates campaign fit by applying a weighted STAR Suitability score and a separate commercial fit matrix, relying strictly on user-provided handles and campaign goals without needing live API integrations.

What is the STAR framework in influencer marketing?

In influencer marketing, the STAR framework provides a typed Suitability score that measures an influencer's baseline alignment with a brand, strictly separating intrinsic fit from campaign-specific commercial terms and availability.

How do I rank a shortlist of influencers for a brand marketing campaign?

Rank a shortlist of influencers by submitting their handles and campaign goals to a weighted scoring system, which processes commercial fit and STAR Suitability to output a justified comparative ranking for stakeholders.

Do I need live API integrations to evaluate influencer suitability?

No, evaluating influencer suitability requires no live API integrations. The scoring process relies entirely on user-provided inputs like influencer handles and campaign goals, processing data locally using Python scripts.

What is the best way to justify influencer selections to stakeholders?

The best way to justify influencer selections is using an objective, weighted scoring system that generates a campaign fit ranking, isolating campaign-specific commercial terms from the core STAR Suitability score to provide clear evaluation standards.