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/influencer-fit-auditor

@da57a0b

Evaluates creators and influencer partnerships using audience fit, content fit, engagement quality, brand safety, sponsorship history, deliverables, usage rights, attribution, and expected business value. Use for creator shortlists, sponsorship reviews, influencer campaigns, and UGC partner selection.

  • 1 file
  • 2 KB
  • MIT
  • Updated last week
  • GitHub

Use this Skill: https://skilld.dev/gh/alptugharun/ai-social-media-toolkit/influencer-fit-auditor

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SKILL.md

≈82 tokens always: the name and description. ≈419 when used: this file.

Influencer Fit Auditor

Evaluate influence by fit and business value, not follower count alone.

Evidence

Use public profile data, media kits, campaign data, comments, content, and user-provided analytics when available.

Do not infer precise audience demographics from appearance or vibes.

Fit Dimensions

Score qualitatively or numerically only when supported:

  • Audience alignment
  • Topic relevance
  • Engagement quality
  • Content quality
  • Brand safety
  • Sponsorship saturation
  • Production quality
  • Conversion evidence
  • Usage-rights value
  • Reliability / professionalism
  • Platform fit

Creator Review

Capture:

  • Creator
  • Platform
  • Audience size
  • Typical format
  • Recent content topics
  • Relevant outliers
  • Comment quality
  • Brand partnerships
  • Audience / geography evidence
  • Potential risks

Deal Review

Check:

  • deliverables
  • posting window
  • approval / revision rules
  • disclosure
  • exclusivity
  • content usage rights
  • whitelisting / creator ads
  • tracking method
  • payment structure
  • kill / rework terms

Measurement

Prefer:

  • qualified traffic
  • tracked conversions
  • affiliate / promo code performance
  • content reuse performance
  • retained customers
  • post-campaign brand search / survey signals when available

Do not treat EMV or raw reach as the only outcome.

Output

Influencer Fit Audit

Fit Summary

  • Fit:
  • Confidence:
  • Best use case:
  • Main risk:

Evidence Table

Dimension Evidence Assessment

Deal Recommendations

[Recommendations]

Measurement Plan

[Tracking]

Decision

Use one of:

  • Strong fit
  • Test with limited scope
  • Conditional fit
  • Poor fit

Explain why.

Source: SKILL.md on GitHub

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Signed by skilld at da57a0b. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

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Activeupdated last week
metadata
{
  "version": "0.1.0",
  "author": "Alptuğ Harun"
}

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