influencer-measurement-framework

Design the pre-launch measurement plan for one influencer or creator campaign - KPIs matched to the...

What this skill does for you

Design the pre-launch measurement plan for one influencer or creator campaign - KPIs matched to the objective (awareness, engagement, conversion, affiliate-linked, always-on ambassador), an attribution method and data source behind each KPI, reporting cadence per stakeholder, and declared blind spots. Delivered as a measurement plan document before launch, for B2B and B2C alike. Use whenever the user mentions influencer KPIs, creator campaign attribution, campaign reporting, or asks how to measure a creator partnership, even if they never say measurement. Do NOT use for an ongoing affiliate program dashboard - use mbfinotti/partnerships-skills@affiliate-performance-dashboard instead.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti

Repositorypartnerships-skills

Installs613as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the influencer-measurement-framework skill from mbfinotti/partnerships-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mbfinotti/partnerships-skills
Pinned skill file: View source at revision
Revision: ba2db8acbec9f1d3c7b5c4c5f7e18e68217620dc
Package hash: sha256:6b94e535e1bcb4443a1daf9c49c12d7c750e372005df10ba8b142b6fd794d0a0
Licence: MIT