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Skill evidence / influencer-discovery-brief
Skill profile

influencer-discovery-brief

Define creator sourcing criteria and produce the discovery brief used to shortlist candidate...

What this skill does for you

Define creator sourcing criteria and produce the discovery brief used to shortlist candidate influencers and creators - weighted criteria for audience fit, engagement quality, niche consistency and brand safety, knockout screens, and a ranked shortlist scoring template with evidence per score. Covers B2C brand campaigns and B2B creator and thought-leader programs. Use whenever the user mentions finding creators, vetting influencers, audience fit, creator shortlists, or deciding which creators to approach, even if they never say discovery. Runs before any contact. Do NOT use for writing the pitch message itself - use mbfinotti/partnerships-skills@influencer-outreach instead.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti
Installs612as 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-discovery-brief 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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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
sha256:3d1d017d6cd48e7c4d123b331faa129baa5fedc6c2f926bf1a1cc0b191d5ad93
Licence
MIT