Real Skill packageSource verifiedClawHub registry

finding-affiliate-marketers-on-social-media

Finds affiliate marketers and performance marketing creators on Instagram and TikTok using apidojo's scrapers. Triggers when the user asks to: find affiliate marketers for a product category, discover creators running affiliate campaigns on social media, identify performance marketers promoting products in a niche, find social media affiliates for a brand program, discover who is promoting competitor affiliate links, build an affiliate creator recruitment list, or find content creators with affiliate marketing exp…

Identity and source

Publisher attributionAPI Dojoregistry owner unverified by skillvetai
Functional categoryMarketing, SEO & Salesautomatically inferred · 81% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:apidojo-io:finding-affiliate-marketers-on-social-media
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/3/2026.claude/skills/finding-affiliate-marketers-on-social-media

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/3/2026.agents/skills/finding-affiliate-marketers-on-social-media

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/3/2026skills/finding-affiliate-marketers-on-social-media

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @apidojo-io/finding-affiliate-marketers-on-social-media
clawhub inspect @apidojo-io/finding-affiliate-marketers-on-social-media --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
1 / 1 inspected as text
Checked
9/3/2026, 4:23:02 AM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
1 dependency and API indicators
  • api: api.apify.com
External clawhub result: suspicious

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/3/2026, 6:36:38 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:a698d1752f3f1ef40624a1410e7db7541b8b45dfde08976fbe4f72db6d8f0d14
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

- Initial release: Enables finding affiliate marketers and performance marketing creators on Instagram and TikTok using apidojo's scrapers. - Supports targeting by product category, niche, or competitor. - Returns creator handle, platform, affiliate signal strength, niche focus, engagement rate, and promo code count. - Provides classification of results (active affiliate, occasional promoter, affiliate audience) and scoring for relevance. - Includes troubleshooting guidance for low result counts or data quality issues.