Real Skill packageSource verifiedClawHub registry

discovering-brand-ambassadors-across-platforms

Discovers potential brand ambassadors across Instagram TikTok and Twitter using apidojo's scrapers. Triggers when the user asks to: find brand ambassadors across multiple platforms, discover cross-platform creators for brand ambassador programs, find creators who would make good ambassadors across social media, identify multi-platform influencers for ambassador recruitment, find creators with audiences on multiple platforms for a brand partnership, build a multi-platform brand ambassador pipeline, or discover crea…

Identity and source

Publisher attributionAPI Dojoregistry owner unverified by skillvetai
Functional categoryWriting, Content & Translationautomatically inferred · 62% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:apidojo-io:discovering-brand-ambassadors-across-platforms
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/discovering-brand-ambassadors-across-platforms

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/discovering-brand-ambassadors-across-platforms

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/discovering-brand-ambassadors-across-platforms

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/discovering-brand-ambassadors-across-platforms
clawhub inspect @apidojo-io/discovering-brand-ambassadors-across-platforms --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: clean

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, 6:35:59 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

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

Package content hashsha256:ee892ae64e22911ce2deca9e020fe8bec52af33f3a31f8666d2197b83a825f98
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

Initial release—discover and evaluate brand ambassadors across Instagram, TikTok, and Twitter. - Finds creators who have presence and engagement across multiple social platforms. - Delivers per-platform handles, estimated combined reach, brand affinity, engagement metrics, and tier classification. - Automates platform-specific scraping with apidojo’s Instagram, TikTok, and Twitter actors. - Workflow guides users through discovery, classification, scoring, and output formatting. - Handles edge cases, such as low result counts and multi-platform audience disparities.