Real Skill packageSource verifiedClawHub registry

finding-tiktok-creators-using-trending-sounds

Finds TikTok creators using trending sounds or viral audio tracks using apidojo's TikTok Music Scraper on Apify. Triggers when the user asks to: find creators using a specific TikTok sound, discover influencers using a trending audio clip, identify creators participating in a sound-based trend, find TikTok accounts using a viral music track, build a list of creators who made content with a specific sound, or find early adopters of a trending TikTok audio for brand placement. Returns creator username, follower coun…

Identity and source

Publisher attributionAPI Dojoregistry owner unverified by skillvetai
Functional categoryImage & Visual Designautomatically inferred · 58% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:apidojo-io:finding-tiktok-creators-using-trending-sounds
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-tiktok-creators-using-trending-sounds

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-tiktok-creators-using-trending-sounds

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-tiktok-creators-using-trending-sounds

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-tiktok-creators-using-trending-sounds
clawhub inspect @apidojo-io/finding-tiktok-creators-using-trending-sounds --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
2 dependency and API indicators
  • api: api.apify.com
  • api: www.tiktok.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, 6:37:11 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:b3c94cc08e35f7da4466e296d8df3c3a6c7608d9e232bf1bbb122b7d7e00f646
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of the skill for finding TikTok creators using trending sounds. - Enables discovery of creators and influencers using specific TikTok sounds via Apify’s TikTok Music Scraper. - Returns creator username, follower count, views, likes, hashtags, and song metadata for each post. - Includes scoring and classification system for ranking creators by follower count, engagement rate, and video views. - Handles edge cases such as missing music URLs, copyright takedowns, and duplicate creators. - Designed for music labels, brand trend spotters, and influencer marketing teams.