finding-tiktok-creators-using-trending-sounds

Finds TikTok creators using trending sounds or viral audio tracks using apidojo's TikTok Music...

What this skill does for you

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 count, views, likes, hashtags, and song metadata per post. Ideal for music labels, brand trend spotters, and influencer marketing teams.

Quoted from the skill description in the pinned source

Who made it

Publisherapidojo-io

Repositoryapidojo-skills

Installs433as 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 finding-tiktok-creators-using-trending-sounds skill from apidojo-io/apidojo-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: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. 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: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. 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: ffbdc00cbd01d09802e7f389ac4f61d4803972a7. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/apidojo-io/apidojo-skills
Pinned skill file: View source at revision
Revision: ffbdc00cbd01d09802e7f389ac4f61d4803972a7
Package hash: sha256:b25cb177a84e6b1b06a71761ef9a05206343e2a3460891563bfaaea3e51e526b
Licence: Apache-2.0