Real Skill packageSource verifiedClawHub registry

discovering-tiktok-shop-sellers-by-niche

Discovers TikTok Shop sellers and product listings in a specific niche using apidojo's TikTok scraper on Apify. Triggers when the user asks to: find TikTok Shop sellers in a product category, discover what products are selling on TikTok Shop, identify top-selling items in a niche on TikTok, find competitors selling on TikTok Shop, research TikTok Shop product opportunities, discover trending products with affiliate links on TikTok, or build a database of TikTok Shop merchants. Returns seller handle, product name,…

Identity and source

Publisher attributionAPI Dojoregistry owner unverified by skillvetai
Functional categoryMarketing, SEO & Salesautomatically inferred · 64% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:apidojo-io:discovering-tiktok-shop-sellers-by-niche
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-tiktok-shop-sellers-by-niche

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-tiktok-shop-sellers-by-niche

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-tiktok-shop-sellers-by-niche

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-tiktok-shop-sellers-by-niche
clawhub inspect @apidojo-io/discovering-tiktok-shop-sellers-by-niche --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, 6:35:31 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 hashsha256:5583356269d5f4ccfc572dac472e8b9222208f6a0367aaaf04f46f146e487907
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

- Initial release of skill to discover TikTok Shop sellers and product listings by niche. - Enables finding top sellers, trending products, and competitors using Apify’s TikTok scraper. - Provides detailed output: seller handle, product name, price, estimated sales signal, and niche category. - Includes workflow for searching, filtering, ranking, and mapping sellers and products. - Designed for e-commerce sellers, researchers, affiliate marketers, and new TikTok Shop entrants.