Real Skill packageSource verifiedClawHub registry

Analyzing TikTok Hashtag Performance

Analyzes TikTok hashtag performance, reach, and trending content using apidojo's TikTok scraper on Apify. Triggers when the user asks to: analyze a TikTok hashtag, find trending hashtags on TikTok in a niche, see which hashtags perform best for a content type, compare hashtag reach and total view counts on TikTok, identify viral content under a hashtag, research TikTok hashtag strategy for a campaign, find which hashtags a competitor uses most, or determine the best hashtags to use for a TikTok post. Returns hasht…

Identity and source

Publisher attributionAPI Dojoregistry owner unverified by skillvetai
Functional categoryMarketing, SEO & Salesautomatically inferred · 68% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:apidojo-io:analyzing-tiktok-hashtag-performance
Open canonical source ↗

Platform declarations

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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/analyzing-tiktok-hashtag-performance

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/analyzing-tiktok-hashtag-performance

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/analyzing-tiktok-hashtag-performance

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/analyzing-tiktok-hashtag-performance
clawhub inspect @apidojo-io/analyzing-tiktok-hashtag-performance --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

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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, 6:35:22 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:b1a14a2c88fb56c7087e167e713337ab4f511d46ac0379271aa17a1e4a437169
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

Initial release — analyze and compare TikTok hashtag performance. - Scrapes TikTok hashtag pages for video, creator, and engagement data using apidojo's TikTok scraper on Apify. - Allows analysis of hashtag reach, top content, trending videos, and engagement benchmarks. - Supports structured comparison of multiple hashtags for campaigns, competitor research, or post optimization. - Returns actionable hashtag strategy recommendations, including best performers and creator insights. - Designed for social media managers, content strategists, and TikTok growth consultants.