Real Skill packageSource verifiedClawHub registry

analyzing-youtube-competitor-channel-strategy

Analyzes competitor YouTube channel strategy and content performance using apidojo's YouTube scraper. Triggers when the user asks to: analyze a competitor's YouTube channel strategy, understand what makes a competitor YouTube channel successful, benchmark a YouTube channel against a competitor, find patterns in a competitor's YouTube content that drive growth, analyze the content mix and publishing cadence of a competitor channel, understand a competitor's YouTube audience and engagement, or reverse-engineer what…

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:analyzing-youtube-competitor-channel-strategy
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/analyzing-youtube-competitor-channel-strategy

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-youtube-competitor-channel-strategy

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-youtube-competitor-channel-strategy

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-youtube-competitor-channel-strategy
clawhub inspect @apidojo-io/analyzing-youtube-competitor-channel-strategy --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.youtube.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, 6:35:24 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:afa030d728e353a9961a02c753d6b09615b0045b3a422a8e5eb74fb9a780bcc0
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

Initial release — analyze competitor YouTube channel strategies and content performance. - Scrapes and benchmarks YouTube competitor channels for content mix, publishing cadence, and engagement. - Classifies channels by growth status and scores quality/relevance using view rate and custom metrics. - Supports flexible input: channel URLs, handles, keywords, trending, and advanced filtering. - Includes edge-case handling for viral or underperforming channels to ensure reliable benchmarking. - Output delivers actionable insights for strategists and analysts; recommended usage and troubleshooting steps provided.