analytics-tracking-automation: AI-powered GA4 + GTM event tracking — automates site analysis, event schema, GTM sync, preview verification

by jtrackingai · Claude Skill · ★ 145

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install analytics-tracking-automation

git clone https://github.com/jtrackingai/analytics-tracking-automation.git
npx skills add jtrackingai/analytics-tracking-automation

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillai-agentai-skillanalyticsanalytics-automationclaude-codeclaude-code-skillclaude-skillsevent-trackingga4

Quick Facts

Stars145
Forks41
LanguageTypeScript
CategoryClaude Skill
LicenseApache-2.0
Quality Score72/100
Open Issues1
Last Updated2026-04-29
Created2026-04-02
Platformsclaude-code, codex, node
Est. Tokens~140k

About analytics-tracking-automation

GA4 + GTM, done by AI. From site analysis to go live. Works with Cursor · Codex · Any AI Agent What You Get · Installation · Quick Start · Website Analytics Tracking Automation is a local-first AI skill for planning, reviewing, and delivering GA4 + GTM tracking.

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  • gtm-mcp-server — semantic(0.32)+complementary+rare_topics+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools