agentkits-marketing: Enterprise-grade AI marketing automation for Claude Code, Cursor, GitHub Copilot, and any AI assistant

by aitytech · Claude Skill · ★ 588

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

How to install agentkits-marketing

/plugin marketplace add aitytech/agentkits-marketing
/plugin install agentkits-marketing@agentkits-marketing

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 66/100

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. Full audit →

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.

Quick Facts

Stars588
Forks75
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score66/100
Last Updated2026-08-28
Created2026-01-24
Platformsclaude-code, python
Est. Tokens~18k

About agentkits-marketing

AgentKits Marketing Enterprise-grade AI marketing automation for Claude Code, Cursor, GitHub Copilot, and any AI assistant supporting agents & skills. Production-ready marketing agents, skills, commands, and workflows built for SaaS founders, marketers, and growth teams. Campaign planning, content creation, SEO, CRO, email sequences, and analytics - all powered by specialized AI agents.

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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