digital-marketing-pro: An open-source AI based digital marketing operating system for strategy, SEO, AEO/GEO, paid media, content

by indranilbanerjee · Claude Skill · ★ 933

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Featured in: Claude SEO Skills & SEO MCP Servers

How to install digital-marketing-pro

/plugin install digital-marketing-pro@neels-plugins
claude plugin install digital-marketing-pro@neels-plugins

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.

aeoagent-skillsai-marketingclaude-codeclaude-pluginclaude-skillscontent-marketingcursor-plugindigital-marketingdigital-marketing-agency

Quick Facts

Stars933
Forks152
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score66/100
Open Issues2
Last Updated2026-11-07
Created2026-02-11
Platformsclaude-code, codex, python
Est. Tokens~25k

About digital-marketing-pro

Digital Marketing Pro — Claude Code & Cowork Plugin The most comprehensive digital marketing plugin for Claude Code and Claude Cowork. v3.2 closes the v3.1 hook-removal gaps with (explicit pre-publish gate replacing the global PreToolUse hook), (richer on-demand brand snapshot replacing the global SessionStart banner), embedded mandatory hallucination check inside...

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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:

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