r01-hesreallyhim-awesome-claude-code-seo: SEO & Content Marketing skill suite derived from hesreallyhim/awesome-claude-code

by RadianLayer41 · Agent Tool · ★ 68

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Security audit verdict: SAFE · quality 60/100

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

Stars68
Forks0
CategoryAgent Tool
Quality Score60/100
Last Updated2026-04-28
Created2026-04-28
Platformsclaude-code
Est. Tokens~1k

About r01-hesreallyhim-awesome-claude-code-seo

📈 SEO & Content Marketing Skills Suite Derived from hesreallyhim/awesome-claude-code Adaptation of for SEO & Content Marketing use cases. Source focus: curated resources, skills, hooks, agents What This Skill Suite Does Keyword research, content audits, SERP analysis, technical SEO and content strategy.

Compatible Skills

These tools work well together with r01-hesreallyhim-awesome-claude-code-seo for enhanced workflows:

  • on-page-seo — semantic(0.35)+complementary+similar_pop+shared_platform (52%)
  • AbsolutelySkilled — semantic(0.32)+complementary+similar_pop+shared_platform (51%)
  • claude-youtube — semantic(0.29)+complementary+similar_pop+shared_platform (50%)
  • awesome-claude-code — semantic(0.40)+complementary+similar_pop+shared_platform (49%)

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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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