loamwright-SEO-Skill: Production-grade SEO + GEO content factory for Claude Code

by XuanRanL · Claude Skill · ★ 50

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

Security audit verdict: SAFE · quality 71/100

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.

ai-searchblog-automationchatgptclaude-codeclaude-plugincontent-marketinggenerative-engine-optimizationgeollm-agentsperplexity

Quick Facts

Stars50
Forks10
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score71/100
Last Updated2026-08-17
Created2026-08-01
Platformsclaude-code, python
Est. Tokens~18k

About loamwright-SEO-Skill

Xuanran SEO Blog Writer Production-grade SEO + GEO content factory for Claude Code Research → write → fact-check → optimize → publish → monitor, on the Google + AI search dual front — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews Open-sourced by Loamwright(沃匠), the SEO agency that runs it in production — founder Lewei Zhang English  |  简体中文 Quick Start • Pipeline •...

Compatible Skills

These tools work well together with loamwright-SEO-Skill for enhanced workflows:

  • eGEOagents — semantic(0.48)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (75%)
  • geo-score — semantic(0.32)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (69%)
  • HeiGe-GEO-SEO — semantic(0.51)+complementary+same_lang+similar_pop+shared_platform (68%)

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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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