by nexscope-ai · Claude Skill · ★ 2
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 2 |
| Forks | 1 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 56/100 |
| Last Updated | 2026-08-28 |
| Created | 2026-07-20 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~13k |
Portable skills for ecommerce SEO, GEO readiness, structured data, product-listing optimization, keyword gaps, and buyer-intent content.
Looking for a ecommerce-seo-geo-skills alternative? If you're comparing ecommerce-seo-geo-skills with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Agnes AI skill for text, image, and video APIs with persistent auth and OpenAI-style workflows
Claude Code plugin that tells you why your site won't get cited by AI — and fixes the discoverability files au
A set of skills and MCP connector to allow agents to build Vapi AI agents, from creating tools and assistants
Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors
74 production-ready Claude Code skills and 7 specialized agents for engineering, DevOps, product workflows, UI
Coordinate skills between Codex, Copilot, and Claude Code. Validates, analyzes, and syncs skills, subagents, c
Explore other popular claude skill tools:
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: