No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by nexscope-ai · Claude Skill · ★ 515
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Amazon Skills by Nexscope 53 free AI agent skills built for Amazon sellers — keyword research, listing optimization, FBA calculations, PPC campaigns & more. Works with OpenClaw · Claude Code · Cursor · Windsurf · Codex · any Skills-compatible agent Quick Start Install all 53 skills at once: Or install a specific skill: Example — install the keyword research skill: Then just ask your AI assistant naturally: "Research the keyword 'portable blender' on Amazon US — show me search volume, competition, and opportunity score." What Are Amazon Skills? Amazon skills are plain-text instruction files that give AI a
| Stars | 515 |
| Forks | 89 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65.2901857409643/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-23 |
| Created | 2026-03-10 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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Amazon-Skills is Free AI agent skills for Amazon sellers— keyword research, competitor analysis, listing audit & more. Works with OpenClaw, Claude Code, Cursor, Windsurf, Codex and any agent that supports the Skills . It is categorized as a Claude Skill with 515 GitHub stars.
Amazon-Skills is primarily written in Python. It covers topics such as ai-agents, amazon, amazon-seller-automation.
You can find installation instructions and usage details in the Amazon-Skills GitHub repository at github.com/nexscope-ai/Amazon-Skills. The project has 515 stars and 89 forks, indicating an active community.
Amazon-Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Amazon-Skills on Agent Skills Hub include awesome-agent-skills, ios-simulator-skill, ok-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.