Amazon-Skills: Free AI agent skills for Amazon sellers— keyword research, competitor analysis, listing audit & more

by nexscope-ai · Claude Skill · ★ 591

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

How to install Amazon-Skills

npx skills add nexscope-ai/Amazon-Skills -g
npx skills add nexscope-ai/Amazon-Skills --skill <skill-name> -g

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

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-agentsamazonamazon-seller-automationamazon-seller-toolsclaude-codeclaude-skillsecommerceopenclawopenclaw-skillsskills

Quick Facts

Stars591
Forks98
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score65/100
Open Issues4
Last Updated2026-08-26
Created2026-03-10
Platformsclaude-code, codex, python
Est. Tokens~16k

About Amazon-Skills

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...

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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:

View on GitHub → Browse Claude Skill tools