← Back to Skills Marketplace
nexscope

Amazon Vine Program

by nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
140
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install amazon-vine-program
Description
Vine review program strategy — enrollment, product selection, timing, review quality maximization
README (SKILL.md)

Amazon Vine Program

Vine review program strategy — enrollment, product selection, timing, review quality maximization

Supported platforms: Amazon (US, UK, DE, CA, JP, AU, and all marketplaces).

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope/amazon-vine-program

Usage

Help me with amazon vine program for my e-commerce business.

Capabilities

  • Vine review program strategy
  • enrollment
  • product selection
  • timing
  • review quality maximization

How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format

  • Start with a summary of findings
  • Include specific data points and benchmarks where available
  • Provide prioritized action items
  • Mark estimates with ⚠️ when based on incomplete data
  • End with concrete next steps

Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Usage Guidance
This skill appears to be a harmless, consultative helper for Amazon Vine strategy and does not request credentials or install code. Before installing, consider: 1) confirm you will not be asked to share Amazon account credentials — legitimate strategy advice does not require them; 2) verify compliance with Amazon's program policies before acting on any aggressive review solicitation recommendations; 3) understand the agent may perform web lookups or use external knowledge when it says it will 'research' — if you prefer no external browsing, specify that in your prompt. Because the skill is instruction-only, installation risk is low; treat any follow-up prompts that request account logins, CSV exports of private data, or other secrets as red flags.
Capability Analysis
Type: OpenClaw Skill Name: amazon-vine-program Version: 1.0.0 The skill bundle contains only metadata and Markdown instructions (SKILL.md) for providing Amazon Vine program strategy. There is no executable code, no requests for sensitive system access, and no evidence of malicious prompt injection or data exfiltration. The instructions are focused entirely on the stated purpose of e-commerce consulting.
Capability Assessment
✓ Purpose & Capability
Name and description (Amazon Vine strategy: enrollment, product selection, timing, review quality) match the SKILL.md capabilities. The skill requests no binaries, env vars, or config paths, which is appropriate for a consultative strategy skill.
ℹ Instruction Scope
Instructions are primarily conversational: collect product/context, ask a single multi-choice follow-up, then 'research and analyze' and return structured recommendations. This is coherent for a strategy skill, but the SKILL.md is vague about how 'research' is performed (no explicit data sources or API calls). That vagueness grants the agent discretionary behavior (e.g., web lookups) but does not itself require sensitive access.
✓ Install Mechanism
No install spec or code files are included; the README shows an npx command to add the skill from a registry, which is expected. Because nothing is downloaded or written by the skill itself in SKILL.md, install risk is minimal.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a guidance/strategy skill and avoids credential exposure.
✓ Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request persistent system-level privileges or modify other skills' configs. Autonomous invocation is normal and not a concern here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install amazon-vine-program
  3. After installation, invoke the skill by name or use /amazon-vine-program
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug amazon-vine-program
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Amazon Vine Program?

Vine review program strategy — enrollment, product selection, timing, review quality maximization. It is an AI Agent Skill for Claude Code / OpenClaw, with 140 downloads so far.

How do I install Amazon Vine Program?

Run "/install amazon-vine-program" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Amazon Vine Program free?

Yes, Amazon Vine Program is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Amazon Vine Program support?

Amazon Vine Program is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Amazon Vine Program?

It is built and maintained by nexscope-ai (@nexscope); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments