← 返回 Skills 市场
nexscope

Amazon Suspension Appeal

作者 nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
145
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install amazon-suspension-appeal
功能描述
Account suspension prevention and appeal — policy violations, Plan of Action writing, reinstatement process
使用说明 (SKILL.md)

Amazon Suspension Appeal

Account suspension prevention and appeal — policy violations, Plan of Action writing, reinstatement process

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-suspension-appeal

Usage

Help me with amazon suspension appeal for my e-commerce business.

Capabilities

  • Account suspension prevention and appeal
  • policy violations
  • Plan of Action writing
  • reinstatement process

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.

安全使用建议
This skill appears to do what it says, but before installing: verify the publisher (Nexscope) and prefer public repo or privacy policy links; never share Seller Central passwords, MFA codes, private API keys, or full account logins — provide case details, order IDs, screenshots, and redacted documents instead; consider using official Amazon Seller Support or legal counsel for high-risk reinstatements; if the skill requests credentials later, decline and ask for an alternative workflow (e.g., redact sensitive fields). If you need stronger assurance, ask the publisher for the skill's source code or a privacy/data-handling statement.
功能分析
Type: OpenClaw Skill Name: amazon-suspension-appeal Version: 1.0.0 The skill bundle contains only metadata and markdown instructions (SKILL.md) for an AI agent to assist with Amazon account suspension appeals. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection attempts; the instructions are entirely consistent with the stated purpose of providing e-commerce advice.
能力评估
✓ Purpose & Capability
The name, description, and SKILL.md all align: the skill is focused on Amazon suspension prevention, writing Plans of Action, and reinstatement guidance. It does not declare any unrelated env vars, binaries, or config paths.
ℹ Instruction Scope
Runtime instructions are limited to collecting case details from the user, asking one follow-up, researching policies, and producing a structured Plan of Action. The instructions do not tell the agent to read local files or access account credentials. Note: 'research' implies the agent may fetch public Amazon policy pages or other web resources — this is expected for the task but users should avoid pasting credentials or MFA codes into chat.
✓ Install Mechanism
This is an instruction-only skill with no install spec or code files. The SKILL.md shows an example 'npx skills add' command, but there is no install script embedded in the skill bundle — low risk because nothing is written to disk by the skill itself.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths. It does not ask for tokens or keys in its instructions. This is proportionate for a guidance/POA-writing skill.
✓ Persistence & Privilege
The skill does not request always:true or other elevated persistence. It is user-invocable and allows normal autonomous invocation by the agent (the platform default), which is appropriate for this kind of assistance.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install amazon-suspension-appeal
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /amazon-suspension-appeal 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug amazon-suspension-appeal
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Amazon Suspension Appeal 是什么？

Account suspension prevention and appeal — policy violations, Plan of Action writing, reinstatement process. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 145 次。

如何安装 Amazon Suspension Appeal？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-suspension-appeal」即可一键安装，无需额外配置。

Amazon Suspension Appeal 是免费的吗？

是的，Amazon Suspension Appeal 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Amazon Suspension Appeal 支持哪些平台？

Amazon Suspension Appeal 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Amazon Suspension Appeal？

由 nexscope-ai（@nexscope）开发并维护，当前版本 v1.0.0。

推荐 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...
⬇ 463556 · 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.
⬇ 259610 · 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...
⬇ 200551 · 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.
⬇ 191226 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190235 · by oswalpalash

💬 留言讨论