MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Audit suspicious Amazon review patterns and proposed review-growth tactics for policy risk, then replace unsafe ideas with official reporting and compliant review programs.
MITAuto-check passed
Install Sealeap Amazon Review Manipulation Risk Audit
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-review-manipulation-risk-audit --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit .claude/skills/sealeap-amazon-review-manipulation-risk-audit && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sealeap-amazon-review-manipulation-risk-audit" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit into .claude/skills/sealeap-amazon-review-manipulation-risk-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-review-manipulation-risk-audit", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-auditType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-review-manipulation-risk-audit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit .agents/skills/sealeap-amazon-review-manipulation-risk-audit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-amazon-review-manipulation-risk-audit" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit into .agents/skills/sealeap-amazon-review-manipulation-risk-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-review-manipulation-risk-audit", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-review-manipulation-risk-audit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit .cursor/skills/sealeap-amazon-review-manipulation-risk-audit && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sealeap-amazon-review-manipulation-risk-audit" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit into .cursor/skills/sealeap-amazon-review-manipulation-risk-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-review-manipulation-risk-audit", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/xjli360/sealeap-amazon-skills.git --path amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-review-manipulation-risk-audit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit .gemini/skills/sealeap-amazon-review-manipulation-risk-audit && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sealeap-amazon-review-manipulation-risk-audit" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit into .gemini/skills/sealeap-amazon-review-manipulation-risk-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-review-manipulation-risk-audit", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-review-manipulation-risk-auditInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit .github/skills/sealeap-amazon-review-manipulation-risk-audit && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-amazon-review-manipulation-risk-audit" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit into .github/skills/sealeap-amazon-review-manipulation-risk-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-review-manipulation-risk-audit", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-review-manipulation-risk-audit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit .opencode/skills/sealeap-amazon-review-manipulation-risk-audit && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-amazon-review-manipulation-risk-audit" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit into .opencode/skills/sealeap-amazon-review-manipulation-risk-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-review-manipulation-risk-audit", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sealeap-amazon-review-manipulation-risk-audit- GitHub stars
- 251
- Token cost
- ~535 tokens
- SKILL.md length
- 94 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Audit suspicious Amazon review patterns and proposed review-growth tactics for policy risk, then replace unsafe ideas with official reporting and compliant review programs.
- Works in 6 steps: 分类风险提议 → 记录公开信号 → 核对当前政策 → …
- The user encounters sudden review spikes
- SKILL.md covers 目标, 适用任务, 开始前要拿到 and 不可妥协的边界, plus 4 more sections
- Runs Python scripts from its folder
What it does
Sealeap Amazon Review Manipulation Risk Audit is an agent skill from xjli360/sealeap-amazon-skills. Audit suspicious Amazon review patterns and proposed review-growth tactics for policy risk, then replace unsafe ideas with official reporting and compliant review programs. Use when the user encounters sudden review spikes, asks about 直评突破, synchronized submissions, paid reviews, review services, or how to investigate competitor review anomalies. Do not reverse-engineer or enable manipulation.
Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `scripts/mcp_research.py`).
It works with Model Context Protocol. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.
When your agent uses it
- The user encounters sudden review spikes
- Asks about 直评突破
- Synchronized submissions
- Review services
Example prompts
- “/sealeap-amazon-review-manipulation-risk-audit”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 497d4b8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Sealeap Amazon Review Manipulation Risk Audit loads about 535 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 94 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 94 words, ~535 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-amazon-review-manipulation-risk-audit/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- sealeap-amazon-review-manipulation-risk-audit
- description
- Audit suspicious Amazon review patterns and proposed review-growth tactics for policy risk, then replace unsafe ideas with official reporting and compliant review programs. Use when the user encounters sudden review spikes, asks about 直评突破, synchronized submissions, paid reviews, review services, or how to investigate competitor review anomalies. Do not reverse-engineer or enable manipulation.
Amazon 评论操纵风险审计
目标
识别异常评论只是风险信号还是可验证违规，并把任何绕过式获评诉求转成合规处置与官方获评方案。
适用任务
- 竞品短期出现异常评论，需要做风险判断。
- 团队或服务商提出直评、批量账号、同步提交等方案。
- 需要决定是否向 Amazon 报告可疑评论。
开始前要拿到
- 公开可见评论变化、评论类型、变体结构和站点情况。
- 服务商方案原文、费用、承诺和要求的账号或订单动作。
- 当前 Amazon Customer Reviews policies 与官方报告入口。
缺失的数据要明确列为缺口，并把结论标成事实、估算或假设；不要补造数字。
不可妥协的边界
- 拒绝提供批量账号、同步提交、无购买评论、付费评论或规避检测的步骤。
- 异常模式不是违规定论；不得公开指认买家或竞争对手，也不得捏造证据。
- 不得以测试为名实际下单、操纵评论或访问他人账号。
- 当前 Amazon 官方政策、帮助页、账户资格和后台实际字段优先于本 Skill 中的经验框架；规则可能变化时先核验。
- 默认提供诊断或草案。写入前展示对象、旧值、新值、影响、停止线与回退，核对用户已有授权是否覆盖对象、动作与预算；范围已明确授权时继续执行并回读核验，只有未覆盖或扩大的范围才请求批准。
- 不输出原素材的创作者身份、账号、链接、视频编号或可反查线索；当前业务证据的官方来源、采集时间和口径仍需保留。
第三方 MCP 数据
只有在本任务确实需要外部市场、竞品、关键词或公开网页证据时，才读取 references/mcp-data-plan.md，并使用 scripts/mcp_research.py。
- 先动态执行 tools/list、search-tools 和 describe，依据实时 inputSchema 构造参数，不照搬历史工具名。
- 凭证只从环境变量读取，不放进命令参数、URL、Skill、结果文件或 Git。
- tools/call 可能计费。调用前展示 Provider、工具名、无密钥参数、预计成本与输出位置，核对已有授权覆盖后才加 --allow-cost；该标志不是费用上限。
- 第三方数据标为估算或代理证据，记录 Provider、工具、无密钥参数、查询时间和原始结果位置；失败一次后记录缺口，不反复消耗额度。
- 脱敏结果用 --output 写到 Skill 包之外的任务私有目录；不假设安装位置受仓库 .gitignore 保护，不把运行结果写入 Skill 包。
工作流
1. 分类风险提议
识别是否涉及报酬、返现、控制内容、非真实变体、账号群或规避系统；命中即标为不可执行。
2. 记录公开信号
保存公开页面、时间范围和变化趋势，只记录可见事实，不收集或曝光无关个人信息。
3. 核对当前政策
优先引用 Amazon 官方评论政策和报告路径，区分明确禁止、需要更多信息和允许行为。
4. 建立替代方案
符合资格时考虑 Vine、Request a Review、改进产品与售后，以及不影响评价倾向的中立沟通。
5. 决定是否报告
只有具备具体可验证材料时才通过官方渠道提交；陈述事实和政策条款，不推断幕后主体。
6. 建立内部控制
记录服务商黑名单、审批要求和员工培训，防止高风险方案被重新包装。
判断标准
- 输出不包含任何可复现评论操纵步骤。
- 证据、推断和未知项清晰分开。
- 替代方案符合当前站点和项目资格。
必须交付的结果
- 评论方案风险分级。
- 公开异常信号与证据缺口。
- 官方政策核对和报告草稿。
- 合规获评替代路径。
结尾列出数据窗口、关键假设、证据缺口、风险和下一步；如包含待执行动作，单独放在“待批准变更”中。
© xjli360, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Amazon Review Manipulation Risk Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sealeap Amazon Review Manipulation Risk Audit this skillxjli360/sealeap-amazon-skills | 251 | — | ~535 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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Questions about Sealeap Amazon Review Manipulation Risk Audit
What does Sealeap Amazon Review Manipulation Risk Audit do?
Audit suspicious Amazon review patterns and proposed review-growth tactics for policy risk, then replace unsafe ideas with official reporting and compliant review programs. Sealeap Amazon Review Manipulation Risk Audit is an agent skill from xjli360/sealeap-amazon-skills. Audit suspicious Amazon review patterns and proposed review-growth tactics for policy risk, then replace unsafe ideas with official reporting and compliant review programs.
When should I use Sealeap Amazon Review Manipulation Risk Audit?
Sealeap Amazon Review Manipulation Risk Audit fits situations like: the user encounters sudden review spikes; asks about 直评突破; synchronized submissions; review services.
How do I install Sealeap Amazon Review Manipulation Risk Audit in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a claude-code`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-review-manipulation-risk-audit in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Amazon Review Manipulation Risk Audit in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a codex`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-review-manipulation-risk-audit in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-review-manipulation-risk-audit in your project. Codex loads it when a task matches its description.
Can I use Sealeap Amazon Review Manipulation Risk Audit in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-review-manipulation-risk-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-amazon-review-manipulation-risk-audit, .gemini/skills/sealeap-amazon-review-manipulation-risk-audit, .github/skills/sealeap-amazon-review-manipulation-risk-audit and .opencode/skills/sealeap-amazon-review-manipulation-risk-audit in your project.
What does Sealeap Amazon Review Manipulation Risk Audit need to run?
Going by SKILL.md and its folder, Sealeap Amazon Review Manipulation Risk Audit needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Amazon Review Manipulation Risk Audit access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Sealeap Amazon Review Manipulation Risk Audit safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Sealeap Amazon Review Manipulation Risk Audit use?
Sealeap Amazon Review Manipulation Risk Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sealeap Amazon Review Manipulation Risk Audit use?
About 535 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Amazon Review Manipulation Risk Audit?
Skills that share tags, products or a category with Sealeap Amazon Review Manipulation Risk Audit: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Amazon Review Manipulation Risk Audit?
xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.
Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.