Review Analysis
liangdabiao/amazon-sorftime-research-MCP-skill
对亚马逊商品评论进行深度分析，自动识别产品痛点、分析退货原因，生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.
亚马逊商品与类目买家反馈洞察。用于按 ASIN 或 browse node 查询评论主题、主题提及量、星级影响、评价趋势、退货主题和退货趋势，帮助分析产品口碑及类目问题。用户提到亚马逊评论分析、评价主题、差评原因、评论趋势、退货原因、退货趋势、ASIN 口碑洞察、类目反馈、MENTIONS、STARRATINGIMPACT、Customer Feedback API 时触发。即使未明确提及…
Install Linkfox Amazon Store Customer Feedback
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-customer-feedback --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/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-amazon-store-customer-feedback .claude/skills/linkfox-amazon-store-customer-feedback && 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 "linkfox-amazon-store-customer-feedback" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-customer-feedback into .claude/skills/linkfox-amazon-store-customer-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-customer-feedback", 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/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-customer-feedbackType 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 linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-customer-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-amazon-store-customer-feedback .agents/skills/linkfox-amazon-store-customer-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-amazon-store-customer-feedback" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-customer-feedback into .agents/skills/linkfox-amazon-store-customer-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-customer-feedback", 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 linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-customer-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-amazon-store-customer-feedback .cursor/skills/linkfox-amazon-store-customer-feedback && 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 "linkfox-amazon-store-customer-feedback" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-customer-feedback into .cursor/skills/linkfox-amazon-store-customer-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-customer-feedback", 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/linkfox-ai/linkfox-skills.git --path skills/linkfox-amazon-store-customer-feedback--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 linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-customer-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-amazon-store-customer-feedback .gemini/skills/linkfox-amazon-store-customer-feedback && 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 "linkfox-amazon-store-customer-feedback" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-customer-feedback into .gemini/skills/linkfox-amazon-store-customer-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-customer-feedback", 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 linkfox-ai/linkfox-skills linkfox-amazon-store-customer-feedbackInstalls 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 linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-amazon-store-customer-feedback .github/skills/linkfox-amazon-store-customer-feedback && 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 "linkfox-amazon-store-customer-feedback" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-customer-feedback into .github/skills/linkfox-amazon-store-customer-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-customer-feedback", 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 linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-customer-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-amazon-store-customer-feedback .opencode/skills/linkfox-amazon-store-customer-feedback && 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 "linkfox-amazon-store-customer-feedback" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-customer-feedback into .opencode/skills/linkfox-amazon-store-customer-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-customer-feedback", 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
linkfox-amazon-store-customer-feedback- GitHub stars
- 107
- Token cost
- ~1.4k tokens
- SKILL.md length
- 273 words
- Files
- 13 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
亚马逊商品与类目买家反馈洞察。用于按 ASIN 或 browse node 查询评论主题、主题提及量、星级影响、评价趋势、退货主题和退货趋势，帮助分析产品口碑及类目问题。用户提到亚马逊评论分析、评价主题、差评原因、评论趋势、退货原因、退货趋势、ASIN 口碑洞察、类目反馈、MENTIONS、STARRATINGIMPACT、Customer Feedback API 时触发。即使未明确提及…
- Works in 3 steps: 依赖 linkfox-amazon-store-auth。 → 通常需 Brand Analytics 或 Selling Partner… → ASIN 一般为子体 ASIN；topics 类接口需…
- Tasks that involve Customer feedback analysis
- SKILL.md covers 调用方式, 解决认证和算力问题, 官方参考索引 and Prerequisites, plus 6 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOXAGENT_API_KEY and LINKFOX_AGENT_API_KEY
What it does
Linkfox Amazon Store Customer Feedback is an agent skill from linkfox-ai/linkfox-skills. 亚马逊商品与类目买家反馈洞察。用于按 ASIN 或 browse node 查询评论主题、主题提及量、星级影响、评价趋势、退货主题和退货趋势，帮助分析产品口碑及类目问题。用户提到亚马逊评论分析、评价主题、差评原因、评论趋势、退货原因、退货趋势、ASIN 口碑洞察、类目反馈、MENTIONS、STARRATINGIMPACT、Customer Feedback API 时触发。即使未明确提及 API，只要希望从聚合反馈中判断某个亚马逊商品或类目的常见好评、差评或退货问题，也应触发此技能。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/_spapi_customer_feedback_common.py`).
It sits in Sales & Support, covering Customer feedback analysis. The licence is MIT.
When your agent uses it
- Tasks that involve Customer feedback analysis
Example prompts
- “/linkfox-amazon-store-customer-feedback”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 依赖 linkfox-amazon-store-auth。
- 通常需 Brand Analytics 或 Selling Partner Insights 等角色；站点以官方为准（常见 US/UK/DE 等）。
- ASIN 一般为子体 ASIN；topics 类接口需 sortBy：MENTIONS 或 STAR_RATING_IMPACT（常各调一次对比）。
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. 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 10 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
developer-docs.amazon.comskill.linkfox.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LINKFOXAGENT_API_KEYLINKFOX_AGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Amazon Store Customer Feedback loads about 1.4k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 273 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 linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 273 words, ~1,403 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-amazon-store-customer-feedback/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- linkfox-amazon-store-customer-feedback
- description
- 亚马逊商品与类目买家反馈洞察。用于按 ASIN 或 browse node 查询评论主题、主题提及量、星级影响、评价趋势、退货主题和退货趋势，帮助分析产品口碑及类目问题。用户提到亚马逊评论分析、评价主题、差评原因、评论趋势、退货原因、退货趋势、ASIN 口碑洞察、类目反馈、MENTIONS、STAR_RATING_IMPACT、Customer Feedback API 时触发。即使未明确提及 API，只要希望从聚合反馈中判断某个亚马逊商品或类目的常见好评、差评或退货问题，也应触发此技能。
Amazon 店铺 Customer Feedback
本 skill 与 linkfox-amazon-store-auth 等同属 Amazon Store 系列：依赖 linkfox-amazon-store-auth 选店（sellerId+region）；直接 POST /spApi/developerProxy 传入 sellerId+region，由服务端解析 token（勿传 amzAccessToken，除非兼容旧调用）。转发 GET。
说明：接口属于 Customer Feedback（买家评论/退货洞察），不是 Orders 订单 API。订单见
linkfox-amazon-store-orders。
调用方式
- API 端点：
POST /spApi/developerProxy（不同操作通过请求体区分；完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/<脚本名>.py '<JSON 参数>' [--inline]（可用脚本见上文脚本一览） - 成本约束：本工具会消耗算力；失败/空结果不得自动换关键词、翻页或连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-amazon-store-customer-feedback-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本） - 加
--inline强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
官方参考索引
| 能力 | 文档 |
|---|---|
| getItemReviewTopics | getItemReviewTopics |
| getItemBrowseNode | getItemBrowseNode |
| getBrowseNodeReviewTopics | getBrowseNodeReviewTopics |
| getItemReviewTrends | getItemReviewTrends |
| getBrowseNodeReviewTrends | getBrowseNodeReviewTrends |
| getBrowseNodeReturnTopics | getBrowseNodeReturnTopics |
| getBrowseNodeReturnTrends | getBrowseNodeReturnTrends |
Prerequisites
- 依赖
linkfox-amazon-store-auth。 - 通常需 Brand Analytics 或 Selling Partner Insights 等角色；站点以官方为准（常见 US/UK/DE 等）。
- ASIN 一般为子体 ASIN；topics 类接口需
sortBy：MENTIONS或STAR_RATING_IMPACT（常各调一次对比）。
Current Capabilities
| 脚本 | path 要点 |
|---|---|
get_item_review_topics.py | .../items/{asin}/reviews/topics |
get_item_browse_node.py | .../items/{asin}/browseNode |
get_item_review_trends.py | .../items/{asin}/reviews/trends |
get_browse_node_review_topics.py | .../browseNodes/{browseNodeId}/reviews/topics |
get_browse_node_review_trends.py | .../browseNodes/{browseNodeId}/reviews/trends |
get_browse_node_return_topics.py | .../browseNodes/{browseNodeId}/returns/topics |
get_browse_node_return_trends.py | .../browseNodes/{browseNodeId}/returns/trends |
前缀均为 customerFeedback/2024-06-01/。共享模块：_spapi_customer_feedback_common.py。
Quick Parameters
- 公共：
sellerId、region、marketplaceId（或marketplaceIds取首项）。 - ASIN 类：
asin；topics 类另需sortBy。 - Browse node 类：
browseNodeId（可先get_item_browse_node取得）。
Scripts
export LINKFOXAGENT_API_KEY="<your-key>"
python scripts/get_item_review_topics.py '{"sellerId":"A1...","region":"NA","asin":"B0...","marketplaceId":"ATVPDKIKX0DER","sortBy":"MENTIONS"}'
python scripts/get_item_browse_node.py '{"sellerId":"A1...","region":"NA","asin":"B0...","marketplaceId":"ATVPDKIKX0DER"}'
python scripts/get_browse_node_review_topics.py '{"sellerId":"A1...","region":"NA","browseNodeId":"123456","marketplaceId":"ATVPDKIKX0DER","sortBy":"STAR_RATING_IMPACT"}'Display Rules
- 先看
developerProxy.errcode/httpStatus，再读各脚本解析字段（如itemReviewTopics）。 - 网关白名单需包含
customerFeedback/2024-06-01/。 - 数据刷新频率以 Amazon 为准（通常按周）。
Amazon SP-API 接口保护与重试指引
同一店铺连续收到 Amazon SP-API 的 400、403、404 或 429 时，网关会返回 450、453、454 或 459 并短暂冷却。这些自定义状态码不是 Amazon 原生状态，也不表示封号；目的是避免持续异常或高频调用扩大店铺风险。
| 状态与 message | 范围 | 触发与冷却 | 处理 |
|---|---|---|---|
450：400，请求异常，请优化您的参数 | 店铺+接口 | 60 秒内超过 3 次：5 分钟；10 分钟内超过 4 次：20 分钟 | 停止原参数重试，检查必填字段、marketplace、ID、日期和请求体 |
453：403，店铺未授权，请先授权 | 店铺全部接口 | 60 秒内超过 2 次：5 分钟；10 分钟内超过 4 次：30 分钟 | 停止该店铺调用，检查授权、权限、店铺归属和区域 |
454：404，资源不存在，请优化您的参数 | 店铺+接口 | 60 秒内超过 3 次：5 分钟；10 分钟内超过 4 次：30 分钟 | 确认资源 ID、所属店铺/站点、资源状态和接口路径 |
459：429限流中，请降低频率 | 店铺+接口 | 首次：15 秒；2 分钟内超过 2 次：30 秒；3 分钟内超过 4 次：2 分钟 | 降低并发、分页和轮询频率并逐级退避 |
- 立即停止自动或并发重试，不得通过换脚本或重复创建任务绕过保护；优先遵循
retryAfter、blockedUntil，没有时按表中时长说明。 - 450/453/454 必须先修正参数、授权或资源标识，冷却后最多谨慎重试一次；再次触发则停止调用。453 期间停止该店铺全部 SP-API。
- 保留已有
reportId、feedId等任务 ID；写操作结果不确定时先查询状态，不直接重放。 - 向用户先说明店铺保护，再给原因、处理和等待时间。可回复：“为保护您的亚马逊店铺安全，检测到 Amazon SP-API 连续返回{原因}，当前已进入短暂保护。请先{处理动作}，预计{等待时间}后再试；这不代表封号，也不是套餐或算力限制。”不要只说“LinkFox 限流”或“服务器繁忙”。
算力消耗规则
不消耗算力。
Feedback： skillName：linkfox-amazon-store-customer-feedback。
更多跨境 skill：LinkFox Skills
© linkfox-ai, 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 12 other files (scripts, references) in skills/linkfox-amazon-store-customer-feedback of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/_spapi_customer_feedback_common.py
- scripts/check_auth_dependency.py
- scripts/get_browse_node_return_topics.py
- scripts/get_browse_node_return_trends.py
- scripts/get_browse_node_review_topics.py
- scripts/get_browse_node_review_trends.py
- scripts/get_item_browse_node.py
- scripts/get_item_review_topics.py
- scripts/get_item_review_trends.py
- scripts/onboarding.py
Open the folder on GitHubat commit 38fef04
Compare with similar skills
Linkfox Amazon Store Customer Feedback 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 |
|---|---|---|---|---|---|---|
| Linkfox Amazon Store Customer Feedback this skilllinkfox-ai/linkfox-skills | 107 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Review Analysisliangdabiao/amazon-sorftime-research-MCP-skill | 959 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Bggg Data Amazonbinggandata/bggg-skills | 605 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Zsxqunnoo/zsxq-skill | 304 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Roadtrip NavigatorWaybox-AI/roadtrip-skill | 126 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Always Compareai-analyst-lab/ai-analyst | 304 | — | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Linkfox Amazon Store Customer Feedback
What does Linkfox Amazon Store Customer Feedback do?
亚马逊商品与类目买家反馈洞察。用于按 ASIN 或 browse node 查询评论主题、主题提及量、星级影响、评价趋势、退货主题和退货趋势，帮助分析产品口碑及类目问题。用户提到亚马逊评论分析、评价主题、差评原因、评论趋势、退货原因、退货趋势、ASIN 口碑洞察、类目反馈、MENTIONS、STARRATINGIMPACT、Customer Feedback API 时触发。即使未明确提及…. Linkfox Amazon Store Customer Feedback is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Amazon Store Customer Feedback?
Linkfox Amazon Store Customer Feedback fits situations like: tasks that involve Customer feedback analysis.
How do I install Linkfox Amazon Store Customer Feedback in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a claude-code`. Or copy the skill folder (skills/linkfox-amazon-store-customer-feedback in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-amazon-store-customer-feedback in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Amazon Store Customer Feedback in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a codex`. Or copy the skill folder (skills/linkfox-amazon-store-customer-feedback in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-amazon-store-customer-feedback in your project. Codex loads it when a task matches its description.
Can I use Linkfox Amazon Store Customer Feedback 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 linkfox-ai/linkfox-skills --skill linkfox-amazon-store-customer-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-amazon-store-customer-feedback, .gemini/skills/linkfox-amazon-store-customer-feedback, .github/skills/linkfox-amazon-store-customer-feedback and .opencode/skills/linkfox-amazon-store-customer-feedback in your project.
What does Linkfox Amazon Store Customer Feedback need to run?
Going by SKILL.md and its folder, Linkfox Amazon Store Customer Feedback needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOXAGENT_API_KEY and LINKFOX_AGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Amazon Store Customer Feedback access the network?
SKILL.md names 2 domains. As links in the text: developer-docs.amazon.com and skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox Amazon Store Customer Feedback 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 Linkfox Amazon Store Customer Feedback use?
Linkfox Amazon Store Customer Feedback 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 Linkfox Amazon Store Customer Feedback use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Amazon Store Customer Feedback?
Skills that share tags, products or a category with Linkfox Amazon Store Customer Feedback: Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars), Bggg Data Amazon (binggandata/bggg-skills, 605 stars), Zsxq (unnoo/zsxq-skill, 304 stars) and Roadtrip Navigator (Waybox-AI/roadtrip-skill, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Amazon Store Customer Feedback?
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.