Agent skill

Linkfox Amazon Ads Sp Insights Report

by linkfox-ai in linkfox-ai/linkfox-skills

亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV…

MITAuto-check passedDocuments & Office

Install Linkfox Amazon Ads Sp Insights Report

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-ads-sp-insights-report -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-ads-sp-insights-report --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-ads-sp-insights-report .claude/skills/linkfox-amazon-ads-sp-insights-report && rm -rf skills-src

Use ~/.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/

Facts

Skill name
linkfox-amazon-ads-sp-insights-report
GitHub stars
107
Token cost
~2.3k tokens
SKILL.md length
700 words
Files
10 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV…

  • Works in 3 steps: SP Audience 报告 → SP Search Term Impression Share/Rank 报告 → 轮询已有 reportId(救回上次未完成报告)
  • Tasks that involve CSV and tabular files
  • SKILL.md covers 调用方式, 解决认证和算力问题, Core Concepts and 可用脚本, plus 10 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Amazon Ads Sp Insights Report is an agent skill from linkfox-ai/linkfox-skills. 亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV 下载和落盘。只有用户明确要求 SP 受众报告、SP 搜索词展示份额或展示份额排名时触发;普通 SP 搜索词表现报告、SB/SD/DSP 报告不得触发。本技能依赖 linkfox-amazon-ads-auth。

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `references/sp-audience-reporting-v1.md`).

It sits in Documents & Office, covering CSV and tabular files. The licence is MIT.

When your agent uses it

  • Tasks that involve CSV and tabular files

Example prompts

  • “/linkfox-amazon-ads-sp-insights-report”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. SP Audience 报告
  2. SP Search Term Impression Share/Rank 报告
  3. 轮询已有 reportId(救回上次未完成报告)

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 5 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):

    • skill.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:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Amazon Ads Sp Insights Report loads about 2.3k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 700 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.2k

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). 700 words, ~2,297 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-amazon-ads-sp-insights-report/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
linkfox-amazon-ads-sp-insights-report
description
亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV 下载和落盘。只有用户明确要求 SP 受众报告、SP 搜索词展示份额或展示份额排名时触发;普通 SP 搜索词表现报告、SB/SD/DSP 报告不得触发。本技能依赖 linkfox-amazon-ads-auth。

Amazon Ads SP 洞察报告获取

两类 Sponsored Products 专项报告一站式获取:脚本经 developerProxy 传 profileId(服务端解析 token),自动完成 advertiser account 映射、报告创建、等待(通常约 2–10 分钟)、多分片 CSV 下载和落盘。 脚本使用 Amazon Reporting API v1 beta 允许的固定字段组合,不接受调用方自由拼接字段。Audience 与 Search Term Impression Share/Rank 的完整字段依据分别见 references/sp-audience-reporting-v1.md 和 references/sp-search-impression-share-v1.md。

依赖 linkfox-amazon-ads-auth(脚本启动自动检查;未安装时 exit 42,stderr 打 DEPENDENCY_MISSING)。

⚠️ 多账号场景:调用前必须解析好 profileId

用户经常只说自然语言(“美国站”“日本站”“我的店铺”),本 Skill 的所有入口都必须拿到数字 profileId 才能调用。按下列顺序处理,不要跳过:

  1. 先调 linkfox-amazon-ads-auth 的 authorized_stores.py,拉出用户已授权的账号 × 站点清单。
  2. 根据用户提到的站点匹配 countryCode:
    • 只有 1 个候选 → 静默使用对应 profileId;不要向用户播报该数字。
    • ≥ 2 个候选 → 必须用 accountName 向用户确认,禁止默认选择第一个。
    • 0 个候选 → 告知用户该站点未授权,引导使用 linkfox-amazon-ads-auth 完成授权。
  3. 严禁要求用户直接提供 profileId 数字。
  4. 严禁在账号有歧义时自行选择默认账号。

完整决策表见 linkfox-amazon-ads-auth SKILL.md 的多账号场景说明。

调用方式

  • API 端点:POST /amazonAds/developerProxy(脚本内部按顺序调用三个 Ads v1 路径;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] [--no-cache](可用脚本见下文)
  • 成本约束:本工具不消耗算力;同一会话、同一报告类型和同一参数组合默认只调用一次,成功结果缓存 24 小时。失败、未完成或空报告不得自动换日期、切换账号或连续试探。

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-ads-sp-insights-report-<timestamp>.json(<cwd> 为脚本执行时的工作目录;<session> 取自环境变量 SESSION_ID;禁止写入 /tmp,当前目录不可写则报错)
  • 报告 CSV 分片写入同一会话的 data/;最终响应不暴露 Amazon 预签名 URL
  • 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
  • 加 --inline 强制全量打印到 stdout(同样落盘);加 --no-cache 强制重新获取

读数据建议:先看摘要和 preview;响应 JSON 用 jq / ConvertFrom-Json 按需抽取,完整报告行从 dataFiles[].path 指向的文件用 CSV 工具或 Import-Csv 读取,避免整份报告进入上下文。

解决认证和算力问题

发生以下情况时,按 references/onboarding.md 引导解决:

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、余额、套餐或额度不足

Core Concepts

  • 覆盖范围:只覆盖 Sponsored Products Audience 和 Search Term Impression Share/Rank 两类 Reporting API v1 beta 报告
  • 一站式:自动完成 advertiser account 映射 → 创建报告 → 等待生成 → 下载全部 CSV/gzip 分片 → 返回预览与文件路径
  • 双入口、共享流程:两个公开入口分别固定报告类型,共用 reporting_v1_workflow.py;不要直接执行共享模块
  • 固定字段:Agent 不选择 fields、groupBy 或自由过滤条件;脚本按对应 reference 构造 Amazon 官方兼容字段组合
  • 账号标识分工:profileId 用于后端选择当前用户授权;advertiserAccountId 默认由脚本查询并映射
  • v1 与 v3 边界:普通曝光、点击、花费、转化类 SP 搜索词报告使用 linkfox-amazon-ads-report 的 spSearchTerm,不是本 Skill
  • Beta 约束:Amazon 当前将 Reporting API v1 标为 open beta;账号开放范围、字段和限流可能变化

可用脚本

脚本职责
get_sp_audience_report.py一站式获取 SP Audience 受众细分表现;支持 ACCOUNT / CAMPAIGN / AD_GROUP 粒度
get_sp_search_impression_share.py一站式获取 SP 搜索词展示份额与展示份额排名
check_auth_dependency.py检测 linkfox-amazon-ads-auth 是否安装

完整参数、内部调用链和响应结构见 references/api.md。选择 Audience 时读 references/sp-audience-reporting-v1.md;选择 Search Impression Share 时读 references/sp-search-impression-share-v1.md。

Agent 调用流程

Agent 收到“SP 受众”或“SP 搜索词展示份额”需求时,必须按下列顺序:

  1. 定报告类型:Audience 使用 get_sp_audience_report.py;展示份额/排名使用 get_sp_search_impression_share.py。一次只调用一个入口。
  2. 查 reference:读取对应报告 reference,确认字段含义、限制和展示重点。
  3. 解析账号:通过 Ads Auth Skill 按站点得到唯一 profileId 和 region;多候选时先向用户确认账号。
  4. 确认日期与粒度:创建模式必须有 startDate / endDate。未指定 timeUnit 时使用 DAILY;Audience 未指定 detailLevel 时使用 ACCOUNT。
  5. 告知等待时间并调用:说明 Amazon 通常需要约 2–10 分钟,然后运行选定入口。脚本会自动映射账号、创建、轮询和下载,不要手工拆成三次业务调用。
  6. 处理结果:success=true 时展示报告类型、日期、总行数、预览和全部文件路径;totalRows=0 是合法空报告。
  7. 处理未完成:status=STILL_PROCESSING 不是失败。先向用户确认是否继续,再使用 resumeHint.params 和 --no-cache 轮询同一 reportId,禁止创建重复报告。

默认条件(用户未指定时使用)

条件默认规则
报告类型根据用户意图二选一;不同时拉取两类报告
startDate / endDate不擅自猜测;用户未给日期时先询问
timeUnitDAILY
Audience detailLevelACCOUNT
advertiserAccountId不传,由脚本根据 profileId 自动映射
pollInterval60 秒
maxAttempts10;形成约 10 分钟客户端等待窗口
字段与过滤使用脚本固定的官方兼容组合,不接受自定义

请求示例

1. SP Audience 报告
bash
python scripts/get_sp_audience_report.py '{
  "profileId": 1234567890, "region": "NA",
  "startDate": "2026-08-01", "endDate": "2026-08-07",
  "timeUnit": "DAILY", "detailLevel": "ACCOUNT"
}'
2. SP Search Term Impression Share/Rank 报告
bash
python scripts/get_sp_search_impression_share.py '{
  "profileId": 1234567890, "region": "NA",
  "startDate": "2026-08-01", "endDate": "2026-08-07",
  "timeUnit": "DAILY"
}'
3. 轮询已有 reportId(救回上次未完成报告)

根据原报告类型继续使用原入口;仅传 profileId、region、reportId 和轮询参数:

bash
python scripts/get_sp_search_impression_share.py '{
  "profileId": 1234567890, "region": "NA",
  "reportId": "REPORT_ID",
  "pollInterval": 60, "maxAttempts": 20
}' --no-cache

响应格式

成功:

json
{
  "success": true,
  "status": "COMPLETED",
  "reportId": "report-id",
  "reportKind": "audience",
  "totalRows": 42,
  "dataFiles": [{"part": 1, "path": "C:/.../part-01.csv", "rowCount": 42}],
  "preview": [{"audienceSegment.name": "In-market ..."}],
  "pollAttempts": 2,
  "elapsedSeconds": 60.2
}
  • 失败:success=false,并包含 error、脱敏后的 details 和 _cacheable=false。
  • 未完成:status=STILL_PROCESSING,并包含原 reportId、resumeHint.mode=poll-only、resumeHint.params 和 _cacheable=false。

调用原则

  • 用户明确指定报告类型时只调用该类型,不擅自替换或同时生成另一份报告
  • Search Impression Share 不得追加 campaign、adGroup、target、keyword、groupBy 或自定义 fields
  • 参数中不得出现 access token、refresh token、LWA 密钥或自定义 Amazon 请求头;脚本会在联网前递归拒绝
  • 报告失败时如实展示 Amazon 错误,不盲目换参数重建
  • 报告仍在生成时复用同一 reportId;禁止因为等待较久创建重复报告
  • 成功后展示 CSV 文件路径和必要预览,不展示完整 Token、内部授权记录或 Amazon 预签名 URL
  • 客观呈现报告数据;除非用户要求,不主动扩展成商业决策建议
Show full SKILL.md (314 more words)Show less

常见错误

状态含义建议
Missing or invalid parameter缺少 profile、region 或创建日期补齐对应 reference 要求的参数后再调
Unsupported parameter(s)传了本报告不支持的字段或维度删除不支持参数;不要绕过脚本固定字段组合
HTTP 401LinkFox Key 或 Amazon Ads 授权失效LinkFox 401 走 onboarding;上游 401 使用 Ads Auth 刷新授权
HTTP 403当前 Ads 应用或账号未开放 Reporting API v1检查 Ads API 应用与授权账号权限;不得用 v3 数据伪造结果
HTTP 429Amazon Ads 上游限流保持每分钟级轮询,不密集重试
status=FAILEDAmazon 报告生成失败透传失败详情,不自动更换参数重建
status=STILL_PROCESSING客户端等待窗口结束,但报告仍在生成不是失败;向用户确认后用 resumeHint.params 继续原 reportId
totalRows=0报告成功但当期无数据合法空结果,不自动扩大日期或切换账号
exit 42依赖 Skill 未安装先安装或加载 linkfox-amazon-ads-auth

日期与数据

  • 创建报告时 startDate / endDate 必须使用 YYYY-MM-DD,且 startDate <= endDate
  • endDate 不得晚于今天;使用当天可能得到尚未完整的数据,优先选择昨天或更早日期
  • DAILY 返回 date.value;SUMMARY 返回 dateRange.value
  • Audience 重点展示受众名称/类型/来源、国家、曝光、点击、花费、购买、销售额和 ROAS,并保留币种字段
  • Search Impression Share 重点展示 searchTerm.value、metric.impressionShare 和 metric.impressionShareRank
  • 完成报告可能包含多个分片;必须保留并展示全部 dataFiles

Not Applicable

  • 普通 SP 搜索词表现报告(曝光、点击、花费、销售、转化)→ linkfox-amazon-ads-report 的 spSearchTerm
  • SP / SB / SD 常规 v3 报告 → linkfox-amazon-ads-report
  • 广告活动、广告组、关键词、投放和预算实体管理 → linkfox-amazon-ads-manager
  • 授权、账号选择与 token 刷新 → linkfox-amazon-ads-auth
  • Sponsored Brands、Sponsored Display、Sponsored Television、Amazon DSP、Brand Analytics、Retail Analytics → 不在本 Skill

Amazon Ads API 接口保护与重试指引

同一广告账号/profile 连续收到 Amazon Ads 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广告账号风险。

状态与 message范围触发与冷却处理
450:400,请求异常,请优化您的参数广告账号/profile+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 profileId、region、实体/报告 ID、日期和请求体
453:403,店铺未授权,请先授权广告账号/profile 全部接口60 秒内超过 2 次:5 分钟;10 分钟内超过 4 次:30 分钟停止该广告账号调用,检查 Ads 授权、应用权限、profile 归属和区域
454:404,资源不存在,请优化您的参数广告账号/profile+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 profile/区域、资源状态和接口路径
459:429限流中,请降低频率广告账号/profile+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 期间停止该广告账号/profile 全部 Ads API。
  • 保留已有 reportId 等任务 ID;写操作结果不确定时先查询状态,不直接重放。
  • 向用户先说明广告账号保护,再给原因、处理和等待时间。可回复:“为保护您的亚马逊广告账号安全,检测到 Amazon Ads 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,也不是套餐或积分限制。”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:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


For more high-quality, professional cross-border e-commerce skills, visit 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 9 other files (scripts, references) in skills/linkfox-amazon-ads-sp-insights-report of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • references/sp-audience-reporting-v1.md
  • references/sp-search-impression-share-v1.md
  • scripts/check_auth_dependency.py
  • scripts/get_sp_audience_report.py
  • scripts/get_sp_search_impression_share.py
  • scripts/onboarding.py
  • scripts/reporting_v1_workflow.py

Open the folder on GitHubat commit 38fef04

Compare with similar skills

Linkfox Amazon Ads Sp Insights Report 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.

Linkfox Amazon Ads Sp Insights Report compared with similar skills
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Linkfox Amazon Ads Sp Insights Report this skilllinkfox-ai/linkfox-skills107—~2.3kAutomated safety check: PassMIT
Data Table Managern8n-io/n8n207k—~2.3kAutomated safety check: PassCustom licence
Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences2742 repos~2.7kAutomated safety check: PassApache-2.0
Abuse Hunternexu-io/harness-engineering-guide664—~1.9kAutomated safety check: PassMIT
Intelligence Requirements BuilderTracecatHQ/tracecat3.8k—~6kAutomated safety check: PassMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT

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Questions about Linkfox Amazon Ads Sp Insights Report

What does Linkfox Amazon Ads Sp Insights Report do?

亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV…. Linkfox Amazon Ads Sp Insights Report is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Amazon Ads Sp Insights Report?

Linkfox Amazon Ads Sp Insights Report fits situations like: tasks that involve CSV and tabular files.

How do I install Linkfox Amazon Ads Sp Insights Report in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-ads-sp-insights-report -a claude-code`. Or copy the skill folder (skills/linkfox-amazon-ads-sp-insights-report in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-amazon-ads-sp-insights-report in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Amazon Ads Sp Insights Report in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-ads-sp-insights-report -a codex`. Or copy the skill folder (skills/linkfox-amazon-ads-sp-insights-report in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-amazon-ads-sp-insights-report in your project. Codex loads it when a task matches its description.

Can I use Linkfox Amazon Ads Sp Insights Report 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-ads-sp-insights-report -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-ads-sp-insights-report, .gemini/skills/linkfox-amazon-ads-sp-insights-report, .github/skills/linkfox-amazon-ads-sp-insights-report and .opencode/skills/linkfox-amazon-ads-sp-insights-report in your project.

What does Linkfox Amazon Ads Sp Insights Report need to run?

Going by SKILL.md and its folder, Linkfox Amazon Ads Sp Insights Report needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.

Does Linkfox Amazon Ads Sp Insights Report access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Amazon Ads Sp Insights Report 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 Ads Sp Insights Report use?

Linkfox Amazon Ads Sp Insights Report 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 Ads Sp Insights Report use?

About 2.3k tokens (SKILL.md is roughly 9.2k 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 4.9k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Amazon Ads Sp Insights Report?

Skills that share tags, products or a category with Linkfox Amazon Ads Sp Insights Report: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 664 stars) and Intelligence Requirements Builder (TracecatHQ/tracecat, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Amazon Ads Sp Insights Report?

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.