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linkfox-amazon-ads-report

linkfox-amazon-ads-report is a skill for Claude Code, Codex from linkfox-ai/linkfox-skills. It costs 194 tokens per session (4,179 once invoked), scanned A, original, MIT.

A tool for retrieving Amazon Ads reports for Sponsored Products, Sponsored Brands, and Sponsored Display. It creates each report, waits for Amazon to generate it, downloads it, and unpacks the result into readable data.

In plain words
What is it for?
Use it for campaign, keyword, search-term, product-targeting, ad-group, traffic-anomaly, and other supported SP, SB, or SD reports.
Why use it?
It removes the manual work of requesting and collecting reports while requiring the report's supported fields and grouping to be checked first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

not rated 101repo +6 21d ago A scan Socket: passSnyk: passSkillSpector: pass 194 tokens original MIT

Good fit Use it for campaign, keyword, search-term, product-targeting, ad-group, traffic-anomaly, and other supported SP, SB, or SD reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linkfox-ai/linkfox-skills/linkfox-amazon-ads-report
View source ↗ linkfox-ai/linkfox-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-ads-report
Clone the repo
git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkfox-amazon-ads-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-amazon-ads-report/github.svg)](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-amazon-ads-report)
Your own site
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-amazon-ads-report"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-amazon-ads-report/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkfox-amazon-ads-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-amazon-ads-report"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-amazon-ads-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 194 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,179 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 May 2026
  • Snyk pass 15 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00194 $0.04179
Opus 5 $0.00097 $0.02090
Sonnet 5 $0.00039 $0.00836
Haiku 4.5 $0.00019 $0.00418

Measured 11d ago against content hash 5d58560baabd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

linkfox-amazon-ads-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check_auth_dependency.py, scripts/get_report.py, scripts/onboarding.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/linkfox-amazon-ads-report/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Ads 报告获取

报告一站式获取：脚本经 developerProxy 传 profileId（服务端解析 token），自动完成报告的创建、等待（约 2–10 分钟）、下载和解压，直接返回可读的结构化数据。 脚本本身不做"该选哪些列 / 该怎么分组"的业务判断，这些由 agent 先查 references/report-types/ 下对应的 .md 文件，再显式传给脚本。

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 的所有脚本都必须拿到数字 profileId 才能调。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（映射到 countryCode，如 美国→US）匹配候选 profile：
    • 只有 1 个候选 → 静默取对应 profileId，继续调用；不要把 profileId 数字播报给用户。
    • ≥ 2 个候选（同站点下多个授权账号） → 必须向用户澄清，用 accountName 问："你在美国站授权了 A 和 B 两个账号，这次用哪个？"
    • 0 个候选 → 告知用户该站点未授权，引导去 linkfox-amazon-ads-auth 做授权。
  3. 严禁让用户直接报 profileId 数字。
  4. 严禁在歧义下"挑第一个"或"选默认"绕过澄清。

完整决策表见 linkfox-amazon-ads-auth SKILL.md 的 Usage Scenarios 第 4 节。

调用方式

  • API 端点：POST /amazonAds/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：本工具会消耗积分；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/<skill-name>-<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。

解决认证和积分问题

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
  • 响应提示积分或余额不足：消息含"积分余额不足/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。

Core Concepts

  • 覆盖：SP / SB / SD 全部报告类型（以 references/report-types/ 下存在的 .md 为准；ST / DSP 暂未覆盖）
  • 一站式：脚本内部自动完成报告创建 → 等待生成（约 2–10 分钟）→ 下载 → 解压，调用方只需等最终结果
  • 单脚本：get_report.py（覆盖 SP / SB 全部 adProduct）
  • 元数据 vs. 运行参数：
    • 每个报告类型的可用字段（timeUnit / groupBy / filters / 全部列名）集中在 references/report-types/<adProduct-dir>/<reportTypeId>.md
    • 脚本运行参数（等待间隔、访问链接时效等）见本文件和 references/api.md

Read the full file on GitHub · 241 lines

Files

What ships with it

31 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 241 lines · 194 tokens per session scan A 5d58560baabd

Subscribe to this mod's changes

linkfox-amazon-ads-report is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 21d ago), licensed MIT. It adds 194 tokens to every session and 4,179 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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