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.
npx skills add claude-office-skills/claude-office-plugin --skill sensortowergit clone --depth 1 https://github.com/claude-office-skills/claude-office-pluginWrote 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.
[](https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/sensortower)<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/sensortower"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/sensortower/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.
<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/sensortower"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/sensortower.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.00709 |
| Opus 5 | $0.00013 | $0.00354 |
| Sonnet 5 | $0.00005 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
sensortower 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 12d ago.
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.
What it actually says
SensorTower 移动应用数据连接器
通过 dataBridgePull() 获取移动应用下载量、收入、活跃用户等数据。
获取应用下载与收入
var resp = dataBridgePull("sensortower", "app_sales", {
os: "ios",
app_id: "553834731",
countries: "US,GB",
start_date: "2024-01-01",
end_date: "2024-12-31",
date_granularity: "monthly"
});
if (!resp || !resp.ok) return "获取数据失败: " + (resp ? resp.error : "网络错误");
var records = resp.data.records;
// iOS: [{date, country, appId, iphoneDownloads, ipadDownloads, totalDownloads, iphoneRevenue, ipadRevenue, totalRevenue}, ...]
// Android: [{date, country, appId, downloads, revenue}, ...]
获取活跃用户 (DAU/MAU)
var resp = dataBridgePull("sensortower", "app_active_users", {
os: "ios",
app_id: "553834731",
countries: "US",
start_date: "2024-01-01",
end_date: "2024-12-31",
date_granularity: "monthly",
metric: "dau"
});
var records = resp.data.records; // [{date, country, appId, dau}, ...]
参数说明
| 参数 | 说明 | 示例 |
|---|---|---|
| os | 平台 | "ios" 或 "android" |
| app_id | 应用 ID | iOS 数字 ID: "553834731", Android 包名: "com.king.candycrushsaga" |
| countries | 国家代码 | "US", "US,GB,JP", "WW"(全球) |
| start_date | 开始日期 | "2024-01-01" |
| end_date | 结束日期 | "2024-12-31" |
| date_granularity | 时间粒度 | "daily" / "weekly" / "monthly" / "quarterly" |
| metric | 活跃用户指标 | "dau" / "mau" |
重要规则
- 收入单位：返回值已转为美元（API 原始返回美分，handler 已做 ÷100 处理）
- 日期分段：API 有超时限制，handler 自动按粒度分段请求，无需手动处理
- iOS 区分设备：iOS 数据包含 iPhone 和 iPad 分别的下载/收入，以及合计
- 检查
resp.ok：必须检查返回状态
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.
- 12d ago First seen · 65 lines · 26 tokens per session scan A 5b1a3896021a
sensortower is a skill published in the GitHub repository claude-office-skills/claude-office-plugin (9 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 709 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
orca-emulator-android
Android device and emulator control from inside Orca over adb, with the live device view in Orca's emulator pane. Use when driving an adb-connected emulator or phone on Windows, Linux, or macOS: booting AVDs, taps, swipes, typing, hardware buttons, rotation, app install and launch, runtime permissions, the…
android-tombstone-symbolication
Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app…
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
winapp-maui
Package and sign .NET MAUI Windows apps with winapp, resolving the resizetizer manifest dependency. Use when packaging or signing a .NET MAUI Windows app, building a MAUI MSIX or signed unpackaged build in CI, or fixing 'manifest contains unresolved placeholders ($placeholder$)' errors from winapp package.
react-native-ease-refactor
Scan for Animated/Reanimated code and migrate to EaseView.
apple-search-ads
When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search tab ads", "Today tab ads", "CPT"…