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Agent Skill · 研究检索

revenue-monitor(收入监控)

revenue-monitor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

revenue-monitor 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 23,842。

总安装 4,167周安装 179GitHub Stars 公开资料未说明下载 1,461核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:revenue-monitor(收入监控)
来源仓库:https://github.com/tenlifejosh/revenue-monitor
安装命令:
openclaw skills install revenue-monitor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install revenue-monitor

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

跟踪 Gumroad、KDP 和 Etsy 的每日销售额和收入;发送峰值、下降警报,并生成每日、每周和每月的收入摘要。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install revenue-monitor;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

revenue-monitor 怎么安装?

在终端执行 openclaw skills install revenue-monitor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

revenue-monitor 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

revenue-monitor 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

revenue-monitor 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

revenue-monitor 用的人多吗?

公开数据是累计安装 4,167 次,近一周安装 179 次,下载 1,461 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

revenue-monitor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
revenue-monitor

收入监控 · 本页

4,167—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

SKILL: Revenue Monitor

Purpose

Track daily revenue across Gumroad, KDP, and Etsy. Alert on anomalies (sales spikes, drops, or zero-revenue days). Generate daily and weekly summaries. Make sure no sale goes unnoticed and no revenue problem goes undetected.


Configuration (Set Once)

Check skills/revenue-monitor/config.json. If not present, ask:

  1. Gumroad: Do you have a Gumroad API access token? (Settings → Advanced → API)
  2. KDP: Do you have KDP sales tracking set up? (Manual CSV export or AgentReach session)
  3. Etsy: Do you have an Etsy API key? (developer.etsy.com)
  4. Telegram alert chat ID: For revenue alerts (leave blank to disable)
  5. Revenue alert thresholds:

- Alert if daily sales exceed $[X] (spike alert) - Alert if no sales for [X] consecutive days (drop alert) - Weekly revenue goal: $[X]

  1. Check frequency: Daily at [time] / On demand only

Save to skills/revenue-monitor/config.json.


Daily Revenue Check

Run every day (or when triggered). Pull data from all configured platforms.

Gumroad Check

# Gumroad REST API v2
# GET https://api.gumroad.com/v2/sales
# Headers: Authorization: Bearer {GUMROAD_ACCESS_TOKEN}
# Params: after={yesterday_date}, before={today_date}

import requests
from datetime import date, timedelta

yesterday = (date.today() - timedelta(days=1)).isoformat()
today = date.today().isoformat()

response = requests.get(
    "https://api.gumroad.com/v2/sales",
    headers={"Authorization": f"Bearer {GUMROAD_TOKEN}"},
    params={"after": yesterday, "before": today}
)

sales = response.json().get("sales", [])

Extract per sale:

  • product_name
  • price (in cents — divide by 100)
  • created_at
  • variants_and_quantity
  • referrer (where the sale came from)

Compile into:

GUMROAD — [Date]
Sales: [X]
Revenue: $[X.XX]
Products sold:
  - [Product A]: [X] units @ $[X]
  - [Product B]: [X] units @ $[X]
Top referrer: [URL or "direct"]

KDP Check (via AgentReach or Manual)

If AgentReach is configured with a KDP session:

agentreach kdp sales --days 1

If not, check ~/.agentreach/kdp-sales-cache/ for last exported data.

If no automation: prompt the user to export KDP sales report and paste/share it.

KDP data to extract:

  • Units ordered per title
  • Estimated royalties
  • KENP (Kindle Unlimited pages read)
KDP — [Date]
Units ordered: [X]
Estimated royalties: $[X.XX]
KENP pages: [X] (~$[X.XX])
Top title: [Title name]

Etsy Check (if configured)

# Etsy API v3
# GET https://openapi.etsy.com/v3/application/shops/{shop_id}/receipts
# Headers: x-api-key: {ETSY_API_KEY}

response = requests.get(
    f"https://openapi.etsy.com/v3/application/shops/{ETSY_SHOP_ID}/receipts",
    headers={"x-api-key": ETSY_API_KEY},
    params={"min_created": yesterday_timestamp, "max_created": today_timestamp}
)

Compile:

ETSY — [Date]
Orders: [X]
Revenue: $[X.XX] (before Etsy fees)
Net revenue: ~$[X.XX] (after ~6.5% transaction fee)
Top product: [Product name]

Daily Revenue Summary Format

📊 REVENUE SUMMARY — [Day, Date]

GUMROAD
  Sales: [X] | Revenue: $[X.XX]
  [Product breakdown]

KDP
  Units: [X] | Royalties: ~$[X.XX]
  [Title breakdown]

ETSY
  Orders: [X] | Revenue: $[X.XX]
  [Product breakdown]

─────────────────────────
TODAY TOTAL: $[X.XX]
MTD TOTAL: $[X.XX]
MTD GOAL: $[X.XX] ([X]% to goal)
─────────────────────────

YESTERDAY: $[X.XX] | CHANGE: [+/- X%]
7-DAY AVG: $[X.XX]/day
30-DAY TOTAL: $[X.XX]

Anomaly Detection & Alerts

Spike Alert (Positive)

Trigger: Today's revenue exceeds 3x the 7-day average

🚀 REVENUE SPIKE ALERT — [Date]

Today: $[X.XX] (vs 7-day avg of $[X.XX])
That's [X]x your normal daily revenue!

Top source: [Platform] — [Product]
Possible cause: [Check if you ran any promotion, got a feature, etc.]

Action: Consider reposting what worked today. Check referrer data.

Drop Alert (Concern)

Trigger: Zero sales for N consecutive days (configured threshold, default 3)

⚠️ REVENUE ALERT — [X] Days No Sales

Last sale: [Date] — [Product] on [Platform]
Days since: [X]

Possible causes to investigate:
• Product listings active? (Check all platforms)
• Any SEO/search ranking drops?
• Seasonal dip?
• Payment method issues?

Recommended action: Run a quick promotion or share a product link.

Weekly Drop Alert

Trigger: This week's revenue is more than 30% below last week

📉 WEEKLY REVENUE DOWN [X]%

This week: $[X.XX]
Last week: $[X.XX]
Difference: -$[X.XX]

[Breakdown by platform showing where the drop happened]

Investigate: [Platform where the biggest drop occurred]

Weekly Revenue Report

Every Sunday (or when triggered: "weekly revenue report"):

📈 WEEKLY REVENUE REPORT — Week of [Date]

TOTAL THIS WEEK: $[X.XX]
vs Last Week: $[X.XX] ([+/-X%])
vs Goal ($[X]): [X]% achieved

PLATFORM BREAKDOWN:
  Gumroad: $[X.XX] ([X] sales)
  KDP:     $[X.XX] ([X] units + KENP)
  Etsy:    $[X.XX] ([X] orders)

TOP PERFORMERS:
  1. [Product] — $[X.XX] ([X] units)
  2. [Product] — $[X.XX] ([X] units)
  3. [Product] — $[X.XX] ([X] units)

NEW PRODUCTS LAUNCHED THIS WEEK: [X]

BEST DAY: [Day] — $[X.XX]
WORST DAY: [Day] — $[X.XX]

MONTH TO DATE: $[X.XX] / $[Goal] goal ([X]%)

INSIGHTS:
• [One observation about what worked]
• [One observation about what didn't]
• [One recommendation for next week]

Revenue Log Format

Log all data to systems/feedback/revenue-data.json:

{
  "log": [
    {
      "date": "2026-03-18",
      "gumroad": {
        "sales_count": 0,
        "revenue": 0.00,
        "products": []
      },
      "kdp": {
        "units": 0,
        "royalties": 0.00,
        "kenp_pages": 0
      },
      "etsy": {
        "orders": 0,
        "revenue": 0.00
      },
      "total": 0.00
    }
  ]
}

Month-End Report

On the last day of each month:

📅 MONTHLY REVENUE REPORT — [Month Year]

TOTAL REVENUE: $[X.XX]
vs Prior Month: $[X.XX] ([+/-X%])

BREAKDOWN:
  Gumroad: $[X.XX] ([X]% of total)
  KDP:     $[X.XX] ([X]% of total)
  Etsy:    $[X.XX] ([X]% of total)

PRODUCTS (ranked by revenue):
  1. [Product] — $[X.XX]
  2. [Product] — $[X.XX]
  ...

DAYS WITH SALES: [X] / [X] days
BEST DAY: [Date] — $[X.XX]
AVERAGE DAY: $[X.XX]

GOAL STATUS: $[X.XX] / $[Goal] = [X]%
NEXT MONTH GOAL: $[X.XX]

ACTION ITEMS FOR NEXT MONTH:
• [Based on data — what to double down on]
• [What underperformed and why]
• [New products or promotions to try]

Telegram Alert Format

When sending to Telegram, keep it short:

Daily (sent each morning):

💰 Yesterday: $X.XX
📦 Gumroad: X sales | KDP: X units | Etsy: X orders
📈 MTD: $X.XX

Spike alert: Send full spike alert message (see above) Drop alert: Send full drop alert message (see above)


Commands / Triggers

  • "Revenue report" → Today's daily summary
  • "Weekly report" → Full weekly breakdown
  • "Monthly report" → Full month summary
  • "How are sales?" → Quick daily summary
  • "Gumroad sales" → Gumroad only
  • "KDP sales" → KDP only
  • "How much this month?" → MTD total
  • "Revenue last 30 days" → 30-day summary
  • "Set revenue goal $X" → Update config
  • "Any alerts?" → Check for anomalies now

平台分布

OpenClaw

77.77%
按下载量换算1,136

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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