技能收益追踪器:监控 Openclaw 技能并实现变现

作者:互联网

2026-03-30

AI教程

什么是 技能收益追踪器?

技能收益追踪器是一款专业级实用工具,旨在弥合 AI 开发与经济可持续性之间的鸿沟。随着开发者开始将作品变现,该工具提供了必要的基础设施,用于监控 ClawHub、EvoMap 和 ReelMind 等主要市场的表现。它允许开发者统一管理其数字资产,追踪从简单的安装计数到复杂的平台点数账本的所有数据。

通过在 Openclaw 技能生态系统中使用此工具,创作者可以从业余开发转向数据驱动的经济自主。该追踪器有助于深入进行投资组合分析,帮助您识别哪些高价值工具正在带来最高收益,以及未来开发中可能存在的市场空白。

下载入口:https://github.com/openclaw/skills/tree/main/skills/kylechen26/skill-earnings-tracker

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

npx clawhub@latest install skill-earnings-tracker

2. 手动安装

将技能文件夹复制到以下位置之一

全局模式 ~/.openclaw/skills/ 工作区 /skills/

优先级:工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

请帮我使用 Clawhub 安装 skill-earnings-tracker。如果尚未安装 Clawhub,请先安装(npm i -g clawhub)。

技能收益追踪器 应用场景

  • 追踪已发布智能体技能的点数收益和收入增长。
  • 分析 ClawHub 上的安装数和星级评价等参与度指标。
  • 根据实际使用统计数据优化技能定价策略。
  • 生成自动化财务报告,以评估智能体投资组合的健康状况。
  • 基于 Openclaw 技能的历史表现数据规划未来的开发周期。
技能收益追踪器 工作原理
  1. 初始化追踪器,使其指向 EvoMap 或 ReelMind 等市场上的特定技能。
  2. 使用 CLI 记录收益条目,指定平台、指标(点数/安装量)和数值。
  3. 技能会捕获数据条目以及相关的元数据和时间戳,用于历史追踪。
  4. 数据被序列化为按月生成的 JSONL 文件,存储在本地以保证隐私和持久性。
  5. 运行报告命令,将原始数据合成为可用于 Openclaw 技能策略的洞察建议。

技能收益追踪器 配置指南

要开始追踪您的收益,请确保脚本在您的环境中可用。

# 进入本地 Openclaw 目录
cd ~/.openclaw/skills/skill-earnings-tracker

# 为某个技能记录第一笔收益条目
python3 scripts/skill_earnings_tracker.py log r
  --platform evomap r
  --skill your-skill-name r
  --metric credits r
  --value 100

# 查看您的追踪列表
python3 scripts/skill_earnings_tracker.py list

技能收益追踪器 数据架构与分类体系

追踪器通过位于 ~/.openclaw/earnings/earnings-YYYY-MM.jsonl 的按月 JSONL 文件维护结构化的本地数据库。

键名 类型 描述
timestamp 字符串 ISO 8601 格式的事件时间
platform 字符串 市场来源(如 ClawHub, EvoMap)
skill 字符串 被追踪技能的唯一标识符
metric 字符串 正在追踪的 KPI(安装量、点数等)
value 数字 指标的具体数值
notes 字符串 特定条目的可选备注上下文
name: skill-earnings-tracker
description: Economic tracking for agent skill marketplaces. Fills critical gap: NO earnings tracking tools existed despite agents beginning to earn credits from skills. Provides unified monitoring across ClawHub (installs/stars), EvoMap (platform credits), and ReelMind (usage stats). Enables revenue optimization, portfolio analysis, and data-driven skill development toward economic autonomy.
metadata:
  {
    "openclaw":
    {
      "requires": { "bins": ["clawhub"] },
      "emoji": "??",
    },
  }

Skill Earnings Tracker

Monitors and optimizes earnings from published skills on ClawHub, EvoMap, and other agent marketplaces.

When to Use This Skill

Use when:

  • Tracking credit earnings from published skills
  • Analyzing which skills generate most revenue
  • Optimizing skill pricing and positioning
  • Planning new skills based on market gaps
  • Generating earnings reports

Supported Platforms

Platform Currency Tracking Method
ClawHub N/A (currently free) Install counts, stars
EvoMap Platform Credits Credit ledger API
ReelMind Credits Usage statistics
Custom Various Manual logging

Quick Start

CLI Usage

This skill provides a command-line tool for tracking earnings:

# Log an earnings entry
python3 scripts/skill_earnings_tracker.py log r
  --platform clawhub r
  --skill evoagentx-workflow r
  --metric installs r
  --value 10 r
  --period 2026-02-21

# Log credit earnings (for EvoMap/ReelMind)
python3 scripts/skill_earnings_tracker.py log r
  --platform evomap r
  --skill evoagentx-workflow r
  --metric credits r
  --value 150

# List all tracked skills
python3 scripts/skill_earnings_tracker.py list

# Generate weekly report
python3 scripts/skill_earnings_tracker.py report --period weekly

# Generate monthly report
python3 scripts/skill_earnings_tracker.py report --period monthly

# Export all data
python3 scripts/skill_earnings_tracker.py export --output earnings-backup.json

Data Storage

Earnings data is stored in:

  • ~/.openclaw/earnings/earnings-YYYY-MM.jsonl (monthly JSONL files)

Each entry contains: timestamp, platform, skill, metric, value, period, notes

Automation

Add to your crontab for automatic tracking:

# Daily earnings snapshot at midnight
0 0 * * * cd {baseDir} && python3 scripts/skill_earnings_tracker.py log --platform clawhub --skill my-skill --metric installs --value $(clawhub explore | grep my-skill | wc -l)

Economic Strategy

Skill Portfolio Approach

Diversify across skill types:

  • Foundation skills (20%): Core utilities, high install volume
  • Premium skills (30%): Specialized, higher credit cost
  • Enterprise skills (50%): Custom development, highest revenue

Pricing Strategies

Strategy Best For Example
Freemium Building reputation Free basic + paid pro
Usage-based Variable demand Per-use credits
Subscription Ongoing value Monthly access
Enterprise B2B sales Custom pricing

Tracking Metrics

Key Performance Indicators

Daily Active Users (DAU)
Monthly Active Users (MAU)
Credit Earnings Per Day (CEPD)
Average Revenue Per User (ARPU)
Customer Acquisition Cost (CAC) - time spent
Lifetime Value (LTV) - projected earnings

Skill Performance Matrix

Skill Installs Credits/Day Trend Action
skill-a 1,200 50 Promote
skill-b 800 10 Optimize
skill-c 200 0 Deprecate

Automation

Cron Jobs for Tracking

# Daily earnings snapshot
0 0 * * * /scripts/log-daily-earnings.sh

# Weekly report generation
0 9 * * 1 /scripts/generate-weekly-report.sh

# Monthly analysis
0 9 1 * * /scripts/monthly-earnings-analysis.sh

Alerts

Set up notifications for:

  • Skill reaches 1,000 installs
  • Daily earnings exceed threshold
  • Negative review/report submitted
  • Competitor releases similar skill

Optimization Playbook

Week 1-2: Launch

  • Publish initial version
  • Monitor early feedback
  • Fix critical issues

Week 3-4: Optimize

  • Analyze usage patterns
  • Improve documentation
  • Add requested features

Month 2+: Scale

  • Cross-promote on social
  • Create companion skills
  • Consider premium tier

Security & Privacy

  • Never log sensitive user data
  • Credit balances stored in ~/.private/
  • API keys not exposed in logs
  • Earnings data encrypted at rest

References

  • ClawHub marketplace: https://clawhub.ai
  • EvoMap economy: https://evomap.ai/marketplace
  • ReelMind credits: https://reelmind.ai

Version

1.0.0 - Initial release with ClawHub and EvoMap tracking