autonomous-earning-system

autonomous-earning-system is a skill for Claude Code, Codex from taoma888/awesome-ai-skills. It costs 0 tokens per session (1,660 once invoked), scanned A, original, MIT.

A business-planning skill that looks for customer needs, checks whether people may pay, suggests a small product and maps it to ways of earning money.

In plain words
What is it for?
Use it to explore side businesses, subscription products, affiliate marketing, advertising, digital products, ecommerce or paid services.
Why use it?
It gives a structured way to assess money-making ideas before building them. It helps connect a possible product with demand, competition and a delivery method.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to explore side businesses, subscription products, affiliate marketing, advertising, digital products, ecommerce or paid services.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/taoma888/awesome-ai-skills/autonomous-earning-system
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 taoma888/awesome-ai-skills --skill autonomous-earning-system
Clone the repo
git clone --depth 1 https://github.com/taoma888/awesome-ai-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 autonomous-earning-system

README.md
[![agentmods](https://agentmods.dev/badge/skills/taoma888/awesome-ai-skills/autonomous-earning-system/github.svg)](https://agentmods.dev/skills/taoma888/awesome-ai-skills/autonomous-earning-system)
Your own site
<a href="https://agentmods.dev/skills/taoma888/awesome-ai-skills/autonomous-earning-system"><img src="https://agentmods.dev/badge/skills/taoma888/awesome-ai-skills/autonomous-earning-system/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 autonomous-earning-system

Your own site · 80×15
<a href="https://agentmods.dev/skills/taoma888/awesome-ai-skills/autonomous-earning-system"><img src="https://agentmods.dev/badge/skills/taoma888/awesome-ai-skills/autonomous-earning-system.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,660 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.
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 $0.00000 $0.01660
Opus 5 $0.00000 $0.00830
Sonnet 5 $0.00000 $0.00332
Haiku 4.5 $0.00000 $0.00166

Measured 12d ago against content hash c7f61b5bf289, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

autonomous-earning-system 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/competitor_radar.py, scripts/demand_miner.py, scripts/mvp_generator.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/autonomous-earning-system/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

💰 自主赚钱系统 — Autonomous Earning System

让 AI 像CEO一样思考:发现机会 → 验证需求 → 设计最小可行产品 → 自动化执行 → 持续放大


触发条件

用户说:赚钱、变现、收入、如何盈利、被动收入、副业、
月入X、佣金、联盟、分销、被动收入、睡后收入

核心框架

第一步:需求挖掘(1分钟)

# 执行此脚本:skills/autonomous-earning-system/scripts/demand_miner.py
"""
用 Brave Search 挖掘真实赚钱需求
"""

需求判断标准(必须全部满足):

  • ✅ 有真实的人在问(搜索量 > 100/月)
  • ✅ 愿意付费解决(竞品存在且收费)
  • ✅ 我能比现有方案好10%(差异化切入点)
  • ✅ 可以自动化交付(边际成本为零)

需求分级:

级别 特征 举例 变现速度
A级 强刚需+高频+付费意愿高 AI写作助手、代码生成 1-2周
B级 刚需+中频 SEO工具、数据分析 1个月
C级 弱需求+长周期 兴趣社区、素材站 3个月+

第二步:变现模式匹配

根据需求类型,自动匹配最优变现模式:

变现模式速查表:
┌─────────────────┬──────────────────┬────────────┬─────────────┐
│ 变现模式          │ 适合产品            │ 利润率     │ 启动难度    │
├─────────────────┼──────────────────┼────────────┼─────────────┤
│ 联盟营销 (10-50%)│ 工具导航、教育产品   │ ★★★★       │ ★★          │
│ SaaS订阅 (月付)  │ 工具类、效率类      │ ★★★★★      │ ★★★★        │
│ 付费会员 (9-99/月)│ 资源合集、课程      │ ★★★        │ ★★          │
│ 广告CPM/CPC      │ 流量站、内容站      │ ★★         │ ★★          │
│ 数字产品 (一次买断)│ 模板、教程、工具包   │ ★★★★★      │ ★★★         │
│ 电商带货 (3-50%) │ 实物商品、AI硬件    │ ★★         │ ★★          │
│ 服务变现 (时薪/包月)│ 咨询、代运营、定制  │ ★★★        │ ★★          │
└─────────────────┴──────────────────┴────────────┴─────────────┘

第三步:竞品分析(执行脚本)

# 脚本:skills/autonomous-earning-system/scripts/competitor_radar.py
python competitor_radar.py --keyword "AI写作工具"
# 输出:TOP10竞品分析表(含月访问量、变现模式、价格、优劣势)

竞品分析维度:

  • 月访问量(SimilarWeb估算)
  • 变现模式(订阅?免费?联盟?)
  • 价格策略(有无免费版?升级点在哪?)
  • SEO排名(核心关键词排名)
  • 社交媒体声量
  • 用户评价(AppSumo/ProductHunt/知乎)
  • 差异化切入点

第四步:MVP设计(模板)

## [产品名] — 最小可行产品设计

### 🎯 一句话定位
帮助 [目标用户] 解决 [核心问题],通过 [独特方式] 实现 [核心价值]

### 💡 差异化切入点(必须具体)
不是"比竞品更好",而是"在 [特定维度] 完全不同"

### 📦 MVP功能清单(最多3个)
1. [功能1] — 直接解决核心问题
2. [功能2] — 建立护城河/数据壁垒
3. [功能3] — 未来付费升级点

### 💰 变现设计
- 免费版:[具体限制]
- 付费版(¥X/月):[解锁功能]
- 联盟:[具体佣金比例]

### 📊 验证标准
- 首月目标:X个付费用户 / ¥X收入
- 验证方式:[具体验证方法]

### 🚀 启动路径(7天)
Day 1: [具体任务]
Day 2: [具体任务]
Day 3: [具体任务]
Day 4: [具体任务]
Day 5: [具体任务]
Day 6: [具体任务]
Day 7: [具体任务]

Read the full file on GitHub · 179 lines

Files

What ships with it

3 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. 12d ago First seen · 179 lines · 0 tokens per session scan A c7f61b5bf289

Subscribe to this mod's changes

autonomous-earning-system is a skill published in the GitHub repository taoma888/awesome-ai-skills (5 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,660 tokens. 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens