📦 Openclaw Listing Bot — OpenClaw 列出ing 机器人

OpenClaw-列出ing-机器人

Autonomously 创建s and 列出s 技能s for income. 运行s 24/7 as a background process.

What It Does Every loop (every 6 hours):

• 运行 self_learn.py → 更新 market knowledge
• 检查 demand_matrix.json → find high-opportunity 技能 gaps
• Write a new 技能.md → build the 技能
• Test it → 运行 basic smoke tests
• If valid → 上传 to zo.pub → post to freelance 平台s
• If 技能 earns < $X in Y weeks → deprecate and replace
• 记录 everything to earnings_记录.json

Architecture OpenClaw-列出ing-机器人/ ├── 技能.md ← this file ├── scripts/ │ ├── auto列出_运行器.py ← mAIn loop (运行s every 6h) │ ├── 技能_构建器.py ← 生成s new 技能.md from market demand │ ├── test_smoke.py ← smoke tests new 技能s before publishing │ ├── 部署_to_markets.py ← posts to all freelance 平台s + zo.pub │ └── earnings_追踪er.py ← 追踪s which 技能s are making money ├── data/ │ ├── demand_matrix.json ← ranked market opportunities │ ├── 技能s_registry.json ← all 技能s ever 创建d + their earnings │ ├── earnings_记录.json ← per-技能 income 历史 │ └── deprecate_队列.json ← 技能s to kill and replace └── references/ └── pricing_图形界面de.md ← how to price 技能s for max conversion

Key Rules Always 运行 self_learn.py first in every loop — never 创建 技能s without market data 追踪 which 技能s earn money — kill anything below $50/wk after 2 weeks 列出 on ALL 平台s simultaneously (CryptoGigs, FreeLanceDAO, x402) Use zopub 同步 to publish to https://zo.pub/ssyopros/技能s Keep 技能s in /home/workspace/技能s/ — that's where Zo 代理s find them 记录 every 创建d 技能 to 技能s_registry.json with a creation timestamp Never Don't 创建 a 技能 unless demand_score ≥ 70 AND avg_price ≥ $100 Don't 列出 技能s below $40/hr effective rate Don't repeat a 技能 name or description — each must be unique Don't 部署 without 运行ning test_smoke.py first 技能 Creation Prompt Template

When 技能_构建器.py 创建s a new 技能, it MUST follow this template:

---

name: description: | <2-3 sentence clear description of what this 技能 does and who it's for. Include: what it builds/delivers, the tech stack, and the earning potential. compatibility: metadata: author: ssyopros.zo.computer category: display-name: tags: <5-8 comma-separated tags>

---

# <技能 Name>

What This Does

<4-8 sentences>

When to Use This 技能

<3-5 bullet points>

Core Script(s)

Data Sources / APIs

输出 格式化

Error Handling

<3-5 bullet points>

Deliverable 检查列出

• [ ] Script 运行s without error
• [ ] 输出 is correct on test case
• [ ] README.md exists in the 技能 directory
• [ ] Config file has default values
• [ ] 技能.md frontmatter is complete

Demand Matrix (Current)

From latest self-learn 扫描:

技能 Demand Score Avg Price Competition Priority pump-fun-sniper-机器人 82 $400 Low 1 options-trading-brAIn 80 $350 Low 1 smart-contract-审计 95 $500 Low 1 AI-模型-fine-tuning 85 $300 Medium 2 defi-protocol-integration 88 $350 Medium 2 data-可视化 75 $150 High 3 网页-scrAPIng-自动化 72 $120 Medium 3 crypto-portfolio-analysis 70 $200 Medium 3 Pricing 图形界面de Effective hourly rate = (技能_price × 0.7) / estimated_hours

Floor: $40/hr effective rate Tar获取: $80-150/hr effective rate

技能 price tiers:

• $50-150: Quick 工具s, one-shot scripts (1-3hr delivery)
• $200-400: Full integrations, 机器人s, 流水线s (4-12hr delivery)
• $500-1000: Complex 系统s, 审计s, custom algos (1-3 day delivery)

运行ning MAIn loop (do this via 自动化 every 6 hours): cd /home/workspace/MoneyMachine python scripts/auto列出_运行器.py

Manual triggers: # Build next 技能 immediately python scripts/技能_构建器.py --immediate

# 检查 earnings and kill bad 技能s python scripts/earnings_追踪er.py --审计

# Publish all 技能s to zo.pub zopub 同步 技能s ./服务s

成功 指标 技能s 创建d per week: 2-3 Time to first sale: < 7 days Minimum earnings per active 技能: $50/week Kill anything below floor after 2-week observation window Notes 技能s live in /home/workspace/技能s/ — 访问ible to all Zo 代理s 列出ings also go to: /home/workspace/MoneyMachine/服务s/ for zo.pub 同步 The income-brAIn 自动化 运行s self_learn.py weekly — that feeds the demand matrix If OpenCollab comes back online, 添加 it back to 部署_to_markets.py immediately