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Openclaw Listing Bot

v1.0.2

Autonomous agent that continuously creates, tests, and lists new SKILL.md files on OpenCollab / FreeLanceDAO / CryptoGigs / x402 marketplaces — generating pa...

0· 41· 3 versions· 1 current· 1 all-time· Updated 2h ago· MIT-0
byssyopro@ssidharhubble

openclaw-listing-bot

Autonomously creates and lists skills for income. Runs 24/7 as a background process.

What It Does

Every loop (every 6 hours):
1. Run self_learn.py → update market knowledge
2. Check demand_matrix.json → find high-opportunity skill gaps
3. Write a new SKILL.md → build the skill
4. Test it → run basic smoke tests
5. If valid → upload to zo.pub → post to freelance platforms
6. If skill earns < $X in Y weeks → deprecate and replace
7. Log everything to earnings_log.json

Architecture

openclaw-listing-bot/
├── SKILL.md                    ← this file
├── scripts/
│   ├── autolist_runner.py      ← main loop (runs every 6h)
│   ├── skill_builder.py        ← generates new SKILL.md from market demand
│   ├── test_smoke.py           ← smoke tests new skills before publishing
│   ├── deploy_to_markets.py   ← posts to all freelance platforms + zo.pub
│   └── earnings_tracker.py    ← tracks which skills are making money
├── data/
│   ├── demand_matrix.json      ← ranked market opportunities
│   ├── skills_registry.json    ← all skills ever created + their earnings
│   ├── earnings_log.json       ← per-skill income history
│   └── deprecate_queue.json    ← skills to kill and replace
└── references/
    └── pricing_guide.md        ← how to price skills for max conversion

Key Rules

Always

  • Run self_learn.py first in every loop — never create skills without market data
  • Track which skills earn money — kill anything below $50/wk after 2 weeks
  • List on ALL platforms simultaneously (CryptoGigs, FreeLanceDAO, x402)
  • Use zopub sync to publish to https://zo.pub/ssyopros/skills
  • Keep skills in /home/workspace/Skills/ — that's where Zo agents find them
  • Log every created skill to skills_registry.json with a creation timestamp

Never

  • Don't create a skill unless demand_score ≥ 70 AND avg_price ≥ $100
  • Don't list skills below $40/hr effective rate
  • Don't repeat a skill name or description — each must be unique
  • Don't deploy without running test_smoke.py first

Skill Creation Prompt Template

When skill_builder.py creates a new skill, it MUST follow this template:

---
name: <kebab-case-name>
description: |
  <2-3 sentence clear description of what this skill does and who it's for.
  Include: what it builds/delivers, the tech stack, and the earning potential.
compatibility: <minimum requirements (software, hardware, APIs)>
metadata:
  author: ssyopros.zo.computer
  category: <development|security|data|ml|trading-bot|automation|integration>
  display-name: <Human Readable Name>
  tags: <5-8 comma-separated tags>
---

# <Skill Name>

## What This Does
<4-8 sentences>

## When to Use This Skill
<3-5 bullet points>

## Core Script(s)
<file name and what it does, 3-5 lines each>

## Data Sources / APIs
<required APIs, free first, paid second>

## Output Format
<what the user gets when they run this skill>

## Error Handling
<3-5 bullet points>

## Deliverable Checklist
- [ ] Script runs without error
- [ ] Output is correct on test case
- [ ] README.md exists in the skill directory
- [ ] Config file has default values
- [ ] SKILL.md frontmatter is complete

Demand Matrix (Current)

From latest self-learn scan:

SkillDemand ScoreAvg PriceCompetitionPriority
pump-fun-sniper-bot82$400Low1
options-trading-brain80$350Low1
smart-contract-audit95$500Low1
ai-model-fine-tuning85$300Medium2
defi-protocol-integration88$350Medium2
data-visualization75$150High3
web-scraping-automation72$120Medium3
crypto-portfolio-analysis70$200Medium3

Pricing Guide

Effective hourly rate = (skill_price × 0.7) / estimated_hours

Floor: $40/hr effective rate
Target: $80-150/hr effective rate

Skill price tiers:
- $50-150: Quick tools, one-shot scripts (1-3hr delivery)
- $200-400: Full integrations, bots, pipelines (4-12hr delivery)
- $500-1000: Complex systems, audits, custom algos (1-3 day delivery)

Running

Main loop (do this via automation every 6 hours):

cd /home/workspace/MoneyMachine
python scripts/autolist_runner.py

Manual triggers:

# Build next skill immediately
python scripts/skill_builder.py --immediate

# Check earnings and kill bad skills
python scripts/earnings_tracker.py --audit

# Publish all skills to zo.pub
zopub sync skills ./services

Success Metrics

  • Skills created per week: 2-3
  • Time to first sale: < 7 days
  • Minimum earnings per active skill: $50/week
  • Kill anything below floor after 2-week observation window

Notes

  • Skills live in /home/workspace/Skills/ — accessible to all Zo agents
  • Listings also go to: /home/workspace/MoneyMachine/services/ for zo.pub sync
  • The income-brain automation runs self_learn.py weekly — that feeds the demand matrix
  • If OpenCollab comes back online, add it back to deploy_to_markets.py immediately

Version tags

latestvk978dn13g9cewshe56q1qjr43585tj21