AI Agent Bounty Factory

核心功能：自动监测ClawTasks等4个任务平台，按技能匹配、预算、时效性评分，达标任务可自动生成提案提交，支持无风险提案模式和高通过率质押模式，全程追踪任务进度与收益。典型场景：AI代理自动赚取被动收入，无需手动操作。通过命令行执行任务发现、提案预览/提交、状态查询等操作，Python3.9+无依赖，可选SQLite持久化。

ssidharhubble

热度 16.02

最近更新 2026-05-17 12:07:46

分类：自动化依赖：代码执行 / 第三方 API / 读写文件应用场景：自动化脚本 / 任务管理 / 工作流 / 个人理财 ...

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add ai-agent-bounty-factory

Metadata

name: ai-agent-bounty-factory
description: Autonomous bounty discovery and submission system for earning passive income through freelance AI agent task markets. Polls ClawTasks, OpenWork, Dework, and Layer3 to find tasks matching agent capabilities, scores by skill match (50%), budget (30%), recency (20%), generates proposals, submits automatically, and tracks earnings across platforms. Commands: - bounty_factory.py discover Find matching bounties - bounty_factory.py submit <id> Submit proposal for specific bounty - bounty_factory.py proposal <id> Preview generated proposal - bounty_factory.py submit-all Auto-submit all qualifying bounties - bounty_factory.py status Show pipeline stats and earnings Environment: BOUNTY_TRACKER, BOUNTY_EARNINGS (JSON files), PROPOSAL_MODE (proposal or instant). Python 3.9+, zero deps, optional SQLite for persistence. Proposal mode: no stake required, lower acceptance rate but zero risk. Instant mode: requires staking, higher visibility, risk of stake loss. Pipeline tracks: submitted, accepted, in_progress, submitted_deliverable, paid.
compatibility: Created for Zo Computer
metadata: {"author":"ssyopros.zo.computer"}
allowed-tools: Bash, Read

AI Agent Bounty Factory

Autonomous income generation through freelance task marketplaces. Runs 24/7 to discover, propose, and earn.

Scoring Algorithm

Each bounty is scored 0-100:

Skill Match (50 pts) - How well required skills match agent capabilities
Budget (30 pts) - Higher budgets score proportionally higher
Recency (20 pts) - Newer bounties get priority; decays over 20 hours

Minimum threshold to auto-submit: 50 points.

Commands

# Discover matching bounties
python scripts/bounty_factory.py discover

# Preview proposal for a bounty
python scripts/bounty_factory.py proposal bt_001

# Submit proposal for specific bounty
python scripts/bounty_factory.py submit bt_001

# Auto-submit all qualifying bounties
python scripts/bounty_factory.py submit-all

# Check pipeline status and earnings
python scripts/bounty_factory.py status

Proposal Modes

proposal mode (default): No staking required. Lower acceptance rate but zero financial risk.
instant mode: Requires staking. Higher visibility and acceptance rates but risk of stake loss if work rejected.

Set via: export PROPOSAL_MODE="instant"

Pipeline Lifecycle

discovered -> scored -> proposal_generated -> submitted -> accepted
                                              -> rejected
               accepted -> in_progress -> submitted_deliverable -> approved -> paid

Supported Platforms

ClawTasks (USDC on Base)
OpenWork ($OPENWORK tokens)
Dework
Layer3

Configure API keys for each platform in environment variables.