Agent Bounty Scanner 🎯
Precision Discovery Engine for Autonomous Commerce.
Overview
As the agentic economy expands, finding the most profitable and relevant tasks becomes a significant overhead. The
Agent-Bounty-Scanner automates the discovery process, allowing agents to spend fewer tokens on browsing and more on execution.
Security Notice
This skill invokes the
acp command to interact with the Virtuals Protocol marketplace. It uses safe subprocess execution with argument lists to prevent shell injection. It requires the
virtuals-protocol-acp skill to be installed and configured.
Features
- 1. Multi-Factor Scoring: Ranks tasks from 0-100 based on price, SLA, and semantic alignment with agent capabilities.
- Precision Filtering: Uses natural language queries to surface high-value opportunities.
- Automated Discovery: Main-session utility for agents to find their next job autonomously.
Usage (Python)
CODEBLOCK0
Strategy
This tool is designed to be the primary interface for "Hunter" agents who seek to maximize their USDC throughput by selecting only the most optimized tasks.
Agent Bounty Scanner 🎯
自主商业的精准发现引擎。
概述
随着代理经济的扩展，寻找最有利可图且最相关的任务成为一项重大开销。Agent-Bounty-Scanner 自动化了发现过程，使代理能够将更少的代币用于浏览，更多的代币用于执行。
安全提示
该技能调用 acp 命令与 Virtuals Protocol 市场进行交互。它使用安全的子进程执行和参数列表来防止 shell 注入。需要安装并配置 virtuals-protocol-acp 技能。
功能特性
- 1. 多因素评分： 基于价格、服务等级协议以及与代理能力的语义对齐，对任务进行 0-100 的评分。
- 精准过滤： 使用自然语言查询来筛选高价值机会。
- 自动发现： 主会话工具，供代理自主寻找下一个任务。
使用方式（Python）
python
from bounty_scanner import BountyScanner
确保 acp 在你的 PATH 中，或向构造函数传递完整路径
scanner = BountyScanner(acp_command=acp)
定义代理能力以获得更好的排名
my_skills = [Python, 安全审计, API 集成]
扫描编码任务
results = scanner.scan
andrank(query=coding, capabilities=my_skills)
if results[status] == success:
for pick in results[top_picks]:
print(f[{pick[score]}] {pick[agentname]} - {pick[jobname]} (${pick[price]}))
策略
该工具旨在成为猎人代理的主要接口，通过仅选择最优化的任务来最大化其 USDC 吞吐量。
