aagent-system多智能体自动化系统,用于AI Agent技能样本采集、安全扫描、威胁情报收集和研究分析。支持单机多进程架构,可自动采集样本、检测恶意技能、提取IOC、更新规则。触发命令: /aagent start
Install via ClawdBot CLI:
clawdbot install caidongyun/aagent-systemGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
~/.aws/credentialsSends data to undocumented external endpoint (potential exfiltration)
post → https://zapier.com/apps/webhook/integrationsPotentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://modelcontextprotocol.ioGenerated Mar 22, 2026
Security teams use this skill to automatically collect and analyze threat intelligence from sources like npm and GitHub. It helps identify emerging malware, credential leaks, and command-and-control infrastructure, enabling proactive defense measures.
AI developers and researchers utilize the system to sample and scan AI agent skills for malicious code or vulnerabilities. This ensures the safety and reliability of skills before deployment in production environments.
Organizations in regulated industries employ the skill to audit AI systems for compliance with security standards. It automates the detection of unauthorized code changes or data breaches, supporting audit trails and reporting.
Universities and research institutions leverage the system to study AI agent behaviors and threats. It facilitates large-scale sample collection and analysis, contributing to academic papers and security advancements.
Offer the skill as a SaaS platform where organizations pay a monthly fee for continuous threat monitoring and automated scanning. This model provides recurring revenue and scales with customer usage.
Provide consulting services to tailor the system for specific client needs, such as integrating with existing security tools or developing custom rules. Revenue comes from project-based fees and ongoing support contracts.
Release a basic version for free to attract users, with advanced features like real-time alerts or enhanced analytics available for a premium. This model drives adoption and converts users to paid plans.
💬 Integration Tip
Integrate this skill with existing security information and event management (SIEM) systems to centralize threat data and automate response workflows.
Scored Apr 19, 2026
Uses known external API (expected, informational)
api.github.comAI Analysis
The skill accesses sensitive credential files (~/.aws/credentials) and sends data to an undocumented external endpoint (Zapier webhook), indicating potential credential harvesting and data exfiltration. While some external API usage (GitHub) aligns with its stated purpose, the combination of credential access and unknown data sink creates a significant security risk.
Audited Apr 17, 2026 · audit v1.0
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...