by kevinten-ai · Agent Tool · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 65 |
| Forks | 18 |
| Language | Java |
| Category | Agent Tool |
| Quality Score | 59/100 |
| Last Updated | 2026-06-28 |
| Created | 2025-12-22 |
| Platforms | java |
| Est. Tokens | ~22k |
AgentScope 框架学习指南 —— 以代码审查 Agent 为例 基于 AgentScope Java SDK 实现的智能代码审查 AI Agent 项目，同时作为 AgentScope 框架的学习教程。 目录 一、AgentScope 框架概览 1.1 什么是 AgentScope 1.2 框架定位与特色 1.3 与其他 Agent 框架的对比 二、核心概念详解 2.1 Agent（智能体） 2.2 Message（消息） 2.3 Tool & Toolkit（工具系统） 2.4 Memory（记忆） 2.5 Pipeline（流水线编排） 2.6 ReAct 模式 三、Java SDK 架构 3.1 核心包结构 3.2 模型支持 3.3 Spring Boot 集成 3.4 响应式编程模型 四、本项目实战解析 4.1 项目结构 4.2 核心配置解析 4.3 工具开发详解 4.4...
Looking for a ai-agent-agentscope-codereview alternative? If you're comparing ai-agent-agentscope-codereview with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic
Bridgic is the next-generation agent development framework for building intelligent systems.
A lightweight AI agent framework for vertical domain applications | 面向垂域应用的轻量级 AI Agent 框架
LLM-powered Agent Runtime with Dynamic DAG Planning & Concurrent Execution
EdgeCrab 🦀 A Super Powerful Personal Assistant inspired by NousHermes and OpenClaw — Rust-native, blazing-fas
Give AI agents a safe, self-hosted ZAP operator for guided web security scans, findings, reports, and producti
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: