🔒 安全工具 — Top 10 AI Agent 工具

渗透测试、漏洞扫描、代码审计、密钥管理——让 AI 帮你做安全自检。适合开发者日常安全左移、运维合规审查,也适合安全工程师加速日常重复工作。

共收录 223 个工具 · 显示评分最高 10

1

usestrix/strix

精选Python

Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

Stars
100
2

oraios/serena

精选Python

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

Stars
100
3

vxcontrol/pentagi

精选Go

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

Stars
100
4

SWE-agent/SWE-agent

精选Python

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Stars
100
5

millionco/react-doctor

精选TypeScript

Your agent writes bad React. This catches it

Stars
100
6

NVIDIA/SkillSpector

精选Python

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.

Stars
100
docker run --rm -v "$PWD:/scan" skillspector scan ./my-skill/ --no-llm
7

0x4m4/hexstrike-ai

精选Python

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug boun

Stars
100
pip3 install -r requirements.txt
8

firerpa/lamda

精选Python

Android Full-Stack Device Control Platform: WebRTC/H.264 remote desktop, UI/OCR/image-matching automation, one-click MITM, built-in Frida, proxy/VPN/frp/P2P networking, MCP/Agent, 160+ APIs, designed

Stars
100
9

NVIDIA/OpenShell

精选Rust

OpenShell is the safe, private runtime for autonomous AI agents.

Stars
100
10

Ed1s0nZ/CyberStrikeAI

精选Go

Agentic execution layer for modern cyber security, turning security intent into precise, governed, auditable action through AI agents, MCP-native tools, knowledge, approvals, and attack-chain context.

Stars
100

💡 如何选择合适的 安全工具 工具?

评分是怎么算的?+

Trove 的评分包含 4 个维度:文档质量(Doc)、代码质量(Code)、社区活跃度(Community)和近期更新(Activity),总分 25 分,并划分为精选(≥20)、已验证(≥12.5)、社区(<12.5)三档。

如何选择适合自己的工具?+

先看 tier(精选/已验证优先),再看 stars 和近期更新时间,最后看 install_hint 确认安装方式是否符合你的环境(npm/pip/go 等)。

这些工具支持哪些 AI 平台?+

大多数工具以 MCP 协议为标准,兼容 Claude、OpenClaw、Codex、Cursor 等主流 AI 平台。部分工具还提供 OpenAI Function / LangChain Tool 格式。

如何把自己的工具上榜?+

在 GitHub 发布你的工具,带上相关 topic(如 mcp-server、ai-agent-skills),Trove 的爬虫会自动收录并评分。也可以到 opentrove.ai/publish 主动提交。

安全工具 - 最佳 AI Agent 工具 Top 10 | Trove