2026 最佳 AI 安全工具推荐
AI 安全扫描 Agent、漏洞检测、代码审计工具和威胁建模工作流。AI 驱动的左移安全。
Antigravity Awesome Skills — 1,340+ Agentic Skills Library
Installable library of 1,340+ agentic skills for Claude Code, Cursor, Codex CLI, and Gemini CLI. One command installs skills like brainstorming, security auditing, frontend design, and API design.
Claude Code Agent: Smart Contract Auditor — Web3 Security
Claude Code agent for auditing Solidity smart contracts. Reentrancy, overflow, access control, gas optimization, and best practices.
Nuxt + Go-Zero Quality Audit Skill — 30 Checks from 250 Real Bugs
Production-tested quality check skill for Nuxt SSR + Go-Zero + MySQL projects. 30 automated checks across 7 dimensions (security, race conditions, transactions, frontend SSR, dependencies, API contracts, ops) — distilled from 10 rounds of Codex audit that found ~250 real issues in a live SaaS product.
RAPTOR — Security Research Agent for Claude Code
Autonomous offensive and defensive security framework built on Claude Code. Performs static analysis, binary fuzzing, vulnerability discovery, exploit generation, and patch development. MIT.
Claude Code Agent: Security Auditor — OWASP & Dependency Scan
Claude Code agent that audits your codebase for OWASP top 10 vulnerabilities, dependency issues, and security anti-patterns.
Gemini CLI Extension: Security — Vulnerability Scanner
Gemini CLI extension for security analysis. Scans code for vulnerabilities, checks dependencies, and provides remediation guidance.
LLM Wiki Memory Upgrade Prompt
One-click prompt to upgrade your AI agent memory system to Karpathy LLM Wiki pattern. Send to Claude Code / Cursor / Windsurf — auto audits, compiles fragments, resolves contradictions, builds structured wiki.
Google Gemini CLI — All Official Extensions Collection
40+ official Gemini CLI extensions by Google: coding, security, Google Cloud, databases, and partner integrations.
Awesome Prompt Engineering — Papers, Tools & Courses
Hand-curated collection of 60+ papers, 50+ tools, benchmarks, and courses for prompt engineering and context engineering. Covers CoT, RAG, agents, security, and multimodal. Apache 2.0.
Awesome Claude Skills — 50+ Verified Agent Skills
Curated collection of 50+ verified Claude skills across 11 categories: document processing, testing, debugging, security, media creation, data analysis, and meta skills. Community-driven, MIT license.
Awesome Claude Code Subagents — 130+ Specialized Agents
Install 130+ specialized Claude Code subagents across 10 categories: core dev, language experts, infra, security, data/AI, DevEx, and business. Plugin-based with 16.7K GitHub stars.
Infisical — Open-Source Secret Management
Manage API keys and secrets across teams and environments. Auto-sync to apps, rotation, audit logs. 25K+ GitHub stars.
Claude Code Agent: SEO Specialist — Technical SEO Audit
Claude Code agent for technical SEO. Audit meta tags, structured data, Core Web Vitals, crawlability, and content optimization.
Magika — Google AI File Type Detection Tool
Google's deep learning file type detector with 99%+ accuracy. Magika identifies 200+ file types using AI instead of magic bytes, ideal for security scanning and content processing.
Claude Forge — Plugin Framework for Claude Code
Supercharge Claude Code with 11 AI agents, 36 commands, and 15 skills. The oh-my-zsh-inspired plugin framework with 6-layer security hooks. 5-minute install. 640+ GitHub stars.
Pinecone — Managed Vector Database for Production AI
Fully managed vector database for production AI search. Pinecone offers serverless scaling, hybrid search, metadata filtering, and enterprise security with zero infrastructure.
Lark CLI Skill: Shared — Auth, Config & Security
Lark/Feishu CLI shared foundation skill. App config, auth login, identity switching, scope management, and security rules.
Repomix — Pack Any Repo into One AI-Ready File
Packs your entire codebase into a single AI-friendly file with token counting, security scanning, and multiple output formats. Perfect for LLM context.
Promptfoo — Test & Red-Team LLM Apps
Promptfoo is a CLI for evaluating prompts, comparing models, and red-teaming AI apps. 18.9K+ GitHub stars. Side-by-side comparison, vulnerability scanning, CI/CD. MIT.
Prompt Injection Defense — Security Guide for LLM Apps
Comprehensive security guide for defending LLM applications against prompt injection, jailbreaks, data exfiltration, and indirect attacks. Includes defense patterns, code examples, and testing strategies.
Documenso — Open Source Document Signing Platform
Documenso is an open-source DocuSign alternative for self-hosted document signing with PDF e-signatures, audit trails, and Next.js stack.
Claude Code Hooks — Custom Automation Recipes
Collection of ready-to-use Claude Code hook recipes for automating code formatting, testing, notifications, and security checks. Copy-paste into settings.json. Community-maintained.
Deno — Secure Runtime for AI Agent Scripts
Modern JavaScript/TypeScript runtime with built-in security, native TypeScript support, and web-standard APIs. Deno runs AI agent scripts safely with permission controls.
AI Code Review Checklist — Ship Better with AI Help
Structured checklist for reviewing AI-generated code before merging. Covers correctness, security, performance, maintainability, and AI-specific pitfalls like hallucinated imports and phantom APIs.
SWE-agent — Autonomous GitHub Issue Solver
SWE-agent lets LLMs autonomously fix GitHub issues and find security vulnerabilities. 18.9K+ stars. State-of-the-art on SWE-bench. MIT.
AI 驱动的安全防护
AI-Powered Security
AI security tools in 2026 integrate directly into the development workflow, catching vulnerabilities before they reach production. Static Analysis — AI-powered code scanners that understand context, not just patterns. They detect OWASP Top 10 vulnerabilities, injection risks, authentication flaws, and data exposure issues with dramatically fewer false positives than traditional SAST tools.
Threat Modeling — AI agents that analyze your architecture, identify attack surfaces, and generate threat models automatically. They understand common patterns (API gateways, microservices, serverless) and suggest mitigations specific to your stack. Dependency Auditing — AI tools that scan your dependency tree for known vulnerabilities, assess actual exploitability (not just CVE scores), and generate patching plans with minimal breaking changes.
Penetration Testing — AI-assisted pentesting tools that crawl your application, identify potential entry points, and generate proof-of-concept exploits for authorized security testing. Incident Response — AI agents that analyze logs, correlate events, and suggest remediation steps during security incidents.
Security is no longer a gate at the end of the pipeline — it's an AI agent sitting in every developer's terminal.
常见问题
Can AI find security vulnerabilities in code?+
Yes, and increasingly well. AI security tools combine static analysis with semantic understanding — they grasp data flow, authentication context, and business logic in ways that pattern-matching tools cannot. They excel at finding injection vulnerabilities, broken access controls, and data exposure risks. However, they should complement, not replace, human security review for critical systems.
What is shift-left security?+
Shift-left security means integrating security testing earlier in the development process — at the code editor level, not just in CI/CD pipelines. AI agent skills on TokRepo enable this: install a security scanning skill, and your AI assistant checks for vulnerabilities as you write code, before you even commit.
Are AI security tools reliable enough for production?+
Modern AI security tools have dramatically reduced false positive rates compared to traditional scanners. They're reliable for automated scanning and triage, but critical findings should always be verified by security engineers. The best approach: use AI for continuous scanning and initial triage, humans for validation and remediation planning.