A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

Semia, security audit for AI agent skills.

Runtime Firewall for AI agents which catches the rogue tool call before it runs. Dangerous commands, secret leaks, prompt injection. For Claude Code, Codex and framework SDKs

AI Agent Skill Security Scanner — Detects malicious code, prompt injection, data exfiltration, and supply chain threats in SKILL.md files. Built by Evolution Unleashed.

Composable security scanning harness for agent skills

Open-source CLI scanner for agentic AI components such as skills, MCP servers, system prompts

Security scanner for AI agent skills and MCP tool bundles — prompt injection, IOC matching, malware detection, ML classifier

Static security scanner for SKILL.md files and AI agent skill packages. 25+ detection rules across 5 categories. Zero dependencies, CI/CD ready.

Security scanner for AI agent SKILL.md files. Static analysis, LLM behavioral prediction, and Docker Sandbox execution.

A safer way to run autonomous CLI agents on your own computer. Open-source, MIT, community-driven.

Free agent security tools for OpenClaw -- ShellGuard Scanner + Token Audit

CLI to spot risky AI skill packages before you use them. Scans for injection, exfiltration, supply chain, and other threats.

Enable AI agents to autonomously create, evaluate, and evolve skills across any marketplace without user intervention.

Safety scanner for Claude Code SKILL.md files, scripts, templates, and references.

Scan agent skills and plugins for malware and prompt injection before an agent loads them. Offline GitHub Action and CLI. The published projection of OpenTrApp's Skill Firewall.

Scan-gated safety for Agent Skills before they reach Codex, Claude Code, CI, or a registry.

Security & trust vetting for AgentSkills: mandatory open-source scanner gate (Cisco, NVIDIA SkillSpector, Snyk, sentry), OWASP Top 10 for Agentic Applications mapping, and tiered review reports.

ClawHub 内置安全扫描的本地实现 | 静态正则分析 + LLM 五维度安全评估，专为 AI Agent 技能/插件设计的安全检测工具

Enforce architecture standards and maintainer workflows for AI coding agents to prevent code duplication, verify changes, and control project dependencies.

AST-based evasion detection for OpenClaw skills. Catches obfuscation, dynamic eval, and encoding tricks that regex misses.