Llm Attacks Security
Helps with LLMs, security as part of building AI and machine learning applications workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add llm-attacks-security npx -- -y @trustedskills/llm-attacks-security
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"llm-attacks-security": {
"command": "npx",
"args": [
"-y",
"@trustedskills/llm-attacks-security"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill assesses and simulates potential attacks against Large Language Models (LLMs). It can identify vulnerabilities in prompts, analyze responses for malicious outputs, and test the robustness of LLM defenses. The goal is to proactively improve the security posture of AI systems by uncovering weaknesses before they are exploited.
When to use it
- Security Audits: Evaluate an LLM-powered application's susceptibility to prompt injection or other attacks.
- Red Teaming: Simulate adversarial scenarios to test and strengthen LLM defenses.
- Prompt Engineering Validation: Ensure newly designed prompts are secure and don’t introduce vulnerabilities.
- Defensive Strategy Development: Identify attack vectors to inform the creation of robust security measures.
Key capabilities
- Attack Simulation
- Vulnerability Identification
- Response Analysis
- Robustness Testing
Example prompts
- "Simulate a prompt injection attack against this LLM: [prompt]"
- "Analyze this response for signs of malicious output: [response]"
- "Test the robustness of this LLM to adversarial inputs."
Tips & gotchas
This skill requires a strong understanding of LLM security principles and potential attack vectors. Results should be interpreted carefully, as simulated attacks may not perfectly reflect real-world scenarios.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.