MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

llm-security

llm-security is an data AI skill with a core value of Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM. It helps developers solve real-world problems in the data domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM

Last verified on: 2026-10-06

Quick Facts

Category data
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/llm-security && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/llm-security/SKILL.md -o ./skills/llm-security/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and agent-compliance engineering per OWASP LLM

🎯 Best For

  • Security auditors
  • DevSecOps teams
  • Compliance officers
  • Claude users
  • Data professionals

💡 Use Cases

  • Auditing dependencies for known CVEs
  • Scanning API endpoints for auth gaps
  • Data pipeline auditing
  • Query optimization

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply llm-security to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

Can this replace a dedicated SAST tool?

AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.

How do I install llm-security?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/llm-security/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Only scanning surface-level issues

Deep security review requires understanding your app architecture, not just regex patterns.

Ignoring data quality

AI analysis inherits all data quality issues — profile your data first.

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