audit-llm-prompt-injection
CommunityAudit LLM prompts for prompt injection risks.
Software Engineering#security#llm#api-security#system-prompt#code-audit#prompt-injection#data-exposure
AuthorShankulkarni
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Audit apps that call LLM APIs for prompt injection, key exposure, and unsafe output handling in modern software stacks.
Core Features & Use Cases
- Identify unsanitized user input being concatenated into prompts and highlight injection surfaces in OpenAI, Anthropic, and other LLM integrations.
- Ensure system prompt isolation by validating proper separation between system and user content, and flag risky prompt construction patterns.
- Use Case: A web service that forwards user messages to an LLM without validation; this skill helps you locate where to apply input validation, role separation, and output sanitization.
Quick Start
Analyze a code path that builds prompts from user input and provide concrete remediation steps to mitigate prompt injection.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: audit-llm-prompt-injection Download link: https://github.com/Shankulkarni/vibe-audit/archive/main.zip#audit-llm-prompt-injection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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