Apply OWASP LLM Top 10 controls to LangChain workflows and agent tools.
npx skills add https://github.com/crozzbite/DnDApp --skill owasp-llm
Please help me install this Agent Skill. Skill: owasp-llm Source: https://github.com/crozzbite/DnDApp/tree/main/.agent/skills/owasp-llm Command: npx skills add https://github.com/crozzbite/DnDApp --skill owasp-llm
AI/LLM deployments face risks from prompt manipulation, data exposure, and unsafe tool usage. OWASP LLM Top 10 provides a structured, industry-aligned set of controls to mitigate these threats in AI workflows.
Apply the OWASP LLM Top 10 controls to your LangChain prompts and agent tools to harden your AI applications.
High-intent search queries and answers about installing and using this skill.
To prevent prompt injection in LangChain workflows, apply OWASP LLM Top 10 controls that detect malicious patterns and sanitize inputs. This Skill implements threat modeling and pattern detection to secure chat agents and data pipelines against manipulation.
OWASP LLM Top 10 controls for AI security are a structured set of mitigations for data exposure, DoS attacks, and unsafe tool usage. This Skill applies these controls across LLM outputs and agent tools to ensure secure automated decision systems.
Yes, you can sanitize LLM outputs in automated decision systems using this Skill's output sanitization patterns. It applies OWASP LLM controls to prevent data exposure and misuse across agent tools and data pipelines.
You secure agent tools against misuse by applying OWASP LLM Top 10 controls for secure tool usage. This Skill provides practical patterns to mitigate risks in AI applications, protecting LangChain flows from unsafe tool execution.
Yes, this Skill works for threat modeling in AI data pipelines by applying OWASP LLM Top 10 controls. It satisfies requirements for pattern detection and input sanitization to prevent data exposure and misuse in automated workflows.
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