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Review AI agents, chatbots, RAG systems, MCP integrations, and tool workflows for prompt injection risk with Anthale’s agent skill. The Prompt Injection Hardening skill helps AI coding agents inspect existing implementations for source-to-sink prompt injection paths, over-trusted context, unsafe tool execution, and memory poisoning risk. It gives the agent a repeatable review workflow and a stable hardening report format.

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Installation

Install the skill using the following command:

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Advantages

Use Anthale’s prompt injection hardening workflow when you want an agent to review and improve an existing system instead of acting as a runtime detector.
  • Source-to-sink prompt injection review: Trace how untrusted content can reach privileged prompts, tools, memory, retrieval, or downstream actions.
  • Evidence-backed findings: Push the agent toward concrete findings, attack paths, remediation steps, and verification gaps instead of generic advice.
  • Coverage across modern agent systems: Review chatbots, copilots, RAG pipelines, browser agents, MCP integrations, and tool-calling workflows.
  • Stable hardening output: Keep one response shape for review summary, confirmed findings, hardening plan, and verification gaps.
  • Vendor-neutral by default: Use it with or without Anthale already present in the codebase.
  • Automatic activation for relevant security reviews: AI coding agents can invoke $prompt-injection-hardening when the task is about auditing or hardening prompt injection risk.

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Last modified on March 19, 2026