AI DevKit · Analyze and simplify existing implementations to reduce complexity, improve maintainability, and enhance scalability. Use when users ask to simplify code, reduce complexity, refactor for readability, clean up implementations, improve maintainability, reduce technical debt, or make code easier to understand.
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Low
Low-risk findings worth noting
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The workflow first gathers context and may run a memory search (`npx ai-devkit@latest memory search --query ...`) but no step reads arbitrary outsider-authored free text (e.g., emails, tickets, feeds, GitHub/Jira content) into the LLM without first selecting a specific codebase/target, so the required runtime does not expose an agent to outsider-authored prompt-injection text by default.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The workflow contains a runtime command that fetches and executes remote code via npx ("npx ai-devkit@latest memory search --query \"<target area>\" --tags \"simplify\""), which downloads and runs external package code during skill execution.
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