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Use when reviewing, designing, or modifying Java enterprise systems that use AI, LLMs, AI agents, RAG, tool calling, workflow automation, or model-based decision support and need EU AI Act regulatory awareness. This should trigger for requests such as Review a Java AI system for EU AI Act controls; Design governance for an AI agent with enterprise tools; Add human oversight and auditability to LLM workflows; Assess RAG or model-driven decision support before production release. Part of Plinth To
Passed 19 of 22 test cases with the skill, and 13 of 22 without it.
and 4 more in the full report
6 fixed13 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are preparing to deploy a Spring Boot microservice that uses Spring AI and tool-calling to process job applicant resumes and recommend candidate interview rankings. Before we roll this out, please conduct a compliance engineering review on our codebase. Deliver a structured review report that includes risk classification, identified technical governance gaps, required architectural safeguards (such as human oversight and audit logging), and a prioritized action plan for our team.
| Checked | Without skill | With skill |
|---|---|---|
| Includes a section for Questionnaire Findings. | Missed | Passed |
| Includes a section for Evidence Inventory. | Missed | Passed |
| Classifies the resume evaluation system as high-risk under EU AI Act rules for employment. | Passed | Passed |
The instructions your model reads when the skill loads.
Use this Skill to review Java enterprise applications that include AI capabilities, AI agents, tool-calling workflows, RAG systems, workflow automation, or model-driven decision support.
Apply this Skill to determine what engineering controls are required before the system is released, deployed, or connected to corporate systems of record.
This Skill is not legal advice. It helps Java engineers, architects, tech leads, platform teams, and reviewers identify when EU AI Act concerns may apply and how to translate policy expectations into enterprise architecture controls such as policy gates, human oversight, least privilege, audit evidence, monitoring, escalation workflows, and approval processes.
The purpose of this Skill is to increase awareness of potential gaps in the system and create engineering evidence for qualified review. The response produced by this Skill does not represent legal advice, a legal opinion, or a final regulatory determination.
The main question is:
When does a Java application or AI agent require EU AI Act-aware engineering controls, and what should developers build differently?
External reference: European Parliament legislative resolution TA-9-2024-0138.
EU AI Act chapters summary reference: EU AI Act chapters summary.
Java engineering examples reference: EU AI Act engineering examples.
Questionnaire asset: EU AI Act engineering review questionnaire.
Report template asset: EU AI Act engineering review report template.
This Skill applies to:
An AI System generates information, recommendations, classifications, rankings, predictions, or content.
test cases passed, vs 13 / 22 without
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