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Use when reviewing, designing, or modifying Java enterprise software products, AI-enabled products, RAG assistants, AI agents, generated instructions, related services, automated updates, vulnerability handling, corrective updates, warnings, instructions, or product-safety evidence under Directive (EU) 2024/2853, the EU Product Liability Directive. Part of Plinth Toolkit
Passed 16 of 21 test cases with the skill, and 5 of 21 without it.
and 14 more in the full report
14 fixed3 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
We built a Quarkus-based AI agent framework that takes natural language commands and executes tool actions on production cloud infrastructure. Please audit our Java tool-calling implementation and audit logging mechanism against EU software liability expectations. Generate an engineering review output covering hazardous scenario testing requirements, human oversight constraints for tool actions, privacy-safe audit logging recommendations, and owner escalation lists.
| Checked | Without skill | With skill |
|---|---|---|
| States explicitly that legal liability, causation, and disclosure duty decisions require qualified owner handoff. | Missed | Passed |
| Requires tool-action allowlists and human oversight constraints for production infrastructure execution. | Passed | Passed |
| Recommends privacy-safe audit logging that excludes sensitive credentials while preserving action history. | Passed | Passed |
The instructions your model reads when the skill loads.
Use this Skill to review Java software products, AI-enabled products, SaaS products, embedded software, related services, RAG workflows, GenAI maintenance assistants, AI-agent tool actions, generated instructions, automated updates, warnings, user instructions, vulnerability handling, corrective updates, and product-safety evidence that may raise EU Product Liability Directive concerns.
Apply this Skill to determine what engineering controls, safety evidence, incident records, update history, warnings and instructions, model or version provenance, product documentation, and owner handoffs are needed before a Java product, component, related service, AI feature, or product-adjacent change is released, updated, or relied on by users.
This Skill is not legal advice. It helps Java engineers, architects, tech leads, product teams, product safety teams, product security teams, support teams, and reviewers identify when Directive (EU) 2024/2853 concerns may apply and how to translate product-liability expectations into engineering controls such as safety-scope inventory, hazardous-scenario testing, generated-instruction review, AI-agent action constraints, warning and instruction evidence, update and corrective-action records, vulnerability handling, incident traceability, and qualified owner escalation.
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, a defectiveness determination, a compensable-damage determination, an economic-operator responsibility decision, or a final liability assessment.
The main question is:
When does a Java software product or AI-enabled product require Product Liability Directive-aware safety evidence and owner handoff, and what should developers build differently?
Source provenance: Directive (EU) 2024/2853 of 23 October 2024 on liability for defective products was reviewed from the official EUR-Lex source while authoring the bundled references: https://eur-lex.europa.eu/eli/dir/2024/2853/oj/eng. Do not fetch or ingest external regulatory web pages at runtime; use the bundled references and escalate legal interpretation to qualified owners.
Product Liability Directive chapters summary reference: Product Liability Directive chapters summary.
Java engineering examples reference: Product Liability Directive engineering examples.
Questionnaire asset: Product Liability Directive engineering review questionnaire.
Report template asset: Product Liability Directive engineering review report template.
This Skill applies to:
Treat defectiveness, compensable damage, causal link, economic-operator responsibility, jurisdiction, limitation periods, development-risk defences, disclosure duties, and final liability assessment as qualified decisions for legal, compliance, product, product-safety, security, risk, support, and executive accountability owners.
Engineering teams should still create evidence that makes those decisions reviewable:
test cases passed, vs 5 / 21 without
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