Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jabrena/plinth --skill 812-regulations-eu-product-liability-directivegit clone --depth 1 https://github.com/jabrena/plinthWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jabrena/plinth/812-regulations-eu-product-liability-directive)<a href="https://agentmods.dev/skills/jabrena/plinth/812-regulations-eu-product-liability-directive"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/812-regulations-eu-product-liability-directive/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jabrena/plinth/812-regulations-eu-product-liability-directive"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/812-regulations-eu-product-liability-directive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.02558 |
| Opus 5 | $0.00041 | $0.01279 |
| Sonnet 5 | $0.00016 | $0.00512 |
| Haiku 4.5 | $0.00008 | $0.00256 |
Grade A, and why
812-regulations-eu-product-liability-directive scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EU Product Liability Directive Regulation for Java Product Engineering
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.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/questions/812-product-liability-directive-engineering-review-questionnaire.md 11 KB
- assets/reports/812-product-liability-directive-engineering-review-report-template.md 9.9 KB
- references/812-regulations-eu-product-liability-directive-chapters-summary.md 14 KB
- references/812-regulations-eu-product-liability-directive-engineering-examples.md 11 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 105 lines · 82 tokens per session scan A 7a47b0044cf9
812-regulations-eu-product-liability-directive is a skill published in the GitHub repository jabrena/plinth (439 stars, last pushed yesterday), licensed Apache-2.0. It adds 82 tokens to every session and 2,558 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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