Depth assessment of whether an AI system is high-risk under Art. 6 of the EU AI Act, grounded in the Commission's draft Art. 6(5) classification guidelines (general principles + Annex I + Annex III). Covers the Annex I product-safety route, all eight Annex III areas with worked examples, the Art. 6(3) exception and its profiling re-exception, and the Art. 25 quasi-provider trap. Outputs a structured decision block, a practitioner memo, and a JSON interchange artefact.
日本語の概要は準備中です。原文の説明を表示しています。
lawve-ai/awesome-legal-skills☆ 8572026年10月3日 更新
Remediating known failure patterns automatically from Triage diagnoses and Beacon alerts: runbooks with safety-tier classification, staged verification, rollback. Use for automated remediation.
日本語の概要は準備中です。原文の説明を表示しています。
simota/agent-skills☆ 922026年10月12日 更新
Use when a task needs the judgment of a correctional services manager (warden/facility administrator) — deciding how to respond to a staffing cut against safety risk, reviewing an inmate classification or housing decision, evaluating a use-of-force incident, deciding whether restrictive housing placement is justified and time-limited, or weighing security spending against programming budget under fiscal pressure.
日本語の概要は準備中です。原文の説明を表示しています。
wonsukchoi/domain-experts☆ 202026年10月12日 更新
Audit demand forecasting models and inventory optimization logic -- forecast accuracy (MAPE, bias), safety stock calculations, reorder point strategies (EOQ, ROP, min/max), ABC/XYZ classification, demand signal pipelines, and multi-location network optimization..
日本語の概要は準備中です。原文の説明を表示しています。
tinh2/skills-hub-registry☆ 192026年9月5日 更新
Analyze a workplace safety incident tracking system for incident classification accuracy, root cause analysis depth, OSHA 300 log recordkeeping compliance, trend analysis capabilities, and leading indicator identification..
日本語の概要は準備中です。原文の説明を表示しています。
tinh2/skills-hub-registry☆ 192026年9月5日 更新
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
jcasnellie69/homelab-config☆ 22026年10月12日 更新