「eu」の検索結果

Operating skill for the Equinox JAX neural-network and PyTree library.

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。

Use DeepMind dm-haiku as a JAX neural-network library for transforms, modules, state/RNG, layers, advanced JAX interop, and optional Flax interop.

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。

Route BertViz Transformer attention visualization, neuron-view, notebook, and HTML export workflows.

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。

Ingest a CVE writeup, blog post, advisory, or GitHub repo into the wiki - fetch, dedup via sources:, update the right technique/tool page(s), re-index. Generic knowledge only; never client data.

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。

Post-engagement knowledge harvest AND harness retrospective - after a box/bugbounty/pentest/CTF is completed, first diff how the engagement was EXECUTED against the skills/hooks that governed it (what discipline was skipped) and improve the harness, then sweep the whole engagement for GENERIC reusable knowledge NOT already in wiki/ and land it via the leak-gated stage->promote pipeline. Use at close-out or when asked to "extract learnings", "what did we learn", "harvest lessons into wiki", "distill this engagement", "post-mortem into the wiki", "what did we do wrong", "improve the harness from this box".

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。

Capture a Burp Suite Repeater request/response as a PoC image (targets/<eng>/poc/) by driving the Burp MCP + the Kali GUI. Replays a request in a Repeater tab, sends it, and grabs the request+response panes - a Burp-native PoC (client report / CTF writeup). Use when you want the evidence to come from Burp rather than a curl/terminal card, or whenever you drive a target through Burp and need the images. Pairs with hunt-burp.

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。

Blender PBR and stylized material creation for metal, wood, concrete, fabric, glass, dirt, rust, and procedural shaders. Use for look development, material reuse, and production shading in Blender via MCP.

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。

Blender Geometry Nodes for procedural modeling, scatter systems, vegetation, buildings, pipes, cables, and reusable node groups. Use for procedural asset generation and instancing pipelines via MCP.

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。

Frutiger Aero art direction for Blender with glossy skeuomorphism, aqua UI cues, nature-tech optimism, and mid-2000s futurism.

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。

Cosmic, eldritch, and Lovecraftian horror art direction for Blender with non-Euclidean cues, impossible scale, and incomprehensible forms.

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。

Generate/create/write PromQL queries, metric expressions, alerting rules, recording rules, Prometheus dashboards.

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。

Generate/create/scaffold azure-pipelines.yml, stages, jobs, steps, or reusable templates.

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。

Main app unit testing patterns (BaseUnitTest, BDD naming, mockito-kotlin, AssertJ, StateFlow/LiveData capture, coroutine dispatchers). Use when writing, editing, exploring, debugging, or reviewing unit tests in the store management app. For POS (WooPos*) tests, use the `pos-tests` skill instead.

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。

POS unit testing patterns (WooPosCoroutineTestRule, runTest, advanceUntilIdle, mockito-kotlin, event bus mocking, analytics verification). Use when writing, editing, exploring, debugging, or reviewing unit tests for POS (WooPos*) code. NOT for main store app tests — use the `store-tests` skill instead.

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。

Vendor certification acceptance criteria and equivalence mapping. Covers ISO 27701, SOC 2 Privacy, APEC CBPR, EU Code of Conduct evaluation, certification scope analysis, gap supplementation requirements, and cross-framework equivalence assessment.

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。

Guides implementation of UK international data transfer mechanisms post-Brexit including the International Data Transfer Agreement (IDTA), UK Addendum to EU SCCs, UK adequacy assessments, and ICO transfer risk assessment tool. Keywords: UK IDTA, UK addendum, ICO TRA, post-Brexit transfers, UK GDPR.

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。

Guides the post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers destination country surveillance law assessment, European Essential Guarantees evaluation, and supplementary measures determination. Keywords: TIA, transfer impact assessment, Schrems II, EDPB recommendations, supplementary measures.

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。

Implements data protection compliance for whistleblowing systems under EU Directive 2019/1937 and GDPR. Covers anonymous reporting channels, identity protection for whistleblowers and accused persons, retention limits, access restrictions, and retaliation prevention. Addresses national transpositions and DPA guidance. Keywords: whistleblower, Directive 2019/1937, anonymous reporting, identity protection, retaliation, retention, reporting channel.

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。

Guides implementation of EU Standard Contractual Clauses under Commission Decision 2021/914 across all four modules (C2C, C2P, P2P, P2C). Covers clause-by-clause completion, Annex I-III drafting, and SCC module selection. Keywords: SCCs, standard contractual clauses, module selection, data transfers, Annex completion.

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。

Implements the right to be forgotten in search engines under GDPR Article 17 and the CJEU Google Spain ruling (C-131/12). Covers delisting request procedures, criteria assessment balancing privacy against public interest, and geographic scope determination. Activate for right to be forgotten, search delisting, Google Spain, de-indexing queries.

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。

Classifies personal vs non-personal data per GDPR Art. 4(1) definition test with decision tree for borderline cases. References Breyer v Germany CJEU C-582/14 dynamic IP ruling and WP29 Opinion 4/2007. Keywords: personal data, GDPR Art 4, data classification, Breyer ruling, identifiability test, PII.

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。

Addresses healthcare AI privacy at the intersection of HIPAA and the EU AI Act for clinical decision support systems. Covers training data PHI handling, model transparency and explainability, patient rights in algorithmic decisions, FDA/OCR regulatory coordination, and bias monitoring. Keywords: healthcare AI, HIPAA, AI Act, clinical decision support, PHI training data, model transparency.

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。

Guides DPIA for health and medical data processing covering Art. 9(2)(h)-(j) exemptions, HIPAA crosswalk for transatlantic operations, clinical trial data protection under EU CTR 536/2014, and genetic data specifics under Art. 9(1). Activate for healthcare systems, clinical research, health apps, or medical device data. Keywords: health data, DPIA, Art. 9, clinical trial, genetic data, HIPAA, medical records, special category.

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。

Guide for managing consent for scientific research under GDPR Article 89 and Recital 33 broad consent provisions. Covers ethical review board coordination, purpose evolution management, appropriate safeguards including pseudonymization, and the interplay between consent and other lawful bases for research processing.

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。