「condition」の検索結果

Look up NHS England genomic tests for rare and inherited diseases. Use this skill whenever a clinician asks what genetic test to order for a condition, which genes are covered for a specific diagnosis, what commissioning category a genomic test falls under (Core, Specialised, or Highly Specialised), or which tests belong to a specialty group (Neurology, Cardiology, Endocrinology, etc.). Also trigger for questions like what panel is used for a condition, whether there is an NHS test for something, what the R number is for a condition, or whether anything has changed in the genomic test directory. Source: NHS England National Genomic Test Directory for Rare and Inherited Disease v9.0 (April 2026).

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。

Detects and responds to OAuth token theft and replay attacks in cloud environments, focusing on Microsoft Entra ID (Azure AD) token protection, conditional access policies, and sign-in anomaly detection. Covers access token theft, refresh token replay, Primary Refresh Token (PRT) abuse, and pass-the-cookie attacks. Activates for requests involving OAuth token theft detection, token replay prevention, Azure AD conditional access token protection, or cloud identity attack investigation.

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。

Flexible Bedingungssprache für Ziele, Prompts und Aufträge. Übersetzt Bedingungen, Zeitpunkte und Reihenfolge-Abhängigkeiten in prüfbare Gates, damit ein Teilschritt erst nach belegter Freigabe ausgeführt wird. Immer verwenden bei /condition, /if, /if-only, /when, /after, /and oder /or sowie bei Formulierungen wie "erst wenn", "sobald", "nur falls", "nachdem", "warte bis", "danach" oder "vorher nicht". Auch verwenden, wenn mehrere Teilziele voneinander abhängen oder ein Goal eine spätere Freigabe enthält.

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。

Replace arbitrary timeouts with condition polling for reliable async tests

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。

MSBuild property definition patterns: conditional defaults, composition/concatenation, path normalization, trailing slash handling, TFM detection helpers, and property evaluation order. Only activate in MSBuild/.NET build context. USE FOR: diagnosing and fixing MSBuild property definition issues in .props or .csproj files, reviewing and fixing shared property configuration anti-patterns, fixing DefineConstants or NoWarn being overwritten instead of appended, fixing unconditional property assignments that prevent project-level overrides, fixing unquoted conditions that fail when properties are empty, fixing hardcoded paths that break cross-platform builds, setting property defaults that can be overridden, understanding property evaluation order and last-write-wins semantics. DO NOT USE FOR: props vs targets placement (use directory-build-organization), item operations (use item-management), target structure (use target-authoring), general anti-patterns (use msbuild-antipatterns), non-MSBuild build systems.

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。

tespit etme (s) and responds to OAuth token theft and replay attacks in cloud environments, focusing on Microsoft Entra ID (Azure AD) token protection, conditional access policies, and sign-in anomaly Tespit. Covers access token theft, refresh token replay, Primary Refresh Token (PRT) abuse, and pass-the-cookie attacks. Activates for requests involving OAuth token theft Tespit, token replay prevention, Azure AD conditional access token protection, or cloud identity attack investigation.

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。

Web race condition exploitation — TOCTOU, single-packet attack, limit overrun, parallel race testing

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。

Check the working conditions of a Japanese job offer item by item against the conditions an employer states in writing, compare the offer letter or 労働条件通知書 with the job posting and what was said in interviews, and separate what is confirmed in writing from what is still only verbal. Use when a user has received an offer, a working-conditions notice, or an employment contract and wants to know what is missing, what conflicts with earlier statements, and what to confirm before the acceptance deadline; do not use to rule on whether the terms are lawful, to decide whether to accept or decline, or to contact the employer on the user's behalf.

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。

Analyzes pooled CRISPR screens with MAGeCK (Li et al 2014), covering count generation (mageck count), the RRA two-condition workflow (mageck test using alpha-RRA over per-sgRNA negative-binomial p-values), the MLE multi-condition workflow (mageck mle with explicit design matrix and beta-score output), normalization choice (median vs total vs control-sgRNA vs spike-in), sgRNA efficiency injection, paired-sample testing, time-course design, drug-screen versus dropout-screen design matrices, MAGeCKFlute and MAGeCK-VISPR downstream visualization, and decision logic for when to use MAGeCK vs JACKS / BAGEL2 / drugZ / Chronos. Use when running a fresh CRISPR screen analysis, picking RRA vs MLE for the experimental design, choosing a normalization method from QC signatures, debugging MLE convergence failure or NaN beta scores, comparing MAGeCK output across tools, or building a batch-aware multi-cell-line / multi-condition MLE design matrix.

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。

Detect and exploit race condition vulnerabilities in web applications using Turbo Intruder's single-packet attack technique to bypass rate limits, duplicate transactions, and exploit time-of-check-to-time-of-use flaws.

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。

Detects and responds to OAuth token theft and replay attacks in cloud environments, focusing on Microsoft Entra ID (Azure AD) token protection, conditional access policies, and sign-in anomaly detection. Covers access token theft, refresh token replay, Primary Refresh Token (PRT) abuse, and pass-the-cookie attacks. Activates for requests involving OAuth token theft detection, token replay prevention, Azure AD conditional access token protection, or cloud identity attack investigation.

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。

Hunting skill for race condition vulnerabilities. Built from 12 public bug bounty reports including modern HTTP/2 single-packet attack cases (James Kettle DEF CON 2023 'Smashing the State Machine'; RyotaK / Flatt Security 10,000-request first-sequence-sync expansion 2024). Covers coupon double-redemption, gift-card double-spend, MFA-OTP-validate race, account-create race, faucet/crypto token double-mint, email-activation race, vote/upvote inflation, password-reset token race, rate-limit bypass via concurrent requests. Use when hunting race conditions, TOCTOU bugs, MFA-bypass-via-timing.

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。

Race condition (TOCTOU) testing checklist: identifying timing windows, Burp Suite Turbo Intruder, Last-Byte sync technique, rate limit bypass, double-spend attacks, and concurrent request exploitation. Use for web app race condition testing or bug bounty time-of-check-to-time-of-use bugs.

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。

本格的な開発に進む前に小さな試作品を動かし、アイデアの実現性や方式の違いを検証して、実行結果を根拠に採用・調整・見送りの判断をまとめるスキル。

• アイデアの実現性を確かめたいとき
• 二つの方式を同じ条件で比較
• 本格開発前の例外条件の検証

長期的な目標に向けて複数のサブエージェントの作業を調整し、利用者との対話を続けながら、次の仕事にも役立つ作業環境や規約の改善を進めるスキル。

• 長期目標に向けて担当を調整したいとき
• 裏で作業を進めながら対話を続けたいとき
• 共通の規約や作業環境を改善したいとき

コマンド実行やファイル編集、入力・終了時のイベントを条件で検知し、危険な操作や機密ファイルの変更に警告・ブロックを設定するルールを作るスキル。

• 危険なコマンドをブロックしたいとき
• 機密ファイルの編集に警告したいとき
• 編集時のデバッグコード検知

曖昧な機能要望や影響の大きい変更を、作業範囲・前提・リスクとともに整理し、期待する動作と検証方法が明確な受け入れ基準や引き継ぎ資料にまとめるスキル。

• 曖昧な機能要望を整理したいとき
• 認証変更やデータ移行の受け入れ基準作成
• 別のエージェントやチームへの実装引き継ぎ

Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal that should be regime-aware.

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。

Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.

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。

Detect and respond to OAuth token theft and replay in Microsoft Entra ID (Azure AD), covering access token theft, refresh token replay, Primary Refresh Token (PRT) abuse, pass-the-cookie attacks, and Token Protection conditional access policies. Use for impossible-travel or anomalous token-usage alerts, suspected session hijacking, sign-in log analysis, or configuring token-binding defenses in Azure/M365.

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。

Writes and tunes Falco rule syntax for container escape detection - conditions, macros, lists, priorities, and output fields - covering host filesystem mounts, sensitive host path access, kernel module loading, and privileged capability abuse, including how to drive down false positives. Use when authoring or tuning a specific Falco rule for breakout behaviour, or triaging a noisy escape-related Falco alert. Keywords: Falco rule, macro, list, condition, priority, falco_rules.local.yaml, tuning, false positive. Do not use for deploying and operating Falco itself - use detecting-container-runtime-threats-with-falco; for tool-agnostic escape signals use detecting-container-escape-attempts.

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。

Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.

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。

Classify a proposed AI use case against your registry — approved, conditional, or not approved — and produce required conditions and next steps. Flags cross-plugin handoffs to privacy or product counsel. Use when user says "triage this use case", "can we use AI for X", "is this approved", "what do we need to do to use AI for X".

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。

Run an AI impact assessment — structured intake, risk analysis, regulatory classification per regime in scope, policy consistency diff, and recommendation with conditions. Uses the house-style structure learned from the seed impact assessment in `~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md`. Use when user says "impact assessment for", "assess this AI use case", "run an AIA", "generate an AIA", "we need to document this AI system", "AI risk assessment for X", or follows a conditional triage result.

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。