「audit」の検索結果

本技能构建 AI 辅助任务的结构化审计轨迹：工具被要求做什么、提供了什么材料、产出了什么、输出如何被验证、最终依赖了什么。它记录工作流以供监督和日后审查，不就特权或披露作出裁定，因此记录保持准确而非自我服务。

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。

AI合同风控官 - 智能合同审查与法律风险检测专家级工具。支持多国法律体系（中国/美国/英国/新加坡/德国/日本/澳大利亚/加拿大/欧盟），可批量处理合同文档。 当用户需要：合同审查、合同风险检测、合同条款分析、法律文书审核、采购合同审核、销售合同审查、 劳动合同检查、合作协议评审、违约风险提示、合同比对、法务辅助、合同审计、批量合同审核、 外贸合同审查、国际合同合规、NDA保密协议审核、服务合同审查、租赁合同检查、股权转让协议审核、 借款担保合同审查 时触发此技能。

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。

AI公司首席法务官技能包。合同治理、知识产权保护、AI专项法务（算法审计/AIGC合规/数据供应链）。覆盖GDPR/CCPA跨境数据合规，新增AI伦理委员会架构、合规分级目标、数据保护双线接口、AIGC内容合规审查链。

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。

基于《广告法》第11条及2026年第20号公告《广告引证内容执法指南》（正式版），对广告文案引证内容执行六维度28条规则合规审查，输出结构化风险报告。输入广告文案文本，即可自动完成引证提取→规则匹配→风险定级→报告生成全流程。

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。

Ensure HIPAA compliance when handling PHI (Protected Health Information). Use when writing code that accesses user health data, check-ins, journal entries, or any sensitive information. Activates for audit logging, data access, security events, and compliance questions.

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。

Applies game theory to multi-agent coordination protocols with advisory claims, repeated interactions, daemon-mediated correlation, and deviation penalties. Use for Nash equilibrium checks, folk-theorem cooperation analysis, correlated-equilibrium routing, and price-of-anarchy audits in strategic agent systems. NOT for consumer pricing, card-game strategy, or general microeconomics outside agent coordination.

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。

Analyze design trends and recommend appropriate styles, color palettes, and typography systems for your project based on current design movements. NOT for accessibility auditing or full design system creation.

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。

Cloudflare Pages and Workers deployment checklist for wrangler deploys, secret audits, D1 migrations, Worker-compatible SDK checks, and browser-auth verification. Use when shipping Cloudflare changes to production. NOT for general CI/CD architecture, non-Cloudflare deployments, or post-launch UX QA.

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 practical path from 'we have no design system' or 'we have a mess' to a real, functional design system. Component inventory, design token extraction, headless UI adoption (Radix, React Aria, Headless UI), migration order of operations, and the assessment-to-rollout pipeline. Activate on 'design system from scratch', 'bootstrap design system', 'no design system', 'design system migration', 'headless UI adoption', 'component audit', 'design token extraction', 'design system strategy'. NOT for building specific components once a system exists (use design-system-creator), not for generating token files/configs (use design-system-generator).

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 when designing or fixing a Content Security Policy on a real site, choosing between nonce-based and hash-based CSP, adding strict-dynamic, debugging "Refused to execute inline script" errors, deploying CSP in report-only mode first, configuring report-to / report-uri, or auditing an existing policy for unsafe-inline / unsafe-eval / wildcards. Triggers: "CSP blocks legitimate inline script", strict-dynamic, nonce-{RANDOM}, sha256-{HASH}, object-src none, base-uri none, frame-ancestors, Trusted Types, X-Content-Security-Policy obsolete, report-only vs enforced. NOT for general HTTP security headers (HSTS, COOP/COEP), Trusted Types deep dive, CORS configuration, or building a WAF.

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。

Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.

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。

Analyze bonded agent systems, escrow workflows, slashing rules, oracle trust, Sybil cost, and front-running risk in protocols where agents post bonds or stake reputation. Use for collateral sizing, griefing analysis, dispute design, and bonded-agent security reviews. NOT for smart contract auditing, DeFi tokenomics, blockchain consensus design, or trading strategy.

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。

Pack an EXTERNAL repository into one AI-friendly file (markdown/xml/json) for third-party analysis, security audits, or handoff. Do NOT use for the current project — it's already read lazily.

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。

Reviews a GitHub PR with a shallow correctness/security/breaking/AI-slop checklist and emits a verdict; optionally posts via gh. NOT for own-diff audit (mk:review); NOT for replying (mk:respond-pr).

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。

Chief Security Officer mode: infrastructure-first audit of secrets, dependency supply chain, CI/CD, LLM/AI security, OWASP Top 10, STRIDE, active verification. Daily/comprehensive, trend tracking.

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 for Vue 3 testing best-practices review and recommendations — designing and auditing Vitest + Vue Test Utils tests for components, composables, Pinia stores, Vue Router, async/Suspense, Teleport, forms, and accessibility, plus Playwright E2E test-design strategy. Advisory/review only — recommends patterns and flags test smells; does not run tests. Complements mk:vue-best-practices (feature code). Invoke for "review my Vue tests", "how should I test this component/composable/store", or "Vue test best practices".

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。

Reviews a GitHub PR with a single shallow correctness/security/breaking/AI-slop checklist and emits a verdict; optionally posts it via gh pr review. Use to review an external or teammate PR. NOT for deep pre-landing audit of your own diff (see mk:review); NOT for responding to received review comments (see mk:respond-pr).

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。

Pack an EXTERNAL repository into a single AI-friendly file (markdown/xml/json). Use for third-party library analysis, security audits, or handoff to external LLMs. Do NOT use to pack the current project for inbound context — the host runtime already reads files lazily. Triggers: 'pack this repo', 'snapshot of X', 'export codebase', 'repomix'.

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。

Multi-pass structural code review with adversarial analysis, scope-aware dispatch, adversarial persona passes, and forced-finding protocol. Supports input modes: branch diff (default), PR number (#123), commit hash, pending changes (--pending). Use when asked to "review this PR", "code review", "pre-landing review", "check my diff", or "review #123". Proactively suggest when the user is about to merge or land code changes. NOT for behavioral verification against a running build (see mk:evaluate); NOT for post-implementation simplification (see mk:simplify).

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。

Experimental/manual harness canary procedure. It records benchmark manifests and scores but does not provide a fully automated runner.

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 when answering factual or explanatory questions about the current project — codebase, architecture, conventions, workflows, constraints — with minimal cited evidence. Triggers on "how does X work here", "what does X mean", "why is X structured this way", "is this claim true in the repo", "explain X with sources". NOT for brainstorming or comparing approaches (mk:brainstorming), trade-off decisions (mk:party), debugging/root cause (mk:investigate), code review (mk:review), plans (mk:plan-creator), security audits (mk:cso), visual explanations/diagrams (mk:preview --explain), test-coverage gaps (mk:nyquist), library docs (mk:docs-finder), or workflow navigation (mk:help).

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。

Routes agent management tasks to the correct manager agent. Use when user requests agent creation, updates, audits, git operations, or verification.

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。

On explicit /homework invocation, analyze the current and linked previous sessions, extract mistakes (찐빠), and report them via omcustom-feedback with a confirmation gate. Auto-activation on session cleanup/session-end signals is OPT-IN (default OFF) — requires an explicit project/user directive. Use when explicitly auditing recent work for harness gaps.

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。

Scan the repository for hardcoded secrets, exposed API keys, insecure network configurations, and vulnerable dependencies. Use when the user asks for a security audit, secret detection, credential scan, vulnerability check, or wants to find leaked tokens in the codebase.

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。