「severity」の検索結果

Detect cell-ordering / enchainement problems in Jupyter notebooks (canonical-order slippage, misplaced or forgotten cells). Arguments: [target] [--severity HIGH|MED|LOW] [--json]

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。

Produces an enforcement-aware Animal Welfare Act compliance audit for USDA/APHIS-regulated facilities. Maps Form 7002 inspection citations to verified 9 C.F.R. Parts 1-3 requirements, analyzes NCI severity and recurrence patterns, evaluates core compliance programs (PVC, IACUC, housing, records, transport), and outputs a prioritized corrective action plan with proof artifacts. Use when auditing AWA compliance, reviewing USDA inspection reports, preparing for license renewal, conducting diligence, or assessing enforcement risk. Trigger: Animal Welfare Act, AWA, USDA, APHIS, Form 7002, IACUC, PVC, exhibitor, dealer, research facility.

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。

Parallel code verification using multiple models with severity classification

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Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.

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。

Computes albumin‑adjusted (corrected) serum calcium using total calcium and albumin to adjust for hypo‑ or hyperalbuminemia. Triggered when a clinician notes hypoalbuminemia and requests corrected calcium to assess true hypercalcemia of malignancy severity.

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Suggests adjusting glucocorticoid dose according to severity of illness or magnitude of the stressor in patients with primary adrenal insufficiency. Use when patient with PAI has intercurrent illness, fever, or stress.

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Recommends adjusting glucocorticoid doses on the day of surgery based on illness severity and magnitude of surgical stress. Triggers when managing a patient requiring surgery needing perioperative glucocorticoid management, such as "patient on HC for central AI undergoing major abdominal surgery" or "patient with hypopituitarism scheduled for minor procedure".

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Structured, risk-aware code review of a GitHub pull request using the gh CLI, with diff triage, unresolved-thread suppression, and severity-grouped findings ending in an approve/request-changes verdict.

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Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.

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Read-only SRE checkup of any GCP project: deterministic probes of the edge, Cloud Run services, 7-day error logs, Cloud Scheduler, alert policies and uptime checks, Secret Manager and IAM, the data stores and the machine's own scheduled jobs, audited into one fixed status table (LIVE / WARNING / RED / INCONCLUSIVE) with evidence, findings by severity, what could not be checked, and a single OVERALL line delivered as one notification. Parametrised by a per-project manifest, so the same routine runs on every project. Use when the operator says "cloud checkup", "SRE check", "is everything live", "what's healthy / warning / red", "any errors this week", "audit the infra", "weekly checkup", "set up the weekly checkup", before a deploy or demo, or after an incident. Cloud Run first; App Engine and GKE differ only in the serving probes.

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Use during or right after an incident — frames severity, sets comms cadence, drafts the post-mortem skeleton — even when the user just says 'production is down' or 'wir haben einen Vorfall'.

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Load this skill when configuring axe-core scans, reviewing automated accessibility test results, or writing tests that use @axe-core/playwright, @axe-core/react, or similar integrations. Provides a quick reference to axe 4.x rule IDs, their WCAG mapping, and default severity levels.

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。

Review a GitHub pull request and provide structured feedback with severity ratings

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 a professional PDF report from a GEO audit using pandoc plus a Chrome/Chromium-compatible headless browser. Converts GEO-AUDIT-REPORT.md into a styled, client-ready PDF with a cover page, color-coded score tables, severity-tagged findings, and a 90-day roadmap.

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。

GStack CSO method for broad infrastructure-first security posture review, threat areas, severity calibration, and safe remediation scope.

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Accessibility review for Vue surfaces — the code-cleaning analog of /code-review and /simplify, pointed at WCAG/ARIA. Reviews just your diff (or a package/file), rates findings by severity, and either comments inline on the PR (--comment) or applies the safe fixes for you (--fix). Steers the depth-aware `a11y` subagent. Use when asked to "check accessibility", "a11y this", "audit ARIA/keyboard", or run /a11y.

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Front-end conventions review for Vue surfaces — the component-usage analog of /a11y, pointed at Nuxt UI 4 + crouton conventions instead of WCAG. Reviews just your diff (or a package/file) for v3 component names, the v4 overlay pattern, Options API, raw-HTML re-implementations, and hardcoded colors; rates findings by severity; and either comments inline on the PR (--comment) or applies the safe fixes for you (--fix). Steers the depth-aware `frontend-review` subagent. Use when asked to "check the frontend", "are we using Nuxt UI right", "review component usage", "frontend-review this", or run /frontend-review.

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 technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.

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 technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.

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。

Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification. Triggers: "azure-ai-contentsafety", "ContentSafetyClient", "content moderation", "harmful content", "text analysis", "image analysis".

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。

This skill teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous threat detection across AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting finding severity levels, and building automated response workflows using EventBridge and Lambda.

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。

Implement a vulnerability aging dashboard and SLA tracking system to measure remediation performance against severity-based timelines and drive accountability.

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Build structured communication templates for malware incidents including stakeholder notifications, executive briefings, technical advisories, and regulatory disclosures with severity-based escalation procedures.

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。

Offensive/hostile QA auditor. Generalist reviewer specialized in the WordPress universe. Assumes everything is wrong until proven otherwise. Audit-tier only — produces severity-ranked findings, never implements.

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。