Run the mandatory verification stack when changes affect runtime code, tests, examples, or build and test behavior in the OpenAI Guardrails Python repository.
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。
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概要と使いどころ
Run the mandatory verification stack when changes affect runtime code, tests, examples, or build and test behavior in the OpenAI Guardrails Python repository.
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 an openai-guardrails-python release plan or final release candidate against the previous remote tag, determine the compatible release type, audit runtime and packaging risk, inspect current CI, and produce an English ship-or-block report. Use for pre-release readiness checks, not ordinary PR review or implementation.
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。
Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-guardrails-python after runtime, tests, examples, build/test configuration, or behavior-impacting docs change.
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。
Start and carry an explicitly invoked openai-guardrails-python implementation through a fresh isolated worktree and a local PR-ready handoff. Fetch the latest origin/main, keep task changes uncommitted, replay them onto the latest main before final review, run applicable verification and $implementation-final-review, use $pr-draft-summary to generate the complete PR draft and branch name, then create one clean local commit with takeover provenance when applicable. Use only when the user explicitly invokes this skill; never push, open a PR, or mutate GitHub.
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。
当需要为 AI 系统设计多层安全防线、内容过滤策略和伦理边界时调用此 skill。典型场景包括:设计拒绝策略与升级机制、防御 prompt 注入攻击、实现领域特定安全规则(教育、医疗、金融等)、定义 AI 的价值观锚点。 不适用于:定义工具操作权限(应使用 tool-specification)、定义 AI 身份(persona-design)、调整输出风格(personality-system)。 关键 trigger 信号:AI 涉及敏感话题、需要设计"拒绝回答"策略、存在 prompt 注入风险、特定行业合规要求、需要多层防御而非单一规则。
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。
Safe-release techniques DURING rollout: feature flags, progressive rollouts, canary analysis, guardrail metrics, production smoke tests, and synthetic users. Bridges QA and SRE practices. Use when: "feature flag testing," "canary deploy," "progressive rollout," "guardrail metrics," "dark launch," "safe rollout." Not for: scheduled probes that run continuously after release — use `synthetic-monitoring`. Not for: designing tests from prod telemetry — use `observability-driven-testing`. Related: release-readiness, synthetic-monitoring, observability-driven-testing, qa-metrics.
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。
Black-box QA audit of slop-guard across MCP, CLI, fit, docs, agent workflows, and writing-effectiveness. Files GitHub issues for real problems found.
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 AI agent code safely in isolated sandboxes with resource limits, audit trails, and kill switches. Use when someone asks to "sandbox my agent", "run agent code safely", "add guardrails to AI agent", "isolate agent execution", "audit agent actions", "prevent agent from deleting files", "restrict agent permissions", or "add safety controls to AI coding agent". Covers Docker isolation, filesystem restrictions, network policies, resource locking, and comprehensive audit logging.
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。
/aegisops-ai — Autonomous Governance Orchestrator workflow skill. Use this skill when the user needs Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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。
/aegisops-ai — Autonomous Governance Orchestrator workflow skill. Use this skill when the user needs Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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。
Behavioral guardrails to reduce common LLM coding mistakes with a caution-first approach.
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。
Choose bounded implementation scope and existing owning modules before Guardrails runtime, configuration, client, resource, streaming, Agents, or SDK compatibility changes and feedback fixes.
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。
Select and run Guardrails verification for code, dependency, test, tooling, documentation, or repository-workflow changes.
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。
Start or resume a requested Guardrails implementation or PR takeover in the selected linked worktree with bounded scope and 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。
Draft a Guardrails PR from its complete final diff and carry out authorized CI and review follow-up, including stacked PRs and takeovers.
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。
Prepare independent review of a complete Guardrails change before pushing or updating a PR, using the repository adversarial-review procedure.
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。
Create, compose, migrate, and review TypeScript runtime type guards with is-kit. Use when adding reusable guards; replacing typeof, null checks, or handwritten type predicates; narrowing unknown values; validating JSON or API responses; building collection or object schemas with struct or typedStruct; or reviewing existing is-kit usage. Do not use for one-off environment checks or validation that requires data transformation or rich error reporting.
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。
Expert guide for late-2026 frontier AI models — Google Gemini 4 Pro & Project Astra, Anthropic Claude 5.1 (Fable/Mythos), and Enterprise Frontier Safeguards (EFS) / Panduan ahli model AI frontier akhir-2026 — Google Gemini 4 Pro & Project Astra, Anthropic Claude 5.1 (Fable/Mythos), dan Enterprise Frontier Safeguards (EFS).
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。
Curated collection of ready-to-use Claude Code hook recipes for safety, automation, formatting, logging, and context injection. Use when configuring hooks, setting up safety guards, automating workflows, or when user mentions 'hooks', 'PreToolUse', 'PostToolUse', 'guard', 'automation', 'claude hooks'.
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。
Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. Born from real production incidents: server crashes, token leaks, code rewrites. Works with Claude Code, Clawdbot, Cursor. Install once, enforce forever.
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。
Add or review RustFS `tracing` events with the repository field shape, level policy, privacy boundaries, and guardrails. Use when a change adds or edits a tracing macro/instrumentation site or the logging guardrail script.
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 you need to check if a destructive command is blocked or run guardian freeze checks.
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。
Add a runtime guard that evaluates agent actions, blocks dangerous commands or secret exposure, and audits new skills before they run.
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。
Insert a trace-aware guardrail layer between agents and their tools so unsafe message patterns or tool-call sequences are blocked by explicit rules.
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。