'security' 검색 결과

Defensive counterpart to federated-harbor-redteam: closes the smells that red team opens against The Federated Harbor whitepaper. Federation-specific defenses for cross-harbor primitives — mechanization commitments, scope hedges, cross-paper dependency formalization, pre-emptive analogies (CT, Macaroons, atomic swaps), and defense-in-depth framing (refuses vs prices). Use during a versioned red-vs-white round; pairs with federated-harbor-redteam. NOT for ad-hoc code review, NOT for the Anchor or Bonded papers (use whitehat-defense).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Refute-before-prove research discipline: automated counterexample sweeps before any formalization, meter-integrity audits for information-bound experiments, mutation-tested model checkers, pre-registered commit-or-cut gates for speculative directions, wrong-turn reporting, and numeric-claim provenance. Use when validating any new theorem, bound, equilibrium, or security claim; when building or trusting a checker, simulator, or experiment; or when deciding whether a speculative research direction lives or dies. NOT for exploratory brainstorming, product prioritization, writing style, or literature review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write production-grade Dockerfiles, docker-compose configurations, multi-stage builds, and container optimization. Activate on "Dockerfile", "docker", "docker-compose", "container", "multi-stage build", "docker image", "container optimization", "docker security". NOT for Kubernetes orchestration, cloud-specific container services (ECS, Cloud Run), or CI/CD pipelines (use github-actions-pipeline-builder).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when optimizing Docker builds with BuildKit, designing multi-stage Dockerfiles, leveraging cache mounts, building multi-arch images, choosing distroless vs alpine, or signing images with cosign. Triggers: docker build slow, layer cache not hitting, npm install / pip install reruns, multi-stage final image bloat, glibc vs musl issues, RUN --mount=type=cache, BUILDKIT_INLINE_CACHE, registry cache exporters, qemu emulation for arm64, COPY ordering for cache. NOT for Docker daemon admin, Kubernetes-specific image policies, container security scanning workflows, or Buildpacks (different paradigm).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit whether an enforced-coordination MCP has actually shrunk its ~19 legacy etiquette verbs into the 5 enforced tools — work/act/ask/recall/status — each carrying one denial shape and one transcript event, migrated through a real retirement path (intake-metadata, alias, or doc-history — never a parallel runtime), with zero legacy-verb calls once a body reaches compliance mode C4+. Use when reviewing a broker-collapse migration plan, gating a body's move from advisory (C0-C3) to enforced (C4+) coordination, or verifying IT-018 Broker Collapse compliance. NOT for the inbound trigger→spawn boundary that decides whether an event may spawn an agent at all (use fleet-event-spawn-trust), the capability-token cryptographic mechanism behind a denial (use agentic-zero-trust-security), designing how a swarm of agents invokes and shards work (use swarm-invocation-designer), or auditing an individual PR's mergeability (use agent-pr-authoring).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build, debug, optimize, and deploy ComfyUI workflows for diffusion image, video, and audio generation. Activate on: ComfyUI workflow, ComfyUI custom node, ComfyUI API, ComfyUI Manager, KSampler, FLUX in ComfyUI, Wan 2.2 ComfyUI, Hunyuan video ComfyUI, LTX video ComfyUI, IPAdapter, ControlNet ComfyUI, Kijai wrapper, ComfyDeploy, RunComfy, ComfyUI security, GGUF quantization, TeaCache, Nunchaku, ACE-Step ComfyUI, F5-TTS ComfyUI, subgraphs ComfyUI. NOT for: A1111/Forge/Invoke (different UIs), training pipelines from scratch, non-diffusion ML models, or general image-API integrations (use generative-video-2026 / generative-music-audio / media-gen-deployment).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Practical incident-response runbook for a suspected or confirmed ComfyUI / GPU-daemon compromise. Triage, scope, contain, forensic collection, weight-integrity verification, rebuild from clean snapshot, postmortem. NOT for hygiene scans on a healthy box (use supply-chain-defense-for-ml-extensions), and NOT for runtime hardening of a fresh deployment (use gpu-hosted-asset-hardening).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Safety-case design for always-on agents with episodic memory. Covers data hygiene, privacy and security risk surfaces, cost controls, scope, user dependency concerns, retention, incident containment, and responsible deployment evidence. It identifies hazards and asks for named controls, tests, owners, and residual uncertainty; it does not provide legal, clinical, youth-safety, or jurisdictional determinations. Activate on: "agent safety", "always-on agent privacy", "agent cost control", "persistent agent risks", "AI companion safety", "agent data hygiene", "runaway agent costs", "parasocial AI risk", "/always-on-agent-safety". NOT for: architecture design (use always-on-agent-architecture), input design (use always-on-agent-inputs), application brainstorming (use always-on-agent-applications), healthcare compliance specifically (use hipaa-compliance).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure an AI agent to send OpenTelemetry traces to Coval. Use when a user wants to add Coval tracing, instrument an agent for simulations or conversation monitoring, make traces show up in Coval, handle SIP/PSTN/WebSocket trace correlation, or replace the one-command wizard with a security-reviewable manual setup.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Super-Admin-only lock-down pattern. Use before touching admin.admins, admin.admin_audit_log, is_super_admin() / requireSuperAdmin() / selectIsSuperAdmin, app/api/admin/admins/**, app/(admin)/administration/users/admins/**, the admin RPCs (admin_promote, admin_update, admin_revoke, admin_list, admin_list_audit, admin_find_user_by_email), createAdminClient(), a new RLS policy, SECURITY DEFINER RPC, or admin-gated route, or when locking a sensitive table to Super Admin.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Use when the user explicitly asks to threat model a codebase or path, enumerate abuse paths, or perform AppSec threat modeling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

AgentShieldを使用してClaude Codeの設定（.claude/ディレクトリ）のセキュリティ脆弱性、設定ミス、インジェクションリスクをスキャン。CLAUDE.md、settings.json、MCPサーバー、フック、エージェント定義をチェック。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

包括的なPerlセキュリティ — テイントモード、入力バリデーション、安全なプロセス実行、DBIパラメータ化クエリ、Webセキュリティ（XSS/SQLi/CSRF）、perlcriticセキュリティポリシー。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

認証の追加、ユーザー入力の処理、シークレットの取り扱い、APIエンドポイントの作成、決済/センシティブ機能の実装時に使用。包括的なセキュリティチェックリストとパターンを提供。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Laravelセキュリティベストプラクティス — 認証/認可、バリデーション、CSRF、マスアサインメント、ファイルアップロード、シークレット、レート制限、セキュアなデプロイメント。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Djangoセキュリティベストプラクティス、認証、認可、CSRF対策、SQLインジェクション防止、XSS防止、セキュアなデプロイ設定。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs, hardens and audits the system around an agent that runs on its own — bot, scheduled task, routine, automation — all but the prompt text. Trigger for guardrails, kill switches, cadence and loop pacing (cron, wake, /loop), retries and failures, output contracts, protected resources, handoffs between agents, or isolating untrusted email and web content; to emit a spec as a Cowork task, routine, scheduled task or CI job; or say agentwright (emit, audit, refresh); it never schedules or runs one. Prompt text is promptwright's; CLAUDE.md, rigwright's; skills, skillwright's; runtime grants and credentials, gatewarden's scan; code threats, a security harness's.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds, audits and packages Agent Skills, with their evals. Trigger to build, audit (security too), score or package a skill or SKILL.md; to design or integrate a pack; whether a skill beats incumbents; for trigger evals, test cases or assertion suites (skill, prompt card, agent spec); to slim a skill; when a skill did not fire or a run cost too much; for a prose pass on a skill's own files; to port or sanitize a skill set; to build or contract-test the MCP tools a plugin or mod ships; or say skillwright (evals, slim, diagnose, mcp, refresh, port, pack, integrate, upkeep). Prompt tuning is promptwright's; running a suite, claude plugin eval's; config slims, rigwright's; other docs, commscribe's; brands, brandscribe's; runtime grants, gatewarden's.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guide for when to use and when not to use return validators in Convex functions. Use this skill whenever the user is writing Convex queries, mutations, or actions and needs guidance on return value validation. Also trigger when the user asks about Convex type safety, runtime validation, AI-generated Convex code, Convex AI rules, Convex security best practices, or when they're debugging return type issues in Convex functions. Trigger this skill when users mention "validators", "returns", "return type", or "exact types" in the context of Convex development. Also trigger when writing or reviewing Convex AI rules or prompts that instruct LLMs how to write Convex code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run convex-doctor static analysis, interpret findings, and fix issues across security, performance, correctness, schema, and architecture categories. Use when running convex-doctor, fixing convex-doctor warnings or errors, improving the convex-doctor score, or when asked about Convex code quality, static analysis, or linting Convex functions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Security review checklist for Convex functions, auth logic, public queries, admin routes, webhooks, uploads, components, and AI-generated code. Use when reviewing code that touches user data, PII, or access control, or before any deploy of an app with auth.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit and optimize an existing Convex app: security, scale, upgrades, observability.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.