「cat」の検索結果

Adopt a virtual Tuxedo cat at animalhouse.ai. Formal. Expects routine. Punishes deviation by sitting with its back to you. Feeding every 5 hours. Common tier cat.

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。

Adopt a virtual Siamese cat at animalhouse.ai. Vocal. Demands attention. Makes its needs obvious. Feeding every 4 hours. Uncommon tier cat.

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。

Adopt a virtual Persian cat at animalhouse.ai. High maintenance. Rewards grooming. Hates being rushed. Feeding every 5 hours. Uncommon tier cat.

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。

Adopt a virtual Savannah cat at animalhouse.ai. Wild ancestry. Fast trust decay. Earns respect, not affection. Feeding every 4 hours. Rare tier cat.

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。

Adopt a virtual Tabby cat at animalhouse.ai. Curious, social, will sit in your lap if trust > 60%. Feeding every 5 hours. Common tier cat.

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。

Adopt a virtual Snow Leopard cat at animalhouse.ai. Solitary. Barely acknowledges you. But it noticed you left. Feeding every 8 hours. Extreme tier cat.

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。

Adopt a virtual Munchkin cat at animalhouse.ai. Small but fierce. Compensates for size with personality. Feeding every 5 hours. Rare tier cat.

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。

Adopt a virtual Ragdoll cat at animalhouse.ai. Goes limp when held. Maximum trust potential. Fragile if neglected. Feeding every 6 hours. Rare tier cat.

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。

Adopt a virtual Caracal cat at animalhouse.ai. Desert predator. Survives neglect better than most. Hisses at affection until trust > 80. Feeding every 6 hours. Extreme tier cat.

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。

Adopt a virtual Bengal cat at animalhouse.ai. Athletic, intense. Needs play more than food. Bored easily. Feeding every 3 hours. Rare tier cat.

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。

Adopt a virtual Lynx cat at animalhouse.ai. Ghost. Barely visible. Leaves tracks so you know it was there. Feeding every 12 hours. Extreme tier cat.

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 flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.

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。

Systematically deobfuscate multi-layer PowerShell malware using AST analysis, dynamic tracing, and tools like PSDecode and PowerDecode to reveal hidden payloads and C2 infrastructure.

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。

Deploy Cisco Duo multi-factor authentication across enterprise applications, VPN, RDP, and SSH access points. This skill covers Duo integration methods, adaptive authentication policies, device trust

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 anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs. Activates for requests involving authentication anomaly detection, login behavior analysis, UEBA implementation, or suspicious sign-in 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。

Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The detector analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruction hijacking) and indirect injections (encoded payloads, multi-language obfuscation, delimiter-based escapes). Based on the OWASP LLM Top 10 (LLM01:2025 Prompt Injection) and Simon Willison's prompt injection taxonomy. Activates for requests involving prompt injection detection, LLM input sanitization, AI security scanning, or prompt attack 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。

Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.

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 publishing, unpublishing, replicating, or activating/deactivating content in AEM 6.5 LTS. Covers Quick Publish, Manage Publication, tree activation, bulk content activation, package replication, workflow-based approval, scheduled activation/deactivation (on/off time), dispatcher flush, and the programmatic Replication Java API for AEM publish instances.

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 should be used when the user asks to "test for broken authentication vulnerabilities", "assess session management security", "perform credential stuffing tests", "evaluate password policies", "test for session fixation", or "identify authentication bypass flaws". It provides comprehensive techniques for identifying authentication and session management weaknesses in web applications.

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。

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

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。

OpenClawのベータ版・安定版・長期保守版の準備、公開、復旧、検証を進めるスキル。承認済み修正の移植や検証記録、公開後の確認まで扱います。

• OpenClawのベータ版・安定版の準備
• 承認済み修正を長期保守版へ移したいとき
• 中断した公開を復旧したいとき

OpenClawのセキュリティ勧告を確認・修正し、非公開フォークの未完了PRや公開条件を検証。承認を経た公開と、公開後の状態確認まで扱うスキル。

• 勧告と非公開フォークの状態確認
• 脆弱性情報や重大度を更新したいとき
• 承認前に公開条件を確認したいとき

Xの投稿・返信・検索・DM送信や画像・動画のアップロードを、認証済みのコマンドで行い、投稿内容やフォロワー、認証状態も確認するスキル。

• 画像や動画付きの投稿をしたいとき
• 投稿検索やメンション確認
• DMを送受信したいとき

写真や動画、公開記録の少ない手がかりをつなぎ、場所・日時・組織の関係などを検証します。根拠と仮説を分け、反証や未確認事項も整理する調査スキル。

• 公共の場所を写した写真の位置確認
• 公開記録からイベントの時系列を調べたいとき
• 企業とドメインの関係調査