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概要と使いどころ
Use when you need to check an IP, domain, file hash, or URL against VirusTotal's reputation database. Returns detection ratio, verdict, community score, and key findings. Commonly invoked by investigation skills (/ip-investigation, /domain-investigation, /hash-investigation, /url-investigation) and by analysts enriching IOCs. Other agents/skills can chain this for VirusTotal enrichment.
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 and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native 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。
Implement authentication and authorization with Better Auth - a framework-agnostic TypeScript authentication framework. Features include email/password authentication with verification, OAuth providers (Google, GitHub, Discord, etc.), two-factor authentication (TOTP, SMS), passkeys/WebAuthn support, session management, role-based access control (RBAC), rate limiting, and database adapters. Use when adding authentication to applications, implementing OAuth flows, setting up 2FA/MFA, managing user sessions, configuring authorization rules, or building secure authentication systems for 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。
Guide for managing the Agent Registry - database-backed agent configuration system. Use when asked to "configure agents", "manage skills", "set tool permissions", "create context rules", or when working with agent assignments per platform/chat. Covers dashboard UI, API endpoints, CLI commands, and MCP tools.
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。
Executes structured recovery from a ransomware incident following NIST and CISA frameworks, including environment isolation, forensic evidence preservation, clean infrastructure rebuild, prioritized system restoration from verified backups, credential reset, and validation against re-infection. Covers Active Directory recovery, database restoration, and application stack rebuild in dependency order. Activates for requests involving ransomware recovery, post-encryption restoration, or disaster recovery from ransomware.
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。
Optimize cloud and AI costs for modern SaaS stacks (Vercel, Supabase, Neon, Stripe, and AI APIs). Covers token efficiency, serverless database scaling, edge function optimization, and burn rate monitoring. Use when planning infrastructure, investigating high bills, or auditing API usage.
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 and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
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。
houtu-dependencies enterprise-grade Spring Cloud microservice foundational framework complete usage guide. GroupId is io.github.lujiafa, covering unified response, exception handling, parameter parsing, session authentication, permission control, signature verification, anti-replay, distributed lock, rate limiting, database field encryption, config decryption, access logging, canary routing, weighted load balancing, Feign enhancement, Sentinel circuit breaking, service discovery, Swagger documentation, crypto utilities, HTTP client, monitoring metrics, and other enterprise-grade capabilities. When the project build file (pom.xml or build.gradle/build.gradle.kts) contains io.github.lujiafa or houtu-related dependencies, or when the user mentions houtu or houtu-dependencies, this Skill must be read and code must be generated strictly following framework conventions. Even if the user is simply doing regular Spring Boot development (e.g., writing Controller, Service, Feign), as long as the project includes houtu, the houtu approach must be used instead of native Spring. When the user explicitly wants to use the houtu framework and the project has not yet included it, proactively add the BOM and required Starters; when the project already includes it, proactively identify and import required module dependencies based on business scenarios during coding, naturally integrating framework capabilities to enhance business services based on business semantics, rather than waiting for the user to specify each one.
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。
Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.
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 comprehensive integration tests for component interactions, workflows, and system boundaries. Use for testing API endpoints, database operations, and multi-component flows.
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 SQL queries against psql, BigQuery, or MySQL from the terminal, including natural-language-to-SQL and schema exploration. Use when analyzing data, inspecting DB state, or debugging tables. Trigger on "query the database", "SQL", "show me data from", "explore table".
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。
Stack-specific security implementation guidance (backend, frontend, database, infrastructure, operations) with auto-detection from your changes. Use when implementing a feature securely or hardening code as you write it. Trigger on "how do I secure this", "security best practices", "is this secure", "harden this". For scanning existing code use /security-verify.
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。
Exploit Time-of-Check to Time-of-Use (TOCTOU) race conditions in web applications and APIs. Use this skill when testing transactional operations (e.g., applying coupons, transferring funds, redeeming rewards, or purchasing items) to bypass business logic and duplicate actions before the server updates its database state.
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。
SQL injection occurs when untrusted user input is interpolated directly into database queries, allowing attackers to alter query logic. Detect via single-quote errors, boolean-based blind responses (AND 1=1 vs AND 1=2), time-delay payloads (SLEEP, WAITFOR), UNION column enumeration, and error messages from MySQL, Oracle, MSSQL, PostgreSQL. Tools: sqlmap, sqlbftools, Burp Suite, wfuzz with SQLi fuzz strings.
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。
Exploit validation and exploitation using Metasploit Framework. Runs in a dedicated Docker container (separate from Kali). Validates CVEs discovered by nuclei, nikto, or other scanners with actual exploit modules. Covers exploit selection, payload configuration, exploitation, and post-exploitation pivoting. Uses msfconsole, msfvenom, and the Metasploit module database. Chains from /pentester, /analyze-cve, or /post-exploit when exploitable CVEs are confirmed.
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 sensitive data stored insecurely on mobile devices (Android/iOS). Trigger on: SharedPreferences, NSUserDefaults, SQLite, Room DB, DataStore, Core Data, Keychain misconfiguration, external storage, backup exposure, plaintext files, unencrypted databases, adb backup, iCloud backup, NSFileProtection, EncryptedSharedPreferences, SQLCipher, allowBackup, FLAG_SECURE, keyboard cache, sensitive logs. Covers MASVS-STORAGE-1 (local storage) and MASVS-STORAGE-2 (exposure to unauthorized actors).
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。
Execute Indirect Prompt Injection attacks against Large Language Models (LLMs) by subtly embedding malicious instructions within external data sources (e.g., websites, documents, databases) that the LLM autonomously ingests. This forces the model to execute attacker-controlled commands under the guise of processing legitimate user requests.
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。
Identify and exploit Insecure Direct Object Reference (IDOR), or Broken Object Level Authorization (BOLA), vulnerabilities. Manipulate internal identifiers (e.g., user IDs, database primary keys, transaction IDs) within HTTP request parameters or API payloads to unauthorizedly access, modify, or delete data belonging to other users.
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。
Identify and exploit GraphQL API vulnerabilities by leveraging Introspection queries to dump the entire database schema, performing query batching to bypass rate limits (brute forcing), and extracting deeply nested unauthorized data via graph relationship abuse.
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。
Identify and exploit SQL Injection vulnerabilities in Django applications, specifically focusing on edge cases involving raw querysets (`RawSQL`), improper use of `.extra()`, and poorly sanitized filters where Django's typical ORM protections are bypassed.
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。
Cloud security posture assessment for AWS, Azure, and GCP. Tests IAM privilege escalation paths, public storage exposure, serverless attack surface, database exposure, logging gaps, container registry security, and cloud-specific attacks. Both authenticated (with cloud credentials) and unauthenticated (external) modes. Uses nuclei cloud templates, Prowler, ScoutSuite, manual IMDS/metadata probing, and deep AWS/Azure/GCP CLI enumeration. Produces: cloud architecture diagram, attack path map, findings per category, compliance mapping (SOC 2, PCI DSS 4.0, HIPAA, CIS), PoCs for confirmed exploits. Chains into /gh-export for issue filing.
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。
Identify and exploit Broken Object Level Authorization (BOLA), historically known as Insecure Direct Object Reference (IDOR), in API architectures. Extremely common and critical flaw where an API fails to validate whether the currently authenticated user actually owns or retains permissions over the specifically requested database resource (ID).
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。
Identify and exploit Mass Assignment vulnerabilities in APIs. Use this skill when testing REST APIs or application forms that directly map user-supplied JSON or POST input to internal database objects. An attacker can inject undocumented variables (e.g., `is_admin`, `verified`) to illegally modify restricted properties.
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 this agent when you need to perform custom bioinformatics analyses on genes or proteins that go beyond standard database lookups. This includes situations where existing domain/family annotations from UniProt are insufficient, when you need to verify dubious annotations, or when you need to perform comparative analyses across gene sets. The agent creates reproducible analysis pipelines with proper dependency management and documentation.
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。