2,150 件 ・ 関連度順
概要と使いどころ
在授权渗透测试中挖掘 JavaScript 原型污染（prototype pollution，服务端 Node.js 与客户端）。当目标把用户可控的键名递归合并进对象（merge/extend/set/clone、JSON body、query 解析）时使用——典型场景：用 `__proto__`/`constructor.prototype` 注入属性，污染全局原型，进而 DoS、改逻辑、配合 gadget 提权到 XSS/RCE。适用目标类型 Web / REST API（Node.js） / 前端。触发场景包括用户说"测下原型污染""这个 merge 能不能 __proto__""污染原型打 RCE/XSS""lodash/jquery 有没有污染点"。输出：污染点 + 可用 gadget 判定 + 反射证据的 finding（含 killed 记录）。
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。
Implements type-safe reactive SQL persistence in Flutter using Drift v2.32 (formerly Moor) built on SQLite with automatic code generation. Activates when defining table schemas with Drift DSL, writing type-safe join or subquery operations, handling schema migrations with MigrationStrategy, using reactive watch() streams for live UI updates, implementing ACID transactions, defining foreign key constraints or cascade deletes, enabling WAL mode for write performance, troubleshooting generated .g.dart type mismatches, migrating from sqflite or sqlite3 v2 to v3, using DAOs for query separation, or building offline-first apps requiring strong relational data integrity and compile-time SQL 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。
Use when working with Coveo — coveo enterprise search platform management including sources, indexes, query pipelines, machine learning models, usage analytics, and security providers. Covers indexing health, query performance, ML model status, content freshness, and license utilization.
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 working with Bind9 — bIND9 DNS server management covering zone files, named configuration, DNSSEC, RNDC controls, query logging, and server statistics. Use when managing BIND9 DNS servers, auditing zone configurations, troubleshooting DNS resolution, checking DNSSEC status, or monitoring BIND9 performance and query patterns.
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 working with Bazel — bazel build system management. Covers BUILD file analysis, target querying, dependency graphs, remote execution, caching configuration, and build performance profiling. Use when managing Bazel workspaces, debugging build failures, querying targets, or optimizing build performance.
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 working with Baselime — baselime serverless observability platform for AWS Lambda, CloudFlare Workers, and Vercel functions. Covers log and trace querying, alert management, service discovery, and performance analysis of serverless workloads. Use when investigating serverless function performance, querying Baselime events, managing alerts, or analyzing cold start and duration 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。
Use when working with Apache Pinot — apache Pinot management — monitor cluster health, tables, segments, ingestion jobs, query performance, and controller/broker/server status. Use when debugging ingestion issues, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.
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 working with Apache Druid Deep — apache Druid deep management — monitor cluster health, datasources, ingestion tasks, segments, query performance, and coordinator/overlord status. Use when debugging ingestion failures, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.
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 working with Aws Cloudwatch Logs — aWS CloudWatch Logs group management, Logs Insights query execution, metric filter analysis, retention policy review, and subscription filter management. Covers log group inventory, storage cost optimization, query patterns, and cross-account log aggregation.
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 working with Mongodb — mongoDB database analysis, performance tuning, query optimization, and health monitoring. Covers collection analysis, index recommendations, aggregation pipelines, replica set health, Atlas cluster management, and slow query 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。
Use when working with Snowflake — snowflake data warehouse analysis, query performance tuning, cost optimization, warehouse management, and schema inspection. Covers QUERY_HISTORY analysis, credit consumption, warehouse utilization, storage analysis, data sharing, and Time Travel. Read this skill before any Snowflake operations — it enforces two-phase execution, anti-hallucination rules, and read-only safety constraints.
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 working with Mysql — mySQL and MariaDB database analysis, performance tuning, query optimization, and health monitoring. Covers slow query investigation, index analysis, table statistics, replication health, InnoDB status, connection pool analysis, and schema inspection.
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 working with Trino — trino (Presto) query analysis, catalog management, worker health, memory allocation, and query optimization.
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 en infrastructure GCP (GKE, Cloud Run, BigQuery, Pub/Sub, Firestore, Cloud Functions)
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。
Database optimization v3 — query plans, partitioning, indexing, connection pooling, PostgreSQL, MySQL
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 en bases de données (PostgreSQL, MySQL, MongoDB, Redis, query optimization, replication)
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 en data warehousing (Snowflake, BigQuery, Redshift, star schema, slowly changing dimensions)
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 en optimisation de bases de données (query plans, indexing strategies, partitioning, vacuum)
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 en RAG agentique (retrieval multi-étapes, self-query, chunking adaptatif, tool-augmented generation)
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, review, or improve data persistence using SwiftData. Use when defining @Model classes with @Attribute, @Relationship, @Transient, @Unique, or @Index; when querying with @Query, #Predicate, FetchDescriptor, or SortDescriptor; when configuring ModelContainer and ModelContext for SwiftUI or background work with @ModelActor; when planning schema migrations with VersionedSchema and SchemaMigrationPlan; when setting up CloudKit sync with ModelConfiguration; or when coexisting with or migrating from Core Data.
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 skill whenever user-controlled input flows into a MongoDB query, filter, or update. Trigger words: NoSQL Injection, ユーザー入力, req.body, クエリに渡す, find, filter, spread, $where, 検索条件, security review.
Prisma ORM expert for schema design, migrations, query optimization, relations modeling, and database operations. Use PROACTIVELY for Prisma schema issues, migration problems, query performance, relation design, or database connection issues.
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。
Performs GraphQL introspection attacks to Şunu çıkar: full API schema including types, queries, mutations, subscriptions, and field definitions from GraphQL endpoints. The tester uses introspection queries to map the attack surface, identifies sensitive fields and mutations, tests for query depth and complexity limits, and exploits GraphQL-specific vulnerabilities including batching attacks, alias-based brute force, and nested query DoS. Activates for requests involving GraphQL security testi...
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。
Analyzes DNS query logs to detect data exfiltration via DNS tunneling, DGA domain communication, and covert C2 channels using entropy analysis, query volume anomalies, and subdomain length detection in SIEM platforms. Use when SOC teams need to identify DNS-based threats that bypass traditional network security controls.
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。