sql-code-review
Analyzes SQL across MySQL, PostgreSQL, SQL Server, and Oracle for security and code quality. Focuses on injection prevention, access control, maintainability, standards, and anti-pattern detection.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Analyzes SQL across MySQL, PostgreSQL, SQL Server, and Oracle for security and code quality. Focuses on injection prevention, access control, maintainability, standards, and anti-pattern detection.
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 fuz…
Provides SQL performance analysis and query tuning across MySQL, PostgreSQL, SQL Server, and Oracle. Covers indexing strategies, execution plans, pagination, batch operations, and performance monitoring.
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Covers SQL query optimization, indexing strategies, and EXPLAIN analysis. Supports diagnosing slow queries, designing database schemas, and improving application performance.
Handles complex joins, aggregations, window functions, CTEs, indexing, and query plan analysis. Supports schema migrations, query benchmarking, and SQL dialect migrations across PostgreSQL, MySQL, SQL Server, and Oracle.
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database optimization or complex analysis.
Supports SQL for Snowflake, BigQuery, Databricks, PostgreSQL, and other major dialects. Covers query optimization, dialect translation, and analytical queries using CTEs, window functions, and aggregations.
Generates SQL queries from natural-language descriptions and reads schemas from uploaded diagrams or documentation. Supports database exploration, reporting, and translating business questions into queries across multiple SQL dialects.
Applies SQLAlchemy ORM and Alembic best practices to database schema development. Supports writing, reviewing, and refactoring models, migrations, schema changes, and query patterns, including query optimization.
Supports SQLGlot-based SQL parsing, AST traversal, lineage, qualification, schema-aware rewrites, formatting, and transpilation in Python. Covers debugging and testing these transformations, excluding SQL execution and database query tuning.
Detect and exploit SQL injection vulnerabilities using both manual techniques and automated tools. Use this skill when testing web applications for database injection flaws including UNION-based, error-based, blind boolean, blind time-based, and out-of-band SQL injection. Covers WAF bypass, second-order SQLi, authentication bypass, and full database extraction with sqlmap.
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