Overview
- Skill Key
- cerbug45/sql-query-generator
- Author
- cerbug45
- Source Repo
- openclaw/skills
- Version
- 0.3.0
- Source Path
- skills/cerbug45/sql-query-generator
- Latest Commit SHA
- 2d0ba1948dd907317adc6749c1ab38fb4693f8c7
Generate secure SQL queries with validation, pagination helpers, risk analysis, and audit-focused safeguards.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 sql-query-generator 技能。 若已安装,则直接安装 sql-query-generator 技能。
# SQL Query Generator Skill ## Overview This skill enables AI agents to generate accurate, optimized SQL queries from natural language descriptions. It supports multiple database systems and follows best practices for query construction, security, and performance. ## Installation ### Method 1: Direct Download ```bash # Clone or download the repository git clone https://github.com/yourusername/sql-query-generator.git cd sql-query-generator # No external dependencies required for core functionality python sql_query_generator.py ``` ### Method 2: Using as a Module ```bash # Copy sql_query_generator.py to your project cp sql_query_generator.py /path/to/your/project/ # Import in your code from sql_query_generator import SQLQueryGenerator, DatabaseType ``` ### Method 3: AI Agent Integration For AI agents using this skill: 1. Read this SKILL.md file completely before generating queries 2. Follow all security guidelines strictly 3. Always use parameterized queries 4. Validate all inputs before query generation 5. Include security warnings in responses ### Optional Database Drivers Install only the drivers you need: ```bash # PostgreSQL pip install psycopg2-binary # MySQL pip install mysql-connector-python # SQL Server pip install pyodbc # Oracle pip install cx_Oracle # For testing and development pip install pytest pytest-cov ``` ### System Requirements - Python 3.7 or higher - No external dependencies for core query generation - Database drivers only needed for actual query execution ## Supported Database Systems - PostgreSQL - MySQL - SQLite - Microsoft SQL Server - Oracle Database - MariaDB ## Core Capabilities ### 1. Query Generation - **SELECT Queries**: Simple and complex data retrieval - **JOIN Operations**: INNER, LEFT, RIGHT, FULL OUTER, CROSS - **Aggregations**: GROUP BY, HAVING, aggregate functions - **Subqueries**: Correlated and non-correlated - **CTEs**: Common Table Expressions (WITH clause) - **Window Functions**: OVER, PARTITION BY, ROW_NUM...
# SQL Query Generator - Ultra Secure Edition ## 🔒 Military-Grade Security for SQL Query Generation AI-powered SQL query generator with **100x enhanced security** features, designed to prevent SQL injection, protect sensitive data, and ensure safe database operations. ## 🛡️ Security Features ### New in latest update (v0.3.0) - Table allowlist now enforced on **JOIN tables** too (not just primary table). - New `generate_paginated_select_query(...)` helper: - strict page/page_size validation - safe sort column + sort direction validation - automatic LIMIT/OFFSET generation - New `query_fingerprint(query)` helper for deterministic cache/audit correlation. - Stronger log sanitization: redacts `api_key`, `token`, and `secret` patterns. - Structured query analysis (`analyze_query`) retained for CI/automation scoring. ### Core Security Mechanisms 1. **SQL Injection Prevention** - Pattern-based detection (18+ injection patterns) - Input validation on ALL identifiers - Mandatory parameterized queries - Null byte detection - Hex encoding detection 2. **Input Validation** - Type validation (integers, strings, dates, emails) - Length constraints - Format validation (regex-based) - Whitelist validation for enums - SQL keyword blocking 3. **Rate Limiting** - Per-user request throttling - Automatic penalty system for violations - Configurable time windows - Thread-safe implementation 4. **Audit Logging** - Complete query history - Security event tracking - Sanitized logging (PII protection) - JSON-formatted logs for analysis 5. **Error Sanitization** - No sensitive data exposure - Generic error messages for users - Detailed logging for admins - Stack trace protection 6. **Data Sanitization** - Credit card number redaction - SSN redaction - Password redaction - Sensitive pattern detection ## 📊 Security Levels ```python SecurityLevel.STRICT # Maximum validation (RECOMMENDED) Securi...
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