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    regex-pattern-validator

    by Zicheng Liao

    Expert regex architect for building, auditing, and optimizing high-performance, ReDoS-safe patterns.

    Updated May 2026
    Security scanned
    One-time purchase

    $5

    · or 25 credits

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Identify and fix catastrophic backtracking in existing regex patterns.
    • Port complex Python regex patterns to Go-compatible syntax.
    • Includes example output and usage patterns
    • Instant install
    • One-time purchase

    See it in action

    A real example of what this skill takes in and produces.

    Sample output

    Pattern: ^(?P[a-z]{3})-(?P\d{4})$ Rating: SAFE (No nested quantifiers) Compatibility: PCRE, Python, Go (Named group syntax differs in JS) Tests: | Input | Expected | Status | |---|---|---| | abc-1234 | Match | PASS | | ab-123 | No Match | PASS |

    About This Skill

    What it does

    The Regex Pattern Validator is a specialized skill for developing, testing, and auditing regular expressions across multiple programming languages. It goes beyond simple string matching by providing deep performance analysis, ReDoS (Regular Expression Denial of Service) protection, and engine-specific compatibility checks.

    Why use this skill

    Writing regex is easy; writing safe, performant, and cross-platform regex is hard. This skill prevents production outages caused by catastrophic backtracking and ensures your patterns work identically in JavaScript, Python, Go, Java, and PCRE. It automates the tedious process of generating comprehensive test tables for happy paths, boundary cases, and malicious inputs.

    Supported Engines & Tools

    • Flavors: Full support for PCRE, JavaScript (ES6+), Python (re/regex), Go (regexp), and Java patterns.
    • Security: Built-in auditing for ReDoS vulnerabilities like nested quantifiers and ambiguous alternations.
    • Codebase Integration: Can scan your entire repository to find and audit existing regex patterns for risks.
    • Library: Access to 30+ production-ready patterns for emails, URLs, semver, and more.

    Use Cases

    • Identify and fix catastrophic backtracking in existing regex patterns.
    • Port complex Python regex patterns to Go-compatible syntax.
    • Generate exhaustive test suites including edge cases and Unicode support.
    • Bulk audit a repository to find and document all regex occurrences.

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    Security Scanned

    Passed automated security review

    Permissions

    Allowed Hosts

    example.com

    File Scopes

    regex-pattern-validator/**

    Tags

    regex
    security
    validation
    python
    javascript
    devops

    Creator

    Zicheng Liao

    Frequently Asked Questions

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