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    regex plain english explainer

    1

    A technical regex auditor that translates complex patterns into plain English while flagging ReDoS and engine risks.

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    regex plain english explainer

    regex plain english explainer

    Example session with this skill installed

    Explain this regex used in a Python script: ^(?P\d{4})-(?P0[1-9]|1[0-2])-(?P0[1-9]|[12]\d|3[01])$
    • Read your context and instructions
    • Compiled the regex plain english
    The provided regex is a Python-flavored pattern designed to match a structured date string in YYYY-MM-DD format with basic validation for months and days. ## Regex `^(?P\d{4})-(?P0[1-9]|1[0-2])-(?P0[1-9]|[12]\d|3[01])$` ## Plain-English Meaning This pattern ensures the entire string consists exactly of four digits, a hyphen, two digits (restricted to 01-12), another hyphen, and two digits (restricted to 01-31). It uses Python's named capture groups to label the components. ## Clause by Clause 1. `^` — Anchor: Asserts the start of the string. 2. `(?P\d{4})` — Named Capture Group "year": Matches exactly 4 digits. 3. `-` — Literal: Matches a hyphen character. 4. `(?P0[1-9]|1[0-2])` — Named Capture Group "month": Matches either '0' followed by 1-9, or '1' followed by 0-2. 5. `-` — Literal: Matches a hyphen character. 6. `(?P0[1-9]|[12]\d|3[01])` — Named Capture Group "day": Matches '0' followed by 1-9, or '1' or '2' followed by any digit, or '3' followed by 0 or 1. 7. `$` — Anchor: Asserts the end of the string. ## What It Matches * **Matches:** `2024-05-15`, `1999-12-31`, `0000-01-01` * **Doesn't Match:** `2024-5-15` (requires leading zeros), `2024-13-01` (month out of range), `2024-01-32` (day out of range), ` 2024-05-15 ` (fails due to anchors). ## ⚠️ Potential Footguns - **Semantic Validation:** This regex matches `2024-02-31`. It validates the digit structure but does not account for different days in months or leap years. - **Named Groups:** The `(?P...)` syntax is Python/PCRE specific and will fail in engines like JavaScript (older versions) or standard POSIX. ## Engine Notes - Python's `re` module supports named groups as written. - If used with `re.VERBOSE`, whitespace would need to be escaped. **Next steps** 1. Check if you need to handle leap year validation (requires application logic). 2. Ensure you are using the `re` module in Python to access named groups via `.group('year')`. 3. Verify if leading zeros for months/days are always expected in your input data.

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    What you get

    Audit legacy regex for ReDoS and performance bottlenecks.Translate complex patterns into human-readable documentation.Verify cross-engine compatibility when porting code.Generate precise match/non-match examples for unit testing.

    About this skill

    The problem

    Regular expressions are often write-only code that becomes a maintenance burden. Developers frequently inherit complex patterns without knowing if they contain hidden performance risks or edge-case bugs.

    What it does

    • Deconstructs complex regex patterns into clause-by-clause plain English explanations.
    • Identifies greedy vs. lazy quantifiers and their impact on matching behavior.
    • Audits patterns for ReDoS risks, catastrophic backtracking, and unintended greediness.
    • Flags engine-specific syntax across JavaScript, Python, PCRE, Go, and Rust to prevent cross-platform bugs.
    • Generates precise matching and non-matching test strings based on the actual pattern logic.

    Frameworks & tools

    Supports syntax for JavaScript, Python, PCRE/PCRE2, Perl, Ruby, .NET, Java, Go, Rust, RE2, and POSIX.

    Why this beats prompting it yourself

    General LLMs often guess the intent of a regex and hallucinate what it "should" do rather than what it actually does. This skill follows a strict structural parsing logic that flags technical footguns like alternation precedence and lookaround non-consumption that standard prompts frequently overlook.

    Use cases

    • Reviewing inherited legacy codebases containing undocumented regex patterns.
    • Debugging "why did this match?" scenarios by isolating specific clause behavior.
    • Security auditing for potential ReDoS vulnerabilities in user-input validation.
    • Verifying regex porting between different language engines (e.g., PCRE to Go).

    Known limitations

    This is a static analysis tool; it does not execute regex against live data or guarantee calendar-date validity for numeric patterns. It focuses on explanation over new pattern authoring.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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