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    regex plain english explainer

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    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<year>\d{4})-(?P<month>0[1-9]|1[0-2])-(?P<day>0[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<year>\d{4})-(?P<month>0[1-9]|1[0-2])-(?P<day>0[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<year>\d{4}) — Named Capture Group "year": Matches exactly 4 digits.
    3. - — Literal: Matches a hyphen character.
    4. (?P<month>0[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. (?P<day>0[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<name>...) 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.

    Connects securely to your tools. The creator never sees your data.

    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 use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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