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Alternatives to Regex Check

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    • A
      license
      A
      quality
      D
      maintenance
      Provides tools to test regex patterns for correctness, performance (ReDoS), and memory usage, and suggests safe rewrites. Enables LLMs to iterate on regex generation with verifiable feedback.
      9
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to explain regex patterns in plain English and statically assess ReDoS risk before shipping, without executing the pattern or requiring an API key.
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables testing regular expressions against strings to retrieve matches, capture groups, positions, and human-readable pattern explanations via an x402 micropayment MCP server.
      1
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      RegexForge gives AI agents a reliable way to get a regex without asking an LLM to hallucinate one. Pass in labeled examples (strings that should match, strings that shouldn't) plus an optional description; get back the regex, a proof matrix showing it handles every example, and a backtracking-risk audit flagging catastrophic-backtracking patterns. Pure symbolic synthesis over a template bank with
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    • F
      license
      Not graded
      quality
      C
      maintenance
      Lets users generate regex patterns from plain-English descriptions, then verifies them with Python's real re engine against generated positive and negative test strings, iterating on failures until they pass. It exposes this as a tool callable from MCP clients such as Claude Desktop or Claude Code.
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    TDQS

    A4.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: check_redos analyzes a pattern for catastrophic backtracking safety, while test_regex executes a pattern to report matches, groups, and engine differences. An agent can easily tell which to call based on whether the goal is safety analysis or behavior testing.

    Naming Consistency5/5

    Both names follow the same snake_case verb_noun convention (check_redos, test_regex), with 'redos' and 'regex' as the clear noun targets. The pattern is fully predictable and consistent.

    Tool Count4/5

    Two tools is on the thin side, but each is a substantial, well-defined operation covering a genuinely narrow domain (regex safety and engine behavior analysis). The scope justifies the small surface, though a third operation could round it out.

    Completeness4/5

    The surface covers the two core needs—vulnerability detection and cross-engine matching/testing—giving decent lifecycle coverage for the domain. Minor gaps exist (e.g., no pattern explanation or syntax conversion), but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues