regex-quality
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- AlicenseAqualityCmaintenanceEnables 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.2MIT
- AlicenseNot gradedqualityAmaintenanceProvides a tool to extract and validate regex patterns from text content, including flags, positions, and ReDoS risk assessment. Enables AI agents to identify potentially dangerous regular expressions in code or files without needing filesystem access.2MIT
- FlicenseNot gradedqualityCmaintenanceRegexForge 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-
- FlicenseNot gradedqualityCmaintenanceLets 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.-
- AlicenseAqualityCmaintenanceEnables LLMs to systematically develop and validate regex patterns by defining test cases with expected matches, testing patterns against them, and iteratively refining until all requirements are satisfied.46MIT
- AlicenseAqualityAmaintenanceEnables an LLM to author, validate, and test Wirefilter WAF and Smart Firewall rules using live schema and real CVE exploit templates.71MIT
TDQS
Scored across 9 tools
Most tools serve distinct purposes: generation, benchmarking, memory, testing, analysis, rewriting, and fixing. However, analyze, analyze_matrix, and redos_bench all involve growth classification and could be confused by an agent; detailed descriptions mitigate but don't eliminate the overlap.
Naming mixes verb-led patterns (gen_benign, suggest_rewrites, analyze_matrix) with noun-phrases (redos_bench, re2_memory, test_cases) and a bare verb (analyze). All names are snake_case and descriptive, but the pattern is not uniform.
9 tools cover the full workflow of regex safety: generation, benchmarking, memory analysis, correctness testing, composite analysis, rewrite suggestion, and automated fixing. Each tool earns its place with a distinct function.
The server provides end-to-end coverage from generating attack strings to verifying safe rewrites, including multi-engine classification. No obvious dead ends; fix_until_safe offers a guaranteed outcome or honest failure.