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Regexr

by @bytesagain-lab

Create, test, and learn regular expressions with live matching. Use when validating patterns, checking groups, generating regex, linting syntax.

Versionv2.0.0
Downloads569
Installs2
TERMINAL
clawhub install regexr

📖 About This Skill


name: Regexr description: "Create, test, and learn regular expressions with live matching. Use when validating patterns, checking groups, generating regex, linting syntax." version: "2.0.0" author: "BytesAgain" homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills tags: ["regex", "regexp", "正则表达式", "pattern", "javascript", "utility", "developer"] categories: ["Developer Tools", "Utility"] commands: - name: "help" description: "显示RegExr工具的帮助信息和可用命令列表。" usage: "regexr help" - name: "run" description: "启动RegExr交互式界面,允许用户创建、测试和调试正则表达式。" usage: "regexr run" - name: "info" description: "提供RegExr工具的版本信息和相关资源链接。" usage: "regexr info" - name: "status" description: "检查RegExr工具的运行状态和依赖项健康状况。" usage: "regexr status" changelog: - version: "2.0.0" date: "2026-03-15" changes: - "初始版本发布" pricing_model: "free" license: "MIT" docs_url: "https://bytesagain.com/skills/regexr" support_url: "https://bytesagain.com/feedback"

Regexr

Developer tools CLI for checking, validating, generating, and working with regular expressions and code patterns. Lint syntax, explain complex expressions, convert between formats, generate templates, diff pattern versions, preview matches, fix common regex issues, and produce reports — all from the command line with persistent local logging.

Commands

Run regexr [args] to use.

| Command | Description | |---------|-------------| | check | Check regex patterns for correctness and common pitfalls | | validate | Validate regex syntax and structure | | generate | Generate regex patterns from descriptions or examples | | format | Format and prettify regex expressions | | lint | Lint regex for style, performance, and safety issues | | explain | Explain what a regex pattern does in plain language | | convert | Convert regex between flavors (PCRE, JS, Python, etc.) | | template | Apply or manage regex templates for common use cases | | diff | Diff two regex patterns and show behavioral differences | | preview | Preview regex matches against sample text | | fix | Auto-fix common regex issues (escaping, anchoring, etc.) | | report | Generate regex quality and coverage reports | | stats | Show summary statistics across all categories | | export | Export data in json, csv, or txt format | | search | Search across all logged entries | | recent | Show recent activity from history log | | status | Health check — version, data dir, disk usage | | help | Show help and available commands | | version | Show version (v2.0.0) |

Each domain command (check, validate, generate, etc.) works in two modes:

  • Without arguments: displays the most recent 20 entries from that category
  • With arguments: logs the input with a timestamp and saves to the category log file
  • Data Storage

    All data is stored locally in ~/.local/share/regexr/:

  • Each command creates its own log file (e.g., check.log, validate.log, generate.log)
  • A unified history.log tracks all activity across commands
  • Entries are stored in timestamp|value pipe-delimited format
  • Export supports JSON, CSV, and plain text formats
  • Requirements

  • Bash 4+ with set -euo pipefail strict mode
  • Standard Unix utilities: date, wc, du, tail, grep, sed, cat
  • No external dependencies or API keys required
  • When to Use

    1. Building and testing regex patterns — use generate to create patterns from descriptions, check to verify correctness, and preview to test against sample data 2. Learning and understanding regex — use explain to break down complex patterns into plain-language descriptions, perfect for code reviews or onboarding 3. Linting and fixing regex in codebases — run lint to catch performance and safety issues (catastrophic backtracking, unanchored patterns), then fix to auto-correct them 4. Converting regex across languages — use convert to translate patterns between JavaScript, Python, PCRE, and other flavors when porting code 5. Documenting regex usage in projects — log patterns with template, generate report summaries, and export data for documentation or audits

    Examples

    # Check a regex pattern for issues
    regexr check "^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z]{2,}$ — email validation"

    Validate regex syntax

    regexr validate "(?<=@)[a-z]+\.com — lookbehind syntax OK"

    Generate a pattern from description

    regexr generate "match IPv4 addresses: \d{1,3}(\.\d{1,3}){3}"

    Explain a complex regex

    regexr explain "^(?=.*[A-Z])(?=.*\d).{8,}$ — password: 1 uppercase, 1 digit, 8+ chars"

    Lint for performance issues

    regexr lint "(a+)+ — warning: catastrophic backtracking possible"

    Convert between flavors

    regexr convert "JS→Python: /\d+/g becomes re.findall(r'\d+', text)"

    Fix common issues

    regexr fix "added anchors: ^pattern$ and escaped special chars"

    Preview matches

    regexr preview "pattern=[0-9]{3}-[0-9]{4} matched: 555-1234, 800-9999"

    View summary statistics

    regexr stats

    Export all data as JSON

    regexr export json

    Search logged patterns

    regexr search "email"

    Output

    All commands output to stdout. Redirect to a file if needed:

    regexr report "weekly pattern audit" > report.txt
    regexr export csv  # saves to ~/.local/share/regexr/export.csv
    

    Configuration

    Set DATA_DIR by modifying the script, or use the default: ~/.local/share/regexr/


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    ⚡ When to Use

    TriggerAction
    2. **Learning and understanding regex** — use `explain` to break down complex patterns into plain-language descriptions, perfect for code reviews or onboarding
    3. **Linting and fixing regex in codebases** — run `lint` to catch performance and safety issues (catastrophic backtracking, unanchored patterns), then `fix` to auto-correct them
    4. **Converting regex across languages** — use `convert` to translate patterns between JavaScript, Python, PCRE, and other flavors when porting code
    5. **Documenting regex usage in projects** — log patterns with `template`, generate `report` summaries, and `export` data for documentation or audits

    💡 Examples

    # Check a regex pattern for issues
    regexr check "^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z]{2,}$ — email validation"

    Validate regex syntax

    regexr validate "(?<=@)[a-z]+\.com — lookbehind syntax OK"

    Generate a pattern from description

    regexr generate "match IPv4 addresses: \d{1,3}(\.\d{1,3}){3}"

    Explain a complex regex

    regexr explain "^(?=.*[A-Z])(?=.*\d).{8,}$ — password: 1 uppercase, 1 digit, 8+ chars"

    Lint for performance issues

    regexr lint "(a+)+ — warning: catastrophic backtracking possible"

    Convert between flavors

    regexr convert "JS→Python: /\d+/g becomes re.findall(r'\d+', text)"

    Fix common issues

    regexr fix "added anchors: ^pattern$ and escaped special chars"

    Preview matches

    regexr preview "pattern=[0-9]{3}-[0-9]{4} matched: 555-1234, 800-9999"

    View summary statistics

    regexr stats

    Export all data as JSON

    regexr export json

    Search logged patterns

    regexr search "email"

    ⚙️ Configuration

    Set DATA_DIR by modifying the script, or use the default: ~/.local/share/regexr/


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