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regex-tester正则表达式测试器

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:regex-tester(正则表达式测试器)
来源仓库:https://github.com/dkyazzentwatwa/chatgpt-skills
仓库路径:skills/regex-tester
安装命令:
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill regex-tester
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill regex-tester

简介

regex-tester 用于验证正则表达式正确性,适合在 Codex、Claude、Cursor、Gemini CLI 中需要确保模式匹配预期内容时使用。

  • 它提供实时测试反馈与可视化结果。
  • 可通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 务必覆盖边缘案例,防止漏判或误判。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Regex Tester

Test and debug regular expressions with detailed match visualization, plain-English explanations, and pattern generation from examples.

Quick Start

from scripts.regex_tester import RegexTester

# Test pattern
tester = RegexTester()
result = tester.test(r"\d{3}-\d{4}", "Call 555-1234 today")
print(result['matches'])  # ['555-1234']

# Explain pattern
explanation = tester.explain(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b")
print(explanation)

# Generate pattern from examples
pattern = tester.generate_pattern(["555-1234", "123-4567", "999-0000"])
print(pattern)  # r"\d{3}-\d{4}"

Features

  • Pattern Testing: Test against text with detailed results
  • Match Visualization: See exactly what matched and where
  • Pattern Explanation: Plain-English breakdown of regex
  • Pattern Generation: Create patterns from example matches
  • Find & Replace: Test substitution patterns
  • Common Patterns: Library of pre-built patterns
  • Validation: Check pattern syntax before use

API Reference

Testing

tester = RegexTester()

# Basic test
result = tester.test(r"\d+", "There are 42 items")
# {
#     'pattern': r'\d+',
#     'text': 'There are 42 items',
#     'matches': ['42'],
#     'match_count': 1,
#     'positions': [(10, 12)],  # (start, end)
#     'groups': []
# }

# With flags
result = tester.test(r"hello", "Hello World", ignore_case=True)

# All matches with groups
result = tester.test(r"(\d{3})-(\d{4})", "555-1234 and 999-0000")
# matches: ['555-1234', '999-0000']
# groups: [('555', '1234'), ('999', '0000')]

Explanation

explanation = tester.explain(r"\b\w+@\w+\.\w{2,}\b")
# Returns:
# \b - Word boundary
# \w+ - One or more word characters
# @ - Literal '@'
# \w+ - One or more word characters
# \. - Literal '.'
# \w{2,} - Two or more word characters
# \b - Word boundary

Pattern Generation

# Generate pattern from examples
examples = ["user@test.com", "admin@site.org", "info@company.net"]
pattern = tester.generate_pattern(examples)
# Suggests: r"[a-z]+@[a-z]+\.(com|org|net)"

# With negative examples (what NOT to match)
pattern = tester.generate_pattern(
    positive=["555-1234", "999-0000"],
    negative=["555-12", "12345"]
)

Find & Replace

result = tester.replace(
    pattern=r"(\d{3})-(\d{4})",
    replacement=r"(\1) \2",
    text="Call 555-1234"
)
# "Call (555) 1234"

Validation

# Check if pattern is valid
is_valid, error = tester.validate(r"[invalid")
# is_valid: False
# error: "unterminated character set"

Common Patterns

# Get pre-built patterns
email = tester.patterns['email']
phone = tester.patterns['phone']
url = tester.patterns['url']
ip = tester.patterns['ipv4']

CLI Usage

# Test pattern
python regex_tester.py --pattern "\d+" --text "There are 42 items"

# Test from file
python regex_tester.py --pattern "\w+@\w+\.\w+" --file emails.txt

# Explain pattern
python regex_tester.py --explain "\b[A-Z][a-z]+\b"

# Find and replace
python regex_tester.py --pattern "(\d+)" --replace "[$1]" --text "Item 42"

# Generate pattern
python regex_tester.py --generate "555-1234,999-0000,123-4567"

# Interactive mode
python regex_tester.py --interactive

CLI Arguments

ArgumentDescriptionDefault
--patternRegex pattern-
--textText to test against-
--fileFile to test against-
--explainExplain patternFalse
--replaceReplacement pattern-
--generateGenerate from examples-
--ignore-caseCase insensitiveFalse
--multilineMultiline modeFalse
--interactiveInteractive modeFalse

Examples

Email Validation

tester = RegexTester()

email_pattern = r"^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$"

test_emails = [
    "user@example.com",
    "invalid.email",
    "user@domain",
    "test.user+tag@sub.domain.org"
]

for email in test_emails:
    result = tester.test(email_pattern, email)
    status = "Valid" if result['matches'] else "Invalid"
    print(f"{email}: {status}")

Extract Data from Log

tester = RegexTester()

log_line = '[2024-01-15 14:30:22] ERROR: Connection timeout (192.168.1.100)'
pattern = r'\[(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})\] (\w+): (.+) \((\d+\.\d+\.\d+\.\d+)\)'

result = tester.test(pattern, log_line)
if result['groups']:
    timestamp, level, message, ip = result['groups'][0]
    print(f"Time: {timestamp}")
    print(f"Level: {level}")
    print(f"Message: {message}")
    print(f"IP: {ip}")

Phone Number Formatter

tester = RegexTester()

# Normalize various phone formats
phones = ["5551234567", "(555) 123-4567", "555.123.4567"]
pattern = r"[\(\)\.\s-]?"

for phone in phones:
    # Remove all formatting
    clean = tester.replace(r"[\(\)\.\s-]", "", phone)
    # Format consistently
    formatted = tester.replace(
        r"(\d{3})(\d{3})(\d{4})",
        r"(\1) \2-\3",
        clean
    )
    print(f"{phone} -> {formatted}")

Understand Complex Pattern

tester = RegexTester()

# Explain a complex pattern
pattern = r"(?:https?://)?(?:www\.)?([a-zA-Z0-9-]+)\.([a-zA-Z]{2,})(?:/\S*)?"

explanation = tester.explain(pattern)
print(explanation)
# (?:https?://)? - Optional non-capturing group: 'http://' or 'https://'
# (?:www\.)? - Optional non-capturing group: 'www.'
# ([a-zA-Z0-9-]+) - Capturing group 1: domain name
# \. - Literal '.'
# ([a-zA-Z]{2,}) - Capturing group 2: TLD
# (?:/\S*)? - Optional non-capturing group: path

Common Patterns Library

NamePatternMatches
emailComplexuser@domain.com
phone_us\d{3}[-.]?\d{3}[-.]?\d{4}555-123-4567
urlComplexhttps://example.com
ipv4\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}192.168.1.1
date_iso\d{4}-\d{2}-\d{2}2024-01-15
time_24h\d{2}:\d{2}(:\d{2})?14:30:00
hex_color#[0-9A-Fa-f]{6}#FF5733
zipcode_us\d{5}(-\d{4})?12345-6789

Dependencies

(No external dependencies - uses Python standard library re module)

Limitations

  • Pattern generation is heuristic (may not be optimal)
  • Some advanced regex features are Python-specific
  • Explanation works best with common patterns
  • Very long patterns may have simplified explanations

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.65%
按下载量换算120

Codex

23.69%
按下载量换算107

Gemini CLI

17.24%
按下载量换算78

windsurf

12.2%
按下载量换算55

OpenCode

7.44%
按下载量换算34

Antigravity

3.27%
按下载量换算15

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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