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Pattern Matching
作者
PandaAI-1337
· GitHub ↗
· v1.0.0
· MIT-0
190
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install pattern-matching
功能描述
Provides patterns for detecting sensitive data like API keys, credit cards, emails, SSNs, phone numbers, and IPs for authorized security testing and validation.
安全使用建议
This skill is a static collection of detection patterns (from SecLists) and appears coherent for authorized security testing. Before installing: (1) Confirm you have permission to scan any target systems — the SKILL.md correctly warns about authorized use; (2) Verify provenance if provenance matters (source/homepage is marked 'unknown' though the SKILL.md points to the SecLists GitHub and MIT license); (3) Review the pattern files to ensure they match your use case and to avoid running them against sensitive production data unintentionally; (4) If you need the latest or full SecLists, consider pulling directly from the official GitHub repo rather than an unknown registry package.
功能分析
Type: OpenClaw Skill
Name: pattern-matching
Version: 1.0.0
This skill bundle is a curated subset of the well-known SecLists security research project, specifically focusing on pattern-matching strings for security auditing. It contains various wordlists (e.g., 'php-magic-hashes.txt', 'repo-scan.txt', and 'malicious.txt') used to identify sensitive data, dangerous functions, or potential backdoors in source code and logs. The Python code in 'SKILL.md' is a standard utility for reading these reference files, and the documentation explicitly restricts usage to authorized security testing and educational purposes.
能力评估
Purpose & Capability
Name and description claim pattern lists for detecting sensitive data; the shipped files are pattern/grep lists (API keys, credit cards, emails, SSNs, IPs, etc.) that directly match that purpose. No unrelated credentials, binaries, or configuration are requested.
Instruction Scope
SKILL.md only documents the collection, its source (SecLists GitHub), usage examples for reading the local reference files, and ethical use guidance. It does not instruct the agent to read unrelated system files, exfiltrate data, call external endpoints, or access environment variables beyond local file reads.
Install Mechanism
There is no install spec and no code to run; this is instruction-only with included reference files. Nothing is downloaded or executed by the skill at install time.
Credentials
The skill declares no required environment variables, credentials, or config paths. The content contains strings that match dangerous functions/backdoor indicators (expected for detection lists) but no request for secrets or unrelated service tokens.
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system settings, and contains no installation scripts or components that would persist beyond the provided reference files.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install pattern-matching - 安装完成后,直接呼叫该 Skill 的名称或使用
/pattern-matching触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of SecLists Pattern-Matching skill:
- Provides sensitive data patterns for security testing—API keys, credit cards, emails, SSNs, phone numbers, and IP addresses.
- Includes reference text files for common sensitive data patterns.
- Helpful for data discovery and validation tasks.
- Designed for authorized security testing, educational use, bug bounty, and CTFs.
- Guidance on ethical and authorized usage included.
元数据
常见问题
Pattern Matching 是什么?
Provides patterns for detecting sensitive data like API keys, credit cards, emails, SSNs, phone numbers, and IPs for authorized security testing and validation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 190 次。
如何安装 Pattern Matching?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pattern-matching」即可一键安装,无需额外配置。
Pattern Matching 是免费的吗?
是的,Pattern Matching 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Pattern Matching 支持哪些平台?
Pattern Matching 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Pattern Matching?
由 PandaAI-1337(@pandaai-1337)开发并维护,当前版本 v1.0.0。
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