Regex Patterns

Practical regex patterns across languages and use cases. Use when validating input (email, URL, IP), parsing log lines, extracting data from text, refactoring code with search-and-replace, or debugging why a regex doesn't match.

This skill is a straightforward, instruction-only regex cookbook and appears internally consistent. Things to consider before installing or allowing autonomous use: (1) provenance — the source/homepage is unknown, so review the patterns yourself before using them in production; (2) the examples run grep/python/node against local files (logs, src/), so avoid running them against sensitive directories unless you trust the agent and understand the commands; (3) several provided regexes are simplified and may produce false positives/negatives (especially for emails, URLs, and IPv6) — validate them against your datasets; and (4) because it’s instruction-only there’s low install risk (no downloads or secrets requested), but exercise caution about autonomous invocation if you do not want automated scanning of local files.

Type: OpenClaw Skill Name: regex-patterns Version: 1.0.0 The skill bundle is a purely informational regex pattern cookbook. The `SKILL.md` provides examples of regex usage across various languages and command-line tools (`grep`, `sed`, `perl`). While these examples demonstrate powerful text processing capabilities that involve file access, they are presented as illustrative patterns and usage examples, not as direct instructions for the AI agent to execute on its own system or sensitive data. There is no evidence of prompt injection, data exfiltration, malicious execution, or persistence mechanisms. The required binaries (`grep`, `python3`, `node`) are consistent with the skill's stated purpose of demonstrating regex patterns.