Using Generated Regex
ListedThis skill generates regular expressions based on user input, streamlining complex pattern matching tasks and boosting developer efficiency.
Install on your platform
using-generated-regex. SKILL.md has no name/description frontmatter, so the skills CLI skips it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-09-28. We don't show a command we know will fail.
What we know about this skill
Publisher
christian289
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
SKILL.md frontmatter is missing name.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned christian289/dotnet-with-claudecode at 0ac6c06f0c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0ac6c06f0c
- Scanned
- 1 file, 174 lines
About this skill
What it does
This skill allows an AI agent to generate regular expressions based on natural language descriptions. It can translate complex search patterns into functional regex, enabling tasks like data extraction and text manipulation. The generated regex is designed for use within a .NET environment.
When to use it
- Extracting specific information from unstructured text documents (e.g., finding all email addresses in a report).
- Validating user input against defined patterns (e.g., ensuring a phone number matches the correct format).
- Performing search and replace operations based on complex criteria within code or data files.
- Automating tasks that require pattern matching, such as log file analysis.
Key capabilities
- Generates regular expressions from natural language descriptions.
- Designed for use in .NET environments.
- Translates complex patterns into functional regex.
Example prompts
- "Generate a regex to find all valid US phone numbers."
- "Create a regex that matches email addresses containing 'example.com'."
- "Give me a regular expression to extract dates in the format YYYY-MM-DD from this text."
Tips & gotchas
- The skill is specifically tailored for .NET; ensure compatibility when using the generated expressions in other environments.
- Complex natural language descriptions may require refinement or simplification to produce accurate regex patterns.