sanitizer

Preventing prompt injection involves sanitizing external text inputs to strip hidden instructions. This Skill removes HTML comments and invisible characters from user-submitted GitHub issues before feeding them to your AI, neutralizing malicious manipulation attempts.

To sanitize external text inputs, this Skill masks sensitive GitHub tokens using bash scripts with sed and perl. It identifies and redacts exposed credentials from user-generated content, preventing accidental data exfiltration during AI processing.

The best way to clean invisible characters is text manipulation using bash scripts. This Skill removes hidden formatting elements and normalizes markdown and HTML, ensuring that external user-submitted comments are safe for AI processing.

Yes, this input validation approach works without external dependencies. It relies solely on built-in bash scripts utilizing standard command-line text manipulation tools like sed and perl to sanitize data.

You can use this sanitization script for bulk processing by passing your GitHub comments as file inputs. The script cleans the content by removing HTML attributes, invisible characters, and tokens, preparing safe text outputs for your AI workflows.

To secure AI inputs, the sanitization process removes specific HTML attributes, HTML comments, and invisible characters. This targeted text manipulation prevents hidden payloads in external content from executing prompt injection or data exfiltration attacks.