Remove AI-flavored language and unnecessary phrasing from text.
npx skills add https://github.com/fascari/ai-config --skill sanitizing-text
Please help me install this Agent Skill. Skill: sanitizing-text Source: https://github.com/fascari/ai-config/tree/main/skills/sanitizing-text Command: npx skills add https://github.com/fascari/ai-config --skill sanitizing-text
Post-processing pass applied to any text produced by other skills before it is written to a file or sent to an external system (issue tracker, wiki, GitHub). Never generates content; only cleans content that already exists.
Provide the target text to sanitize and this skill will apply its rules to return the cleaned content.
High-intent search queries and answers about installing and using this skill.
To remove AI-flavored language from text before saving, you can apply a post-processing sanitization pass that standardizes language, punctuation, and formatting while preserving code blocks and inline code. This refines content for professional documentation, tickets, or wikis.
Text sanitization for professional content editing is a cleaning process that removes unnecessary AI-sounding phrasing and standardizes punctuation and formatting. It ensures that text destined for files, issue trackers, or GitHub pages maintains a professional tone without altering code blocks.
To clean up documentation formatting without breaking inline code, apply a fixed set of sanitization rules that specifically target and preserve code blocks and inline code. This standardizes language and punctuation while leaving technical code syntax untouched.
Yes, automated text cleaning can be applied to any text destined for GitHub pages, wikis, or issue tracker comments. It acts as a post-processing pass to refine existing content by removing unnecessary phrasing before it is saved or published.
No, automated text sanitization never generates content. It only cleans and refines text that already exists by applying a defined set of rules in order to remove AI-sounding language and improve clarity before saving.
The best way to standardize language in AI-assisted issue tracker tickets is to run a post-processing pass that removes AI-sounding phrases and standardizes punctuation. This ensures professional, clear communication before the ticket is saved or published.
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