SkillCheatSheet
clean-user-facing-text
An AI agent skill from guillaumemeyer/watermarks-remover, scored 76 out of 100 by code.
Code score by group
It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts, meaning, and the writer's voice. Use when the user asks to clean, humanize, polish, or finalize articles, manuscripts, reports, documentation, emails, product copy, UI text, Markdown, or HTML prose, or when a project rule or instruction file explicitly requires this workflow. Don't use for code-only tasks or undisclosed authorship evasion; leave code, commands, identifiers, paths, APIs, formulas, citations, required disclosures, and verb…
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- guillaumemeyer/watermarks-remover
- Folder
- skills/clean-user-facing-text
- License
- MIT
- GitHub stars
- 27,206
- SKILL.md lines
- 192
- Other files
- 9
Add clean-user-facing-text to your agent
npx skills add guillaumemeyer/watermarks-remover --skill clean-user-facing-textThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
Labelled for
More skills from guillaumemeyer/watermarks-remover
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remove-ai-marks
Remove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/…
65C
All skills in guillaumemeyer/watermarks-remover
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.