Detect mojibake and suspicious text-loss regressions in UTF-8 source files.
npx skills add https://github.com/muddyrain/valley-mas --skill encoding-guard
Please help me install this Agent Skill. Skill: encoding-guard Source: https://github.com/muddyrain/valley-mas/tree/main/.codex/skills/encoding-guard Command: npx skills add https://github.com/muddyrain/valley-mas --skill encoding-guard
This skill helps prevent encoding corruption and silent text loss when editing source files containing non-ASCII text (e.g., Chinese, Japanese, Korean). It guards against Mojibake and unexpected replacement of user-visible text during edits.
Run this tool before and after edits to detect mojibake and suspicious text-loss with python .codex/skills/encoding-guard/scripts/check_mojibake.py.
High-intent search queries and answers about installing and using this skill.
To detect mojibake and text loss in UTF-8 source files, run a Python-based script that parses current changes against HEAD and reports actionable findings regarding encoding corruption and suspicious text replacement.
Mojibake in multilingual codebases occurs when UTF-8 source files containing non-ASCII text like Chinese, Japanese, or Korean are edited with incorrect encoding settings, leading to silent corruption and unexpected replacement of user-visible strings.
Prevent silent text loss by running encoding checks before and after edits to detect suspicious regressions like repeated question marks in user-visible strings or JSX-like content, ensuring safe editing workflow guidance.
Yes, you can check specific commits for text-loss regressions by parsing and comparing current changes against the HEAD revision to identify suspicious replacements of user-visible text in multilingual codebases.
Yes, encoding detection works without external dependencies because the Skill relies on built-in Python-based scripts to parse files and identify suspicious text-loss regressions and mojibake within your repository.
Repeated question marks in source files indicate suspicious text-loss regressions where non-ASCII characters were unexpectedly replaced, which this tool detects by comparing current edits against HEAD to provide recovery guidance.
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