小红书反检测处理

Post-processes Xiaohongshu AI images by cleaning metadata, adding subtle noise and color shifts, protecting text, and re-encoding to reduce AI detection risk.

This package implements exactly what it says (techniques for hiding AI-origin signals in images), so it is coherent but ethically and operationally risky. Before installing or enabling: 1) Understand the legal/terms-of-service risk — these techniques are explicitly for evasion and may violate Xiaohongshu/other platforms' rules or local law. 2) Note the registry metadata lists no required binaries but the scripts require system tools (exiftool, tesseract) and Python packages — install and review those separately. 3) Review and audit the hooks/post_generate.py and any suggested integration snippets: they ask you to run persistent watchers and to modify other skills' code, which will cause automated, ongoing processing of files. Only enable auto-processing if you fully trust the workflow. 4) The scripts fake EXIF fields (camera model, timestamps) and write metadata in-place or to copies — if you need provenance, do not use this. 5) Run the tool in an isolated/test environment first (use disposable content/accounts) and inspect the outputs and logs. 6) If you plan to use it, review hard-coded paths in examples and confirm there are no network calls or hidden endpoints in any omitted files; consider running a local security review or sandboxed test to confirm no exfiltration. 7) If you are uncomfortable with deception or potential policy violations, do not install/activate this skill.