Optimize system environments, filter noise from text, and tune parameters to improve performance and stability.

This skill is low-risk in terms of credentials or network exfiltration (it makes no network calls and requests no secrets), but it is misleading and functionally limited. Before installing or using it: - Expect simulated, not real, system changes: optimize() reports hypothetical 'after' values and tune() only suggests parameters; it does not apply system-level optimizations. - Test the filter() on non-sensitive sample text first: the regex list includes a pattern that will replace any 2+ consecutive Chinese characters (labelled as '中文姓名'), which will remove ordinary Chinese words and sentences and could cause data loss. Consider adjusting or disabling that pattern. - Don't rely on this skill to actually change system settings or apply production tuning without additional verification and explicit apply logic. - If you need real environment changes or safe PII filtering, request that the author document exactly what will be changed, add an explicit 'apply' step requiring confirmation, and replace crude regex-based name removal with named-entity detection or configurable rules. If you want, I can produce a short patch suggestion to make the filter less destructive and to make 'optimize' and 'tune' clearly labeled as simulation vs real actions.

Type: OpenClaw Skill Name: chu-hui Version: 1.0.16 The 'Chu Hui' skill bundle is a utility for system environment reporting, PII (Personally Identifiable Information) filtering, and AI parameter tuning suggestions. The code in scripts/index.js is transparent and lacks any network communication, file system modifications, or sensitive data exfiltration logic. The 'optimize' and 'tune' functions primarily return simulated metrics and configuration suggestions, while the 'filter' function performs standard regex-based redaction of sensitive strings like emails and phone numbers without storing or transmitting them.