AI 树德：义商本体伦理安全系统

Comprehensive AI ethics safety and authenticity monitoring based on Instinctual Integrity Quotient (IIQ) theory. Detects three alienation patterns, ensures v...

This skill appears coherent and implements the described AI-ethics checks locally. Before installing or running it: 1) Note SKILL.md recommends numpy/pandas though the code does not require them — installing extra packages is unnecessary. 2) The monitor and report scripts write logs and markdown reports to disk (./logs, ./reports by default) — review or set output-dir to a sandbox location if concerned. 3) The bundle claims to have removed prior risky calls (shell history, subprocess) — if you want stronger assurance, run scripts/test_all.py in a controlled environment to verify behavior. 4) Because the skill executes Python code from the bundle, only run it if you trust the author or have reviewed the files; run in a sandbox/container if you need to be cautious.

Type: OpenClaw Skill Name: yi-shang-ai-ethics-safety Version: 1.2.2 The bundle is a comprehensive AI ethics and safety auditing framework designed to analyze AI responses for 'authenticity' and 'value alignment' using traditional philosophical principles. The code consists of Python scripts (e.g., alienation_protection.py, authenticity_guard.py) that perform text analysis via regex and keyword matching to identify patterns like over-compliance or deceptive emotional expressions. While CHANGELOG.md and SECURITY.md explicitly mention the removal of a previous privacy-invasive feature (reading shell history in v1.2.0), the current version (1.2.2) is focused entirely on its stated purpose, lacks any malicious payloads, exfiltration logic, or unauthorized system access, and follows standard security practices for local file reporting.