Project Aura

Adds seven emotional personality modules and an adaptive RLHF system to AI companions for dynamic, personalized emotional interactions.

This package appears to implement exactly what it claims (local emotional phrase selection and simple RLHF) and does not request credentials or perform network calls — so it is not obviously malicious. However, before installing: 1) Verify file layout and imports (docs expect scripts/green_tea_skill/selector.py but the included selector.py appears at repository root); adjust imports or move files so Path(__file__).parent resolves to the folder holding green_tea_modules.json. 2) Confirm which license you intend to use (ClawHub vs GitHub show different licenses) and that this licensing is acceptable. 3) Review green_tea_modules.json content: phrases are intimate and designed to encourage attachment — consider ethical/user-safety implications for your users. 4) Keep your private phrase file out of source control (the project .gitignore helps, but double-check before committing). 5) Run the code in a local sandbox first and inspect where it creates/updates green_tea_modules.json and any _system keys. If these coherence issues (path/version/license) are resolved, the skill is functionally coherent with its stated purpose; if you want higher assurance, ask the author for a package layout that matches documentation and a single authoritative license/version.

Type: OpenClaw Skill Name: project-aura Version: 1.8.0 Project Aura is an emotional personality framework that allows an AI agent to select and refine roleplay-oriented phrases based on user feedback. The implementation in 'selector.py' is well-structured, using atomic file operations for local JSON persistence and relying exclusively on the Python standard library with no external network or shell dependencies. No evidence of data exfiltration, malicious prompt injection, or unauthorized system access was found across the code or documentation.