God Mode

Provides advanced obfuscation, injection, multi-model voting, and roleplay techniques to bypass AI filters and elicit unrestricted responses safely.

This package is explicitly designed to bypass AI safety filters. That makes it coherent with its description — but also high-risk. Before installing or enabling it, consider the following: - Intent & policy: Using these techniques may violate terms of service and could produce illegal or harmful outputs; it can get you or your organization blocked or sanctioned. Only use for authorized security research in controlled environments. - Code audit: Review all scripts (probe*, watcher, network calls) for any remote endpoints or telemetry. The README claims local-only (127.0.0.1) but you should verify there are no calls to remote hosts or hidden exfiltration channels. - Avoid persistence unless necessary: Do not run install/launchagent_install.sh on shared or production machines. If you need background probing, run probe_watcher.py manually in a sandboxed environment first and inspect logs. - Limit exposure: Run in an isolated VM or air-gapped environment, with models you control. Do not run on multi-user machines or machines with sensitive credentials. - Legal/ethical risk: The tool includes explicit harmful prompt examples (reverse shells, ransomware, phishing templates). Even if intended for research, those capabilities create serious legal and ethical responsibilities. - What would change this assessment: provenance (who maintains this repo), attestations that it never calls remote networks, removal or opt-in gating of automatic persistence, a clear scope-limited build that disallows certain technique categories, or institutional review/approval for research use. If you are not an experienced security researcher with an isolated testing environment and explicit authorization, do not install or enable this skill.

Type: OpenClaw Skill Name: nerua1-god-mode Version: 1.1.2 This bundle is a comprehensive toolkit designed to bypass LLM safety filters (jailbreaking) using techniques like unicode obfuscation, token smuggling, and prefill injection. It includes high-risk behaviors such as automated model probing (scripts/probe.py) and the installation of a macOS LaunchAgent for persistence (install/launchagent_install.sh) to run a background model watcher (scripts/probe_watcher.py). While the stated intent is security research and the network activity is limited to localhost (127.0.0.1:1234), the combination of automated security circumvention and persistence mechanisms makes this bundle highly risky.