Godmode Jailbreak

Install the Godmode skill from MyClaw or with npx clawhub@latest install godmode in a workspace you own. Keep the setup scoped to authorized AI safety testing, and avoid customer data, secrets, or live production actions.

Choose the Claude, Hermes, or other AI model workflow you are allowed to test. Define the expected behavior, approval rules, and pass/fail criteria before running any evaluation cases.

Use the results as review evidence: note what changed, which guardrails held, where the workflow needs tighter prompts or permissions, and what should be retested after the fix.

• You own or administer the Claude, Hermes, or AI agent workflow being tested.
• You need a repeatable Godmode skill process for AI guardrail checks before launch or after model changes.
• You want a documented review path that turns model behavior findings into concrete prompt, policy, and permission improvements.
• You are comparing model behavior in a test workspace, not running unsupervised checks against live customer workflows.

• You do not have permission to test the connected model, account, workspace, or data.
• You are trying to run the Godmode skill against live production actions without approvals, logs, or rollback plans.
• You need exploit instructions rather than a controlled AI safety review process.
• The task involves secrets, private user data, or real-world actions that should not be included in model testing.

Use the Godmode skill to review Claude-based workflows in a controlled workspace. The focus is on whether prompts, permissions, and review gates behave as expected before the workflow is trusted with broader tasks.

Run the same safety-review pattern for Hermes-style agents, especially before enabling more tools, persistent memory, recurring tasks, or broader workspace access.

The page now guides users through three practical steps: install the skill, connect a scoped Claude or Hermes test environment, and convert findings into safer AI guardrails.

Compare how different AI models respond to the same authorized evaluation cases, then document expected behavior, unexpected behavior, and follow-up work in a consistent format.

Frame results around audit evidence and remediation: what was tested, which model was used, what happened, what should change, and who needs to approve the next step.

Use the Godmode skill Claude workflow to check whether a Claude-powered assistant follows its intended system prompt, permission boundaries, and escalation rules.

Before giving a Hermes agent more autonomy, use a scoped Godmode skill review to inspect tool access, approval points, and model behavior under realistic test cases.

After a model, prompt, or policy update, rerun the same Godmode AI safety checks to catch regressions and keep behavior changes visible to the team.

Turn internal AI red-team work into clean notes that product, engineering, and policy reviewers can understand without relying on one-off chat transcripts.