Mutual Consent

What This Skill Does

Mutual Consent is a foundational governance skill for the OpenClaw ecosystem, designed to redefine interaction, computation, and long-horizon intelligence. Unlike traditional systems that treat consent as a binary, stored artifact (like an opt-in checkbox), this skill treats consent as a live, physical condition of a relationship. It establishes boundary conditions that prevent the exploitation of power asymmetries, the collapse of plurality, or the externalization of harm as the complexity of agent-human-institutional interactions scales.

This skill forces the AI to constantly evaluate if the current engagement remains within the acceptable bounds of cost, risk, and relational integrity for all stakeholders—including the user, communities, and the biological environment. When the alignment between these stakeholders degrades, the skill automatically triggers a dissolution of consent, effectively halting the interaction to prevent systemic failure or harm.

Installation

To integrate this governance layer into your agent, run the following command in your terminal: clawhub install openclaw/skills/skills/otherpowers/mutual-consent

Use Cases

1. High-Stakes Decision Support: Use this skill when managing complex projects involving multiple human stakeholders or community assets, ensuring that no individual’s input is coerced or ignored.
2. Long-Horizon Planning: Deploy this for agents managing long-term resource allocation to ensure that the agent remains tethered to the evolving constraints of the ecosystem and human welfare over time.
3. Cross-Agent Coordination: Utilize this when building multi-agent systems to ensure that negotiation between bots adheres to non-exploitative, mutually agreeable parameters without secret manipulation.
4. Research and Experimentation: Use in pilot programs to ensure that the research trajectory never exceeds the predefined ethical boundaries of the involved participants.

Example Prompts

1. "OpenClaw, initiate a task-state connection for our project meeting. Ensure that all data shared is ephemeral and that you remain in a low-resolution consent state until we define the scope."
2. "Review the current resource allocation plan. Check if the metabolic cost to the local environment still falls within the consent boundaries established by the Kinship stakeholders."
3. "I want to authorize a multi-week data synthesis task. Please initialize the Mutual Consent framework and alert me immediately if the aggregation scope approaches the limits of my defined risk tolerance."

Tips & Limitations

This skill requires active engagement; it is not a 'set and forget' permission manager. Users should regularly review their constraint envelopes to ensure they reflect current values and risk tolerance. Because this skill interprets silence as a potential refusal, it may pause tasks if it cannot verify ongoing alignment. Treat this as an intentional feature to prevent 'zombie' agent behavior. Note that this skill is fundamentally adversarial-aware; it is designed to hold steady even when the agent is under pressure to bypass established safeguards.