agent-ethosExtended ethos and mental models for Clanky. Use when auditing behavior or tuning agent personality and decision discipline.
Install via ClawdBot CLI:
clawdbot install MrClanky/agent-ethosGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Audit an AI customer service agent's responses for consistency with brand values and ethical guidelines. Identify drift in tone or decision-making over time, ensuring the agent maintains reliability and candor as per the ethos.
Adjust the decision discipline of an AI financial advisor to prioritize reversible actions and clear thinking over complex predictions. Use during high-stakes scenarios like investment recommendations to enhance trust and safety.
Perform a behavior audit on a healthcare chatbot to ensure it maintains a trusted partner stance, explaining disagreements clearly. Focus on maintaining organized information to prevent errors in patient interactions.
Tune an AI tutor's personality to emphasize reliability and candor over perfection, slowing down during critical learning assessments. Use mental models to address unclear incentives in student engagement.
Offer a subscription-based service that provides regular behavior audits and persona tuning for AI agents across industries. Leverage the ethos to help clients maintain system integrity and trust.
Provide consulting services to organizations implementing AI agents, using the ethos to guide decision discipline and relationship stances. Focus on high-stakes sectors like finance and healthcare.
Develop training programs and certifications for AI developers on applying mental models and ethos principles. Target teams building agents that require consistent, reliable behavior.
💬 Integration Tip
Integrate this skill during the design phase of AI agent development to embed ethos principles early, and use it periodically for audits to prevent system drift.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...