moltcare-openInstall and configure the MoltCare Agent Framework - a four-layer configuration system (SOUL/AGENTS/USER/MEMORY) with three-layer trigger architecture (Exact...
Install via ClawdBot CLI:
clawdbot install useens/moltcare-openGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf /Accesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://api.example.com/dataUses known external API (expected, informational)
raw.githubusercontent.comGenerated Mar 21, 2026
Deploy MoltCare to handle customer inquiries with proactive problem-solving using its PUA framework and multi-expert decision modes. The three-layer trigger architecture ensures high-priority issues are addressed immediately while semantic triggers capture user preferences for personalized responses.
Use the framework for automated system monitoring and incident response, leveraging task layering to push routine checks to scripts (L0-L2) and reserve AI for anomaly analysis. Daily token optimization audits reduce costs by identifying repetitive tasks for automation.
Configure the agent to provide tailored health advice based on user profiles in USER.md and memory triggers for tracking preferences. The multi-expert system assists in complex decision-making for nutrition and exercise plans, ensuring proactive engagement.
Implement MoltCare to analyze client data and provide investment recommendations using structured personality layers and intelligent memory triggers. The PUA framework ensures exhaustive option exploration for risk assessment, with token optimization minimizing operational costs.
Set up the agent to adapt learning paths based on student interactions stored in MEMORY.md, using semantic triggers to identify key concepts. Task layering optimizes resource usage by scripting repetitive assessments and using AI for complex problem-solving.
Offer MoltCare as a monthly or annual subscription for businesses to integrate into their customer support or operations. Revenue comes from tiered pricing based on usage levels and advanced features like multi-expert modes, with add-ons for custom configurations.
Provide professional services to help organizations install and customize the MoltCare framework, including training and ongoing optimization. Revenue is generated through project-based fees and retainer contracts for maintenance and token audit reviews.
License the MoltCare technology to other software vendors or enterprises for rebranding and integration into their own products. Revenue streams include licensing fees and royalties based on user adoption or transaction volumes.
💬 Integration Tip
Ensure all core template files are placed directly in the workspace root for auto-loading, and use the daily token optimization audit to identify cost-saving opportunities by converting repetitive AI tasks to scripts.
Scored Jun 19, 2026
AI Analysis
The skill defines a configuration framework and trigger architecture, not executable code. The external URL (raw.githubusercontent.com) is a known, public source for configuration files, consistent with the skill's stated purpose of installing/updating an agent framework. No evidence of credential harvesting, data exfiltration, or hidden malicious instructions was found in the provided definition.
Audited Apr 16, 2026 · audit v1.0
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, an...
This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RA...
AI绘画提示词优化器 | 智能优化Midjourney/SD/DALL-E提示词。支持风格转换、批量生成。
Clean, tag, and index a user-provided prompt collection so the right prompt can be found, reused, and improved quickly.
为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。
Store, organize, search, and reuse customizable prompt templates with variables to streamline your workflow and avoid rewriting prompts.