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miknasbh-stack

CompoundOS - AI Operating System

by miknasbh-stack · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
350
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Install in OpenClaw
/install miknas-compoundos
Description
Design and run a self-improving AI OS for business with strategic, prioritization, ops, department agents, projects, learning, communication, and metrics lay...
Usage Guidance
This skill is a coherent design and playbook for building a business AI OS, but it gives agents broad autonomy to act on external systems (ads, payments, CRMs) and to log "everything." Before installing or enabling it: - Confirm where agent execution actually runs (your infrastructure vs vendor cloud) and who controls connectors. - Do not embed secrets or API keys inside permanent agent instructions or prompts; use a secure secrets store and least-privilege credentials. - Require explicit human approval gates for high-impact actions (payments, billing changes, major ad spends, account changes). - Review and limit auto-capture scope: redact PII/sensitive fields and limit retention or store memory encrypted. - Test with sandbox/test accounts for payment/ad/CRM integrations before live operations. - Add audit logging and alerts for any outbound webhook/API calls and a kill switch to stop autonomous actions. If the publisher can clarify expected connectors, where credentials are stored, and how human approvals and data protections are enforced, that would raise confidence. Without those safeguards in place, treat deployments as higher risk.
Capability Analysis
Type: OpenClaw Skill Name: miknas-compoundos Version: 1.0.0 The skill bundle provides a comprehensive framework and set of templates for a business-oriented AI operating system called CompoundOS. It includes prompt templates for various departments (Attract, Convert, etc.) and documentation for knowledge management and performance monitoring. The logic is entirely contained within Markdown instructions and templates, focusing on organizational structure and agentic workflows without any evidence of malicious code, data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The name/description match the SKILL.md content: templates and a 9-component architecture are appropriate for a business AI OS. However, many templates describe agents with capabilities that require external system access (payment processing, posting ads, sending invoices, integrating CRMs) even though the skill declares no required environment variables, credentials, or connector configuration. That absence isn't fatal for an instruction-only skill, but it is noteworthy: implementers will need to supply those integrations separately.
Instruction Scope
SKILL.md instructs agents to Auto-Capture 'all decisions, actions, outcomes', integrate with APIs/CRMs/webhooks, and gives department agents 'full autonomy' for actions like creating ads, posting content, sending invoices and processing payments. The instructions do not specify safeguards (human approval gates, least privilege, or where secrets live) nor limit what data is captured. This creates a risk of unintended API calls, sensitive-data logging, or credential misuse if an agent is granted runtime access.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal installation risk. Nothing is downloaded or written by the skill package itself.
Credentials
The skill declares no required env vars or primary credential, yet many described capabilities necessarily need external credentials (payment processors, ad platforms, CRMs). The mismatch isn't necessarily malicious (authors may expect integrators to wire connectors), but it means the skill's instructions assume external secrets will be provided elsewhere; this should be made explicit before granting any runtime access.
Persistence & Privilege
always=false and model invocation is allowed (platform default). The skill asks operator to 'feed strategic document into AI agent's permanent instructions' (expected for agent setups) but does not request to modify other skills or system-wide settings. No elevated persistent privilege is requested by the package itself.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install miknas-compoundos
  3. After installation, invoke the skill by name or use /miknas-compoundos
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Self-improving AI Operating System for business automation with 9 integrated components
Metadata
Slug miknas-compoundos
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is CompoundOS - AI Operating System?

Design and run a self-improving AI OS for business with strategic, prioritization, ops, department agents, projects, learning, communication, and metrics lay... It is an AI Agent Skill for Claude Code / OpenClaw, with 350 downloads so far.

How do I install CompoundOS - AI Operating System?

Run "/install miknas-compoundos" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is CompoundOS - AI Operating System free?

Yes, CompoundOS - AI Operating System is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does CompoundOS - AI Operating System support?

CompoundOS - AI Operating System is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created CompoundOS - AI Operating System?

It is built and maintained by miknasbh-stack (@miknasbh-stack); the current version is v1.0.0.

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