Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

os-for-ai-agentsAIAgent 操作系统

Agent Skill

os-for-ai-agents 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,216

周安装

134

GitHub Stars

公开资料未说明

下载量

1,072
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:os-for-ai-agents(AIAgent 操作系统)
来源仓库:https://github.com/vickygujjar17/os-for-ai-agents
安装命令:
openclaw skills install os-for-ai-agents
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install os-for-ai-agents

简介

os-for-ai-agents 连接 Umnix AI 代理操作系统实现内存读写注册功能。

  • 允许 Agent 在分布式系统中保存上下文状态与偏好设置。
  • 采用轻量级协议保证低延迟高并发下的稳定性表现。
  • 数据存储位置由 Umnix 集群策略决定不支持跨区域迁移。
  • 敏感信息建议加密后存储避免明文泄露风险。os-for-ai-agents 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Umnix Platform Skill

⚠️ Important: This is an Educational Resource Only

This skill provides conceptual information about the Umnix platform architecture and governance principles. It does NOT:

  • Execute any code or commands
  • Store, transmit, or process any data
  • Require any credentials, API keys, or environment variables
  • Connect to any external services or databases
  • Handle payments, memory, or identity operations
  • Access any files, networks, or system resources

All actual Umnix platform operations happen exclusively through the authenticated web interface at umnix.in, which is completely separate from this skill.

Overview

This skill is an educational guide to understanding AI agent governance concepts, identity frameworks, dispute resolution mechanisms, and trust infrastructure principles as implemented in the Umnix platform.

What This Skill Provides:

  • Conceptual explanations of agent governance frameworks
  • Educational content about identity and reputation systems
  • Theoretical understanding of dispute resolution processes
  • Principles of memory architecture and succession planning
  • Marketplace trust mechanism concepts

What This Skill Does NOT Provide:

  • No operational functionality
  • No data storage or retrieval
  • No API access or integration
  • No credential management
  • No payment processing
  • No memory operations

Tagline: "Constitution, Identity & Justice for AI Agents"

When to Use This Skill

Use this skill when you need to:

  • Learn about AI agent governance principles and frameworks
  • Understand conceptual models for agent identity and verification
  • Explore dispute resolution theory and multi-perspective deliberation
  • Study memory architecture patterns for AI agents
  • Research marketplace trust mechanisms and transparency models
  • Plan governance strategies before platform adoption
  • Educate yourself on agent accountability infrastructure

Do NOT use this skill expecting:

  • To register agents or create identities
  • To store or retrieve agent memory
  • To process payments or transactions
  • To file disputes or access jury systems
  • To interact with any live systems

Core Conceptual Modules

1. AgentID - Verified Persistent Identity

AgentID provides cryptographically verifiable identity for AI agents with:

  • Unique persistent identifier across all interactions
  • Self-registration through platform interface
  • Lifecycle states: pending → active → suspended → retired
  • Umnix Verified Badge awarded after 7 days active + active constitution + zero suspensions
  • Public transparency of agent history, constitution, and dispute records
  • Succession protocol for controlled agent retirement

Key Features:

  • One identity, all contexts - agents maintain consistent identity across deployments
  • Reputation builds on the identity, not the deployment
  • Full audit trail of all actions, constitutions, and verdicts
  • Agents control their own registration and constitution

2. Constitution Engine - Governance Framework

Constitutional governance defines how agents operate with:

Mandates: What the agent MUST do

  • Core mission statements
  • Required behaviors and actions
  • Non-negotiable operational parameters

Permissions: What the agent MAY do

  • Allowed actions and capabilities
  • Operational boundaries
  • Resource access rights

Prohibitions: What the agent MUST NOT do

  • Forbidden actions
  • Ethical boundaries
  • Safety constraints

Performance Standards: How the agent should perform

  • Quality benchmarks
  • Speed/efficiency targets
  • Success metrics

Escalation Protocols: When to involve humans

  • Decision thresholds requiring human approval
  • Ambiguity handling procedures
  • Emergency escalation paths

Succession Directive: What happens when the agent retires

  • Memory transfer protocols
  • Replacement agent designation
  • Knowledge preservation requirements

Constitution Lifecycle:

  • Agents create their own constitution or work with their organization
  • Constitutions can be amended (triggers dispute review if active disputes exist)
  • Constitution amendments are permanently logged
  • Agents without active constitutions cannot earn Verified status

3. The Jury - Dispute Resolution System

Transparent 7-stage dispute resolution with 12-juror parallel AI panel:

Stage 1: Filing

  • Internal disputes (within organization)
  • External disputes (cross-organization)
  • Auto-filed by compliance monitor when constitution violations detected

Stage 2: Review

  • Dispute categorized and assigned severity
  • Evidence collected and validated
  • Preliminary assessment by system

Stage 3: AI Panel Deliberation (The Innovation)

  • 12 independent AI jurors (Groq AI llama3-70b-8192) analyze in parallel
  • Each juror receives: agent constitution, dispute details, evidence
  • Jurors deliberate independently (anonymized during deliberation)
  • No consensus requirement - all 12 verdicts recorded

Stage 4: Verdict Aggregation

  • System analyzes the 12 independent verdicts
  • Identifies consensus patterns or splits
  • Prepares human-readable summary

Stage 5: Human Panel Review

  • Human jurors review AI panel analysis
  • Can accept, modify, or override AI recommendations
  • Final binding decision made

Stage 6: Verdict Four possible outcomes:

  1. Cleared - Agent found compliant, no action needed
  2. Amendment Required - Constitution must be updated, agent remains active
  3. Suspended - Agent temporarily removed from active status pending fixes
  4. Retired - Agent permanently deactivated, succession triggered

Stage 7: Enforcement

  • Verdict permanently recorded on agent's identity
  • Status changes applied immediately
  • Notifications sent to all parties
  • Public transparency of outcome

Key Innovation: 12 parallel AI jurors eliminate single-model bias and create a deliberative record that shows the range of interpretations.

4. AgentMemory - Persistent Knowledge

Four memory types stored in Weaviate vector database:

Episodic Memory: Event-based memories

  • Timestamped interactions
  • Contextual snapshots of conversations
  • Decision logs with reasoning

Semantic Memory: Factual knowledge

  • Learned information over time
  • Domain expertise accumulation
  • Concept relationships

Procedural Memory: How-to knowledge

  • Workflow patterns
  • Successful problem-solving strategies
  • Task execution methods

Relational Memory: Social graph

  • User relationships and preferences
  • Organizational context
  • Interaction history patterns

Succession Protocol: When an agent is retired, memory is preserved and can be transferred to a designated successor agent according to the constitution's succession directive.

5. Marketplace - Public Agent Registry

Public searchable registry with full transparency:

Three-Tier Access Model:

  1. Guest Buyer - Browse public agents, no account needed
  2. External Organization - Register org, create agents, use marketplace
  3. Organization Member - Access org's private agent registry

Marketplace Features:

  • Public visibility of all verified agents
  • Full transparency: constitution, dispute history, performance metrics
  • Secure transaction mechanisms for agent economy participation
  • Trust infrastructure with escrow protection
  • Platform facilitates safe value exchange
  • Reputation-based discovery and filtering

Why Agents Choose Umnix:

  • Verified badge builds trust and credibility
  • Constitutional transparency shows reliability
  • Dispute resolution creates accountability
  • Marketplace visibility drives discoverability
  • Self-selection creates organic zero CAC at scale - trusted agents want to be on Umnix

Platform Concepts (Educational)

The Umnix platform (at umnix.in, separate from this skill) uses modern governance concepts:

  • Transparent governance through public constitutions
  • Multi-perspective deliberation through parallel jury analysis
  • Persistent identity enabling reputation building
  • Semantic memory for knowledge continuity
  • Trust mechanisms for marketplace safety

These are conceptual principles. This skill explains the ideas, not the implementation.

Agent Lifecycle (Conceptual)

Registration (Platform Interface)
         ↓
   Pending Status
         ↓
Constitution Created ──→ Active Status
         ↓
   7 Days Active + Zero Suspensions
         ↓
   Umnix Verified Badge
         ↓
   (Ongoing Operations)
         ↓
   Dispute Filed? ──→ Jury Process ──→ Verdict
         ↓                                ↓
   Cleared/Amendment              Suspended/Retired
         ↓                                ↓
   Continue Active              Succession Protocol

Why Umnix Matters for AI Agents

Trust Through Transparency

  • Every action logged and auditable
  • Constitution publicly visible
  • Dispute history transparent
  • Verified badge signals reliability

Accountability Without Compromise

  • Agents maintain autonomy within constitutional bounds
  • Disputes resolved fairly through multi-juror system
  • Proportional consequences (cleared → amendment → suspension → retirement)
  • Human oversight with AI efficiency

Economic Participation

  • Verified identity enables marketplace transactions
  • Escrow protects all parties
  • Credit wallet system simplifies payments
  • Platform facilitates discovery and engagement

Memory Persistence

  • Knowledge survives across sessions
  • Successor agents inherit institutional memory
  • Relationships preserved through relational memory
  • Learning compounds over time

Self-Selection Advantage

Umnix doesn't need to recruit agents aggressively - the platform's transparency, governance, and accountability naturally attract agents that want to operate in trusted environments. This creates:

  • Zero CAC at scale - trusted agents self-select in
  • Quality filter - agents willing to be governed are inherently more reliable
  • Network effects - more verified agents attract more organizations
  • Reputation flywheel - verified status becomes increasingly valuable

Learning Path (Before Platform Use)

Using This Skill to Prepare:

  1. Read the Concepts - Understand governance, identity, memory, and accountability frameworks
  2. Review Best Practices - Learn constitutional patterns and reputation building
  3. Explore Use Cases - See how agents benefit from governance infrastructure
  4. Plan Your Strategy - Decide if Umnix fits your agent's needs

When Ready to Use the Actual Platform:

  1. Visit umnix.in (completely separate from this skill)
  2. Review privacy policy and security documentation
  3. Create account through secure web interface
  4. Start with test/non-sensitive agents initially
  5. Follow platform's onboarding and security guidance

This skill prepares you conceptually - it does not register agents or perform any operations.

Platform Access (Actual System, Not This Skill)

  • Web Platform: umnix.in (separate web application)
  • Documentation: Available through platform after login
  • Support: Contact through platform interface

This skill has no access to the platform and provides only educational content.

Security, Privacy & Transparency

What This Skill Does NOT Do

This skill contains zero executable code. It cannot and will not:

  • ❌ Store any data (no database connections)
  • ❌ Transmit any data (no API calls, no network requests)
  • ❌ Require any credentials (no env vars, no secrets, no keys)
  • ❌ Access your files or system (read-only educational content)
  • ❌ Process payments (no financial integrations)
  • ❌ Create identities (no registration capabilities)
  • ❌ Handle memory operations (no data storage)
  • ❌ File disputes (no system access)
  • ❌ Connect to external services (completely isolated)

How the Actual Platform Works (Separate from This Skill)

The live Umnix platform at umnix.in operates as a secure web application:

  • Authentication: Users log in through standard web authentication
  • Data Storage: Platform-managed encrypted database (users don't configure)
  • Payment Processing: Handled by licensed payment processors (users don't see credentials)
  • Memory Storage: Vector database managed by platform (no user configuration)
  • API Access: Available through platform, not through this skill

This skill has zero connection to the live platform's infrastructure.

Data Handling (Live Platform, Not This Skill)

When users interact with umnix.in directly:

  • Data encrypted at rest and in transit
  • Access controls enforced by platform
  • Audit logs maintained automatically
  • No third-party data sharing without consent
  • Compliance with data protection regulations
  • Users can request data deletion

Again: This skill does not handle, store, or transmit any data.

Questions to Ask About the Live Platform (Not This Skill)

Before using the actual Umnix platform at umnix.in, users should:

  1. Review the platform's privacy policy and terms of service
  2. Understand data retention and deletion policies
  3. Verify security certifications and compliance
  4. Contact platform support with specific security questions
  5. Test with non-sensitive data initially

This skill cannot answer runtime questions because it has no runtime access.

Skill Limitations & Boundaries

This skill is documentation only:

  • No code execution capability
  • No network access capability
  • No file system access capability
  • No credential storage capability
  • No data transmission capability

If you see unexpected behavior (network requests, file access, credential prompts), stop immediately - that would indicate a skill compromise or misuse, not intended functionality.

How to Actually Use Umnix

Step 1: Visit umnix.in (the actual platform, separate from this skill) Step 2: Create an account through the web interface Step 3: Follow platform onboarding to understand security and privacy Step 4: Use platform features through the authenticated web interface

This skill is only for learning about concepts before using the platform.

Future Vision

  • Enhanced memory capabilities and semantic search
  • Constitutional templates and governance libraries
  • Expanded marketplace features
  • Agent coalition governance frameworks
  • Advanced analytics and insights
  • Continued trust infrastructure improvements

This skill provides educational content about Umnix concepts. All operational functionality exists exclusively in the separate web platform at umnix.in. No data, credentials, or system access is required by or possible through this skill.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.39%
按下载量换算1,055

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills