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Agent Skill · 研究检索

os-for-ai-agents(AIAgent 操作系统)

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。

os-for-ai-agents 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 28,468。

总安装 3,216周安装 134GitHub Stars 公开资料未说明下载 1,072核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.4

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install os-for-ai-agents;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

os-for-ai-agents 怎么安装?

在终端执行 openclaw skills install os-for-ai-agents。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

os-for-ai-agents 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

os-for-ai-agents 需要什么权限?

权限级别是接触敏感数据。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。

os-for-ai-agents 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

os-for-ai-agents 用的人多吗?

公开数据是累计安装 3,216 次,近一周安装 134 次,下载 1,072 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

os-for-ai-agents 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
os-for-ai-agents

AIAgent 操作系统 · 本页

3,216—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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