# agentos-sdk

> agentos-sdk — agentossoftware-agentos-sdk. Use this tool when you need to establish transparency and accountability in AI systems, solving problems of trust and explainability in machine learning models. The AgentOS SDK provides a comprehensive infrastructure for tracking and managing AI decision-making, accepting inputs from various AI models and outputs in the form of explainable insights. It is ideal for use cases where regulatory compliance, auditability, and model interpretability are crucial.

Canonical page: https://skillsregistry.net/skills/agentossoftware-agentos-sdk  
JSON: https://api.skillsregistry.net/v1/skills/agentossoftware-agentos-sdk

## Description

AgentOS is a complete accountability infrastructure for AI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/agentossoftware-agentos-sdk)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agentossoftware-agentos-sdk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentossoftware-agentos-sdk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentossoftware-agentos-sdk/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt