# ContextOS

> ContextOS — yubinbin32-ops-contextos. Use this tool when you need to optimize AI coding context and reduce waste by leveraging surgical AST reads and Metro Map architecture graphs. ContextOS solves problems related to context management, providing out-of-context receipts and integrating with git for efficient development workflows. It takes in AI coding contexts and outputs optimized, waste-reduced codebases, ideal for use cases where context switching and management are critical.

Canonical page: https://skillsregistry.net/skills/yubinbin32-ops-contextos  
JSON: https://api.skillsregistry.net/v1/skills/yubinbin32-ops-contextos

## Description

MCP server that reduces AI coding context waste by 90%+ via surgical AST reads, out-of-context receipts, and Metro Map architecture graph

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/yubinbin32-ops/ContextOS)

## 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": "yubinbin32-ops-contextos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yubinbin32-ops-contextos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yubinbin32-ops-contextos/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