# codex-image-context-runtime

> codex-image-context-runtime — shixinnt-codex-image-context-runtime. Use this tool when you need to generate or inspect images as part of a larger workflow, and require a manageable context with bounded text results. It solves problems of image processing and analysis by returning references instead of image bytes, making it ideal for applications where memory efficiency is crucial. The codex-image-context-runtime takes image-related tasks as input and outputs text results and references, enabling efficient image generation and inspection in various contexts.

Canonical page: https://skillsregistry.net/skills/shixinnt-codex-image-context-runtime  
JSON: https://api.skillsregistry.net/v1/skills/shixinnt-codex-image-context-runtime

## Description

MCP server that enables Codex to run image generation and inspection as durable jobs, returning bounded text results and references instead of image bytes to keep context manageable.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c6so2ltbhe)
- **Repository:** <https://github.com/shixinnt/codex-image-context-runtime>

## 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": "shixinnt-codex-image-context-runtime"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shixinnt-codex-image-context-runtime` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shixinnt-codex-image-context-runtime/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