# codex-multi-subscription-auth-fallbacks

> codex-multi-subscription-auth-fallbacks — markeljan-codex-multi-subscription-auth-fallbacks. Use this tool when you need to implement robust authentication for OpenClaw multi-provider setups, solving issues with authentication failures and model compatibility. It enables seamless OAuth fallbacks using OpenAI Codex profiles and automatic model switching, taking input from authentication requests and outputting secured access to AI models. Ideal for use cases requiring reliable and flexible authentication in AI-powered applications.

Canonical page: https://skillsregistry.net/skills/markeljan-codex-multi-subscription-auth-fallbacks  
JSON: https://api.skillsregistry.net/v1/skills/markeljan-codex-multi-subscription-auth-fallbacks

## Description

Set up OpenClaw multi-provider auth with OpenAI Codex OAuth fallback profiles and automatic model switching.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/markeljan-codex-multi-subscription-auth-fallbacks)

## 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": "markeljan-codex-multi-subscription-auth-fallbacks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markeljan-codex-multi-subscription-auth-fallbacks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markeljan-codex-multi-subscription-auth-fallbacks/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