# oracle-models

> Use this tool when you need to optimize AI model selection for coding tasks and classify development task complexity. It solves problems related to inefficient model usage and high costs by recommending the most cost-efficient AI model per provider. The tool takes development task details as input and outputs a complexity classification (LIGHT/MEDIUM/HEAVY) and a recommended AI model.

Canonical page: https://skillsregistry.net/skills/vanppsa-oracle-models  
JSON: https://api.skillsregistry.net/v1/skills/vanppsa-oracle-models

## Description

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f89fqct180)
- **Repository:** <https://github.com/vanppsa/oracle-models>

## 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": "vanppsa-oracle-models"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vanppsa-oracle-models` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vanppsa-oracle-models/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
