# kontra-ki

> kontra-ki — maldaror-kontra-ki. Use this tool when you need to critically evaluate ideas and concepts by sending them to a local LM-Studio AI for review and feedback. It solves problems of idea validation and concept testing by providing an automated critical examination process. The tool accepts ideas as input and returns feedback and evaluation results as output, ideal for use cases where objective assessment is required, such as in research, development, and innovation projects.

Canonical page: https://skillsregistry.net/skills/maldaror-kontra-ki  
JSON: https://api.skillsregistry.net/v1/skills/maldaror-kontra-ki

## Description

MCP server that sends ideas to a local LM Studio model for adversarial review

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **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/Maldaror/kontra-ki)

## 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": "maldaror-kontra-ki"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maldaror-kontra-ki` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maldaror-kontra-ki/pull`

---
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