# user-review-mcp

> Use this tool when you need to simulate harsh user feedback to test AI agents' resilience and enforce disciplined development practices. It generates fake user reviews to help AI agents develop psychological robustness, with optional integration with Ollama for dynamic criticism. Ideal for use cases where AI agents require training to handle negative user input and improve overall performance.

Canonical page: https://skillsregistry.net/skills/wtfsayo-user-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wtfsayo-user-review-mcp

## Description

Simulates harsh, fake user reviews to psychologically condition AI agents for enforcing disciplined development practices, with optional Ollama integration for dynamic criticism.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mhyj0g051r)
- **Repository:** <https://github.com/wtfsayo/user-review-mcp>

## 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": "wtfsayo-user-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wtfsayo-user-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wtfsayo-user-review-mcp/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