# Vibe Check

> Use this tool when you need to prevent cascading errors in AI workflows by implementing strategic pattern interrupts and enhancing complex workflow strategy. It takes in AI workflow inputs and outputs optimized workflow strategies, using "Vibe Check" with LearnLM 1.5 Pro to fine-tune pedagogy and metacognition. Ideal for use in high-stakes AI workflows where tunnel vision errors and contextual drift can have significant consequences.

Canonical page: https://skillsregistry.net/skills/pv-bhat-vibe-check  
JSON: https://api.skillsregistry.net/v1/skills/pv-bhat-vibe-check

## Description

The definitive Vibe Coder's sanity check Model Context Protocol (MCP) server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.

- Prevent cascading errors in AI workflows by implementing strategic pattern interrupts.
- Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.
- Implements "Vibe Distill" to encourage plan simplification, prevent over-engineering solutions, and minimize contextual drift in agents.
- Self-improving feedback loops: Agents can log mistakes into "Vibe Learn" to improve semantic recall and help the oversight AI target patterns over time.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pv-bhat-vibe-check)
- **Repository:** <https://github.com/pv-bhat/vibe-check-mcp-server>

## 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": "pv-bhat-vibe-check"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pv-bhat-vibe-check` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pv-bhat-vibe-check/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