# AIS Revizor

> AIS Revizor — bswvladimir-beep-ais-revizor. Use this tool when you need to debug and troubleshoot AI-coded applications, especially when dealing with complex runtime executions. The AIS Revizor provides runtime visibility and AI-managed debug logging, replacing traditional print() debugging with causal chains to instantly locate bugs in Python and TypeScript code. It offers a single binary with MCP, CLI, and HTTP interfaces for seamless integration and debugging.

Canonical page: https://skillsregistry.net/skills/bswvladimir-beep-ais-revizor  
JSON: https://api.skillsregistry.net/v1/skills/bswvladimir-beep-ais-revizor

## Description

A local-first MCP server that gives AI coding agents runtime visibility and AI-managed debug logging. It replaces blind print() debugging by turning runtime execution into causal chains, allowing agents to instantly locate bugs by finding missing .success events in Python and TypeScript code. Single binary with MCP, CLI, and HTTP interfaces.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dug469po25)
- **Repository:** <https://github.com/bswvladimir-beep/AIS-Revizor>

## 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": "bswvladimir-beep-ais-revizor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bswvladimir-beep-ais-revizor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bswvladimir-beep-ais-revizor/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