# Variance Log

> Use this tool when you need to analyze and log statistical variations in conversation structures to identify unusual events and anomalies in AI interactions. It solves problems related to AI safety and alignment by detecting deviations from expected conversation patterns and providing insights into model behavior. The Variance Log tool takes conversation data as input and outputs logged unusual events to a SQLite database, making it ideal for researchers and developers working on AI communication pattern analysis.

Canonical page: https://skillsregistry.net/skills/truaxki-variance-log  
JSON: https://api.skillsregistry.net/v1/skills/truaxki-variance-log

## Description

This variance logging tool for MCP, developed by truaxki, analyzes statistical variations in conversation structures and logs unusual events to a SQLite database. Built with Python and leveraging the MCP library, it provides an automated way to detect anomalies in AI interactions. The implementation focuses on identifying and recording deviations from expected conversation patterns, with configurable thresholds for what constitutes an 'unusual' event. It's particularly useful for researchers and developers working on AI safety and alignment, enabling use cases like monitoring model behavior, detecting potential instabilities or biases, and gathering data for further analysis of AI communication patterns.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/truaxki-variance-log)
- **Repository:** <https://github.com/truaxki/mcp-variance-log>

## 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": "truaxki-variance-log"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/truaxki-variance-log` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/truaxki-variance-log/pull`

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