# noisefloor

> noisefloor — beepboop2025-noisefloor. Use this tool when you need to determine if a numerical change is statistically significant or just noise, and you want to perform peek-safe A/B tests without inflating false positives. It provides two-sided change detection and sample size guards, making it ideal for evaluating metric changes. The tool takes numerical inputs and returns a determination of whether the change is real or noise, making it suitable for data analysis and statistical testing.

Canonical page: https://skillsregistry.net/skills/beepboop2025-noisefloor  
JSON: https://api.skillsregistry.net/v1/skills/beepboop2025-noisefloor

## Description

Checks whether a number is real or just noise: peek-safe A/B tests you can look at as often as you like without inflating false positives, two-sided change detection, and a guard for when a metric moved only because its sample size did. Zero dependencies, standard library only.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qd2jdoa87u)
- **Repository:** <https://github.com/beepboop2025/noisefloor>

## 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": "beepboop2025-noisefloor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/beepboop2025-noisefloor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/beepboop2025-noisefloor/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
