# BalanceLab

> BalanceLab — sandeep-alluru-balancelab. Use this tool when you need to detect and prevent runaway loops in AI token economies, solving problems of inefficient resource allocation and economic instability. BalanceLab monitors token usage and cost ratios to identify potential issues, providing inputs such as token economy data and outputs like loop detection alerts. Use BalanceLab in contexts where AI agents interact with token-based systems to ensure economic balance and stability.

Canonical page: https://skillsregistry.net/skills/sandeep-alluru-balancelab  
JSON: https://api.skillsregistry.net/v1/skills/sandeep-alluru-balancelab

## Description

Runaway loop detector for AI token economies — monitors token usage and cost ratios to catch runaway agent loops early.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ylagth1l60)
- **Repository:** <https://github.com/sandeep-alluru/balancelab>

## 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": "sandeep-alluru-balancelab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandeep-alluru-balancelab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandeep-alluru-balancelab/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