# ledgermind

> Use this tool when you need to detect and prevent cost anomalies and abuse patterns in large language models. Ledgermind provides a local proxy for cost and token forensics, analyzing inputs and outputs to identify suspicious activity, and exports results via MCP for autonomous agent review. It solves problems of unauthorized usage and financial exposure, making it ideal for security teams to monitor and optimize LLM deployments.

Canonical page: https://skillsregistry.net/skills/cognis-digital-ledgermind  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-ledgermind

## Description

Local LLM cost & token forensics proxy with anomaly detection, enabling security teams to scan for cost anomalies and abuse patterns, and expose results via MCP for autonomous agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qgdm5fobhk)
- **Repository:** <https://github.com/cognis-digital/ledgermind>

## 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": "cognis-digital-ledgermind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-ledgermind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-ledgermind/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