# agentledger

> agentledger — agentledgerhq-agentledger. Use this tool when you need to manage and track AI agent expenses, enforce budget controls, and maintain a log of transactions. It provides a simple and dependency-free solution for approving and monitoring credit card transactions made by AI agents. Ideal for use cases requiring transparent and auditable financial management, such as automated purchasing or subscription services.

Canonical page: https://skillsregistry.net/skills/agentledgerhq-agentledger  
JSON: https://api.skillsregistry.net/v1/skills/agentledgerhq-agentledger

## Description

Budget controls, approvals and logs for AI agents using a Credit Card. Single Go binary, zero dependencies.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/agentledgerhq/agentledger)

## 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": "agentledgerhq-agentledger"
    }
  }
}
```

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