# io.github.block/model-ledger

> io.github.block/model-ledger — block-model-ledger. Use this tool when you need to manage complex machine learning ecosystems, track model dependencies, and analyze the impact of changes on data pipelines. It provides a query interface to inventories of models, allowing AI agents to trace relationships and predict potential effects of updates. Ideal for use cases involving multi-model deployments, data lineage, and AI system maintenance.

Canonical page: https://skillsregistry.net/skills/block-model-ledger  
JSON: https://api.skillsregistry.net/v1/skills/block-model-ledger

## Description

Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mqs0ev0icz)
- **Repository:** <https://github.com/block/model-ledger>

## 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": "block-model-ledger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/block-model-ledger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/block-model-ledger/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