# Lineage Analysis

Trace relationships between semantic models and downstream reports across Fabric...

- Repository: https://github.com/data-goblin/power-bi-agentic-development (1079 stars)
- Category: Data and ML
- License: GPL-3.0
- Last updated: 2026-10-30
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add data-goblin/power-bi-agentic-development --skill lineage-analysis -g -a claude-code -y`
Codex: `npx skills add data-goblin/power-bi-agentic-development --skill lineage-analysis -g -a codex -y`
Cursor: `npx skills add data-goblin/power-bi-agentic-development --skill lineage-analysis -g -a cursor -y`
Gemini CLI: `npx skills add data-goblin/power-bi-agentic-development --skill lineage-analysis -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add data-goblin/power-bi-agentic-development`

## Description

Trace relationships between semantic models and downstream reports across Fabric workspaces. Automatically invoke when the user asks to "find downstream reports", "show report lineage", "impact analysis", "what depends on this dataset", "cross-workspace lineage", "which reports are connected", "get model dependencies", or mentions model-to-report dependency tracing.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Lineage Analysis

Trace downstream dependencies from a semantic model to all connected reports across the tenant. No admin permissions required -- workspace contributor access is sufficient.

## When to Use

- Before modifying or deleting a semantic model, to understand impact
- Auditing which reports are connected to a model and where they live
- Identifying orphaned or test reports connected to production models
- Cross-workspace dependency mapping

## Downstream Reports

Run `scripts/get-downstream-reports.py` to find all reports bound to a semantic model.

```bash
# By workspace and model name
python3 scripts/get-downstream-reports.py "Workspace Name" "Model Name"

# By dataset GUID directly
python3 scripts/get-downstream-reports.py --dataset-id <guid>

# JSON output for further processing
python3 scripts/get-downstream-reports.py "Workspace" "Model" --json
```

**Requirements:** `azure-identity`, `requests` (`pip install azure-identity requests`). Authenticated via `DefaultAzureCredential` (works with `az login`, managed identity, or environment variables).

**How it works:** Lists all workspaces the user can access, then queries each workspace's reports in parallel (8 workers) checking `datasetId`. Groups results by workspace. Typically completes in under 10 seconds for ~100 workspaces.

**Permissions:** Workspace contributor or higher on any workspace to be scanned. Reports in workspaces without access will not appear. For full tenant coverage, use the `--dataset-id` flag with a tenant admin token and the `admin/reports` API instead.

## Limitations

The rest: https://github.com/data-goblin/power-bi-agentic-development/blob/HEAD/plugins/semantic-models/skills/lineage-analysis/SKILL.md