lineage

lineage is a skill for Claude Code, Codex from IBM/data-intelligence-mcp-server. It costs 166 tokens per session (3,646 once invoked), scanned A, original, Apache-2.0.

A guided skill for tracing where data comes from, where it goes, and how those relationships changed over time. Data lineage is the record of a dataset’s upstream sources and downstream uses.

In plain words
What is it for?
Use it to find lineage assets, trace upstream and downstream relationships, look up catalog assets, and compare historical lineage versions.
Why use it?
It helps identify the effect of changing an asset and clarifies data flows when names or catalog details are incomplete.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/ibm/data-intelligence-mcp-server/lineage
Any agent
npx skills add IBM/data-intelligence-mcp-server --skill lineage
Clone the repo
git clone --depth 1 https://github.com/IBM/data-intelligence-mcp-server

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lineage

README.md
[![agentmods](https://agentmods.dev/badge/skills/ibm/data-intelligence-mcp-server/lineage.svg)](https://agentmods.dev/skills/ibm/data-intelligence-mcp-server/lineage)
Your own site
<a href="https://agentmods.dev/skills/ibm/data-intelligence-mcp-server/lineage"><img src="https://agentmods.dev/badge/skills/ibm/data-intelligence-mcp-server/lineage.svg" alt="Measured on agentmods" height="20"></a>
Per session 166 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,646 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00166 $0.03646
Opus 5 $0.00083 $0.01823
Sonnet 5 $0.00033 $0.00729
Haiku 4.5 $0.00017 $0.00365

Measured 4d ago against content hash 7a61997cd64d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lineage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/lineage/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Lineage Guide

Overview

Use this skill any time the user wants to understand data flow, trace data origins, identify downstream impacts, or analyze how data pipelines have changed over time. This skill guides users through exploring data lineage relationships in a structured way, ensuring they understand the scope and depth of lineage traversal before executing queries.

Phase 0: Intent Detection and Entry Path Selection

Always start by understanding what the user wants to accomplish and which entry path is most appropriate:

Entry Path A: Direct Lineage Search (Lineage-First)

Use when the user mentions an asset name but doesn't specify a catalog/project context, or when they want to search across all lineage assets.

  • Tool: search_lineage_assets
  • Best for: "Find the lineage for CUSTOMER_360", "What feeds into the sales table?"
  • Supports: Optional filters for technology type and asset type

Entry Path B: Catalog Asset Lookup (Catalog-First)

Use when the user references a known catalog or project asset, or provides specific container context.

  • Tools: search_assetconvert_asset_to_lineage_id
  • Best for: "Show lineage for the ORDERS table in the sales catalog", "Trace the customer_data asset in AgentTest project"
  • Requires: Container context (catalog or project name)

Decision Logic:

  • If user mentions "catalog" or "project" name → Use Path B (Catalog-First)
  • If user only provides asset name without container → Use Path A (Lineage-First)
  • If uncertain → Ask user to clarify or default to Path A

Phase 1: Asset Identification

Locate the starting asset(s) in the lineage graph using the appropriate entry path.

Path A: Direct Lineage Search

Read the full file on GitHub · 322 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 322 lines · 166 tokens per session scan A 7a61997cd64d

Subscribe to this mod's changes

lineage is a skill published in the GitHub repository IBM/data-intelligence-mcp-server (19 stars, last pushed 28d ago), licensed Apache-2.0. It adds 166 tokens to every session and 3,646 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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