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.
npx agentmods add skills/ibm/data-intelligence-mcp-server/lineagenpx skills add IBM/data-intelligence-mcp-server --skill lineagegit clone --depth 1 https://github.com/IBM/data-intelligence-mcp-serverWrote 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.
[](https://agentmods.dev/skills/ibm/data-intelligence-mcp-server/lineage)<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>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.
| Model | Per session | Once 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 |
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.
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_asset→convert_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
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.
- 4d ago First seen · 322 lines · 166 tokens per session scan A 7a61997cd64d
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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