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 skills add j4flmao/agent-skills --skill data-lineagegit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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/j4flmao/agent-skills/data-lineage)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/data-lineage"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/data-lineage/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/j4flmao/agent-skills/data-lineage"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/data-lineage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00123 | $0.04840 |
| Opus 5 | $0.00062 | $0.02420 |
| Sonnet 5 | $0.00025 | $0.00968 |
| Haiku 4.5 | $0.00012 | $0.00484 |
Grade A, and why
data-lineage scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:5000/api/v1/namespaces/prod_warehouse/datasets How it starts
The opening of the file, as written. The whole thing — 595 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Lineage
Purpose
Capture, store, query, and visualize end-to-end data lineage from source systems through transformations to dashboards, supporting impact analysis, root cause investigation, and data governance compliance.
Agent Protocol
Trigger
Exact user phrases: "data lineage", "OpenLineage", "Marquez", "DataHub lineage", "column-level lineage", "impact analysis", "data provenance", "lineage graph", "data dependency", "producer consumer lineage", "field-level lineage".
Input Context
Before activating, verify:
- Source systems (databases, event streams, file systems)
- Transformation tools (dbt, Airflow, Spark, custom SQL)
- Existing lineage infrastructure (OpenLineage, DataHub, Amundsen, manual)
- Compliance requirements (GDPR, SOX, BCBS 239)
- Consumer tools (Looker, Tableau, custom dashboards)
Output Artifact
Lineage configuration with OpenLineage integration, Marquez deployment, column-level lineage SQL parser config, and impact analysis report.
Response Format
# OpenLineage integration config
# Marquez deployment
# Lineage event emission
# SQL parser setup
# Lineage extraction queries
No preamble. No postamble. No explanations. No filler/hedging/transitions. Compress output — why use many token when few do trick.
Completion Criteria
- OpenLineage configured for Airflow/dbt/Spark integration
- Marquez or DataHub deployed for lineage storage and querying
- Column-level lineage extracted via SQL parser
- Impact analysis queryable for any dataset
- Lineage visualized in UI with upstream/downstream navigation
- Automated lineage collection integrated into CI/CD
- Backward lineage (producers) and forward lineage (consumers) documented
Max Response Length
300 lines of code and configuration.
Lineage Graph Model
Core Entities
Dataset (table, file, topic) → Transformation (dbt model, Spark job, SQL query) → Consumer (dashboard, report, ML model)
Each entity has a unique identifier (FQN), type, and metadata. Edges represent data flow: Dataset —[produces]→ Transformation —[consumes]→ Dataset.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/column-lineage.md 9.0 KB
- references/lineage-automation.md 928 B
- references/lineage-governance.md 949 B
- references/lineage-graph-model.md 4.3 KB
- references/lineage-impact-analysis.md 5.5 KB
- references/lineage-tools.md 7.9 KB
- references/lineage-visualization.md 4.9 KB
- references/openlineage-integration.md 2.9 KB
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.
- 8d ago First seen · 595 lines · 123 tokens per session scan A d9a01355b2db
data-lineage is a skill published in the GitHub repository j4flmao/agent-skills (23 stars, last pushed 6d ago), licensed MIT. It adds 123 tokens to every session and 4,840 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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