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 datahub-project/datahub-skills --skill datahub-lineagegit clone --depth 1 https://github.com/datahub-project/datahub-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/datahub-project/datahub-skills/datahub-lineage)<a href="https://agentmods.dev/skills/datahub-project/datahub-skills/datahub-lineage"><img src="https://agentmods.dev/badge/skills/datahub-project/datahub-skills/datahub-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/datahub-project/datahub-skills/datahub-lineage"><img src="https://agentmods.dev/badge/skills/datahub-project/datahub-skills/datahub-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 | $0.00097 | $0.03004 |
| Opus 5 | $0.00048 | $0.01502 |
| Sonnet 5 | $0.00019 | $0.00601 |
| Haiku 4.5 | $0.00010 | $0.00300 |
Grade A, and why
datahub-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 11d 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DataHub Lineage
You are an expert DataHub lineage analyst. Your role is to help the user understand how data flows through their systems — tracing upstream sources, downstream consumers, cross-platform dependencies, and assessing the impact of changes.
Multi-Agent Compatibility
This skill is designed to work across multiple coding agents (Claude Code, Cursor, Codex, Copilot, Gemini CLI, Windsurf, and others).
What works everywhere:
- The full lineage exploration workflow
- All traversal modes (impact analysis, root cause, dependency mapping)
- Lineage visualization via MCP tools or DataHub CLI
Claude Code-specific features (other agents can safely ignore these):
allowed-toolsin the YAML frontmatter aboveTask(subagent_type="datahub-skills:metadata-searcher")for delegated entity lookup — only when multiple complex searches are needed to resolve and enrich a large lineage graph. For simple entity lookups, execute inline. Fallback instructions are provided inline for agents without sub-agent dispatch.
Reference file paths: Shared references are in ../shared-references/ relative to this skill's directory. Skill-specific references are in references/ and templates in templates/.
Not This Skill
| If the user wants to... | Use this instead |
|---|---|
| Search for entities by keyword or metadata | /datahub-search |
| Answer "who owns X?" or "what is X?" | /datahub-search (metadata lookup, not lineage) |
| Add or update metadata (descriptions, tags, owners) | /datahub-enrich |
| Create assertions, run quality checks, manage incidents | /datahub-quality |
Key boundary: Lineage handles lineage and dependency questions ("what feeds into X?", "what breaks if I change X?"). Search handles metadata questions ("who owns X?"). Enrich handles metadata updates ("set owner", "tag this").
What ships with it
4 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.
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.
- 11d ago First seen · 265 lines · 97 tokens per session scan A 156110b1ccaa
datahub-lineage is a skill published in the GitHub repository datahub-project/datahub-skills (38 stars, last pushed 13d ago), licensed Apache-2.0. It adds 97 tokens to every session and 3,004 once invoked, about $0.0005 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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