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 collibra/chip --skill lineagegit clone --depth 1 https://github.com/collibra/chipWrote 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/collibra/chip/lineage)<a href="https://agentmods.dev/skills/collibra/chip/lineage"><img src="https://agentmods.dev/badge/skills/collibra/chip/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/collibra/chip/lineage"><img src="https://agentmods.dev/badge/skills/collibra/chip/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 | $0.00026 | $0.00860 |
| Opus 5.5 | $0.00010 | $0.00344 |
| Sonnet 5.5 | $0.00005 | $0.00172 |
| Haiku 4.5 | $0.00003 | $0.00086 |
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 2mo 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical lineage
Technical lineage maps the physical data flow — including unregistered assets, temporary tables, and source code — across systems. This is broader than business lineage (which only covers cataloged Collibra assets). Almost every lineage question follows the same three-stepit shape:
- Resolve the entity with
search_lineage_entities(the entry point). - Walk the graph with
get_lineage_upstreamorget_lineage_downstream. - Selectively resolve the most relevant entities with
get_lineage_entity. Do not resolve every ID — summarize from graph structure.
get_lineage_transformation returns SQL or script bodies; only call it when the user asks to
see the actual transformation logic. search_lineage_transformations is a specialized search
by transformation name, not a general entry point.
Hard rule: lineage IDs are not DGC UUIDs
get_lineage_upstream, get_lineage_downstream, get_lineage_entity, and
get_lineage_transformation all use lineage entity IDs, which live in a separate ID
space from Collibra DGC asset UUIDs. Passing a DGC UUID directly to any of these tools will
fail or return the wrong entity.
The only bridge from a DGC asset to the lineage graph is:
search_lineage_entities(dgcId=<DGC UUID>) → lineage entity ID
Always start there when the user gives you a catalog asset.
Column-level lineage limitation
search_lineage_entities cannot reliably resolve columns:
nameContainsdoes not work for columns — the lineage graph does not expose column names through that filter.dgcIddoes not reliably resolve column UUIDs because there is no consistent mapping between catalog column UUIDs and lineage column entity IDs.
The workaround: find the parent table first, then walk into its columns from the lineage
graph. See references/column-lineage-workaround.md.
Workflows
Upstream sources for an asset
search_lineage_entities(nameContains="<table-name>")or(dgcId=<UUID>)→ entity IDget_lineage_upstream(entityId=<id>)→ source entities + transformation IDs (paginated)- Summarize the graph. If the user wants details on a specific source, call
get_lineage_entityfor that one ID. - Only call
get_lineage_transformationif the user wants the SQL or script body.
What ships with it
1 file 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.
- 2mo ago First seen · 82 lines · 26 tokens per session scan A 2038f393acae
lineage is a skill published in the GitHub repository collibra/chip (37 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 860 once invoked, about $0.0001 per session on Opus 5.5. 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.
lineage compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lineagecollibra/chip | Skill | 37 | yesterday | Apache-2.0 | A | 26 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |