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 vaquarkhan/data-engineering-agent-skills --skill dataplex-and-bigquery-governancegit clone --depth 1 https://github.com/vaquarkhan/data-engineering-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/vaquarkhan/data-engineering-agent-skills/dataplex-and-bigquery-governance)<a href="https://agentmods.dev/skills/vaquarkhan/data-engineering-agent-skills/dataplex-and-bigquery-governance"><img src="https://agentmods.dev/badge/skills/vaquarkhan/data-engineering-agent-skills/dataplex-and-bigquery-governance/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/vaquarkhan/data-engineering-agent-skills/dataplex-and-bigquery-governance"><img src="https://agentmods.dev/badge/skills/vaquarkhan/data-engineering-agent-skills/dataplex-and-bigquery-governance.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00068 | $0.00636 |
| Opus 5 | $0.00034 | $0.00318 |
| Sonnet 5 | $0.00014 | $0.00127 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
dataplex-and-bigquery-governance 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.
This is a copy
88% identical to dataplex-and-bigquery-governance — 13 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dataplex And BigQuery Governance
Overview
Use this skill when governance on GCP is centered on Dataplex, BigQuery, and related Google Cloud metadata controls. It helps agents define governance zones, policy-tag boundaries, lineage expectations, and trusted publishing patterns for warehouse and lake platforms.
When to Use
- designing
Dataplexlakes, zones, or governance domains - defining
BigQuerypolicy tags and governed publish boundaries - improving metadata quality, lineage, and discovery on
GCP - aligning warehouse and lake governance across
Cloud Storage,BigQuery,Dataflow, andDataproc - making governed analytics delivery work with regional or regulated-data controls
Do not treat BigQuery governance as only a permissions problem. Trusted publishing also needs metadata, ownership, and policy boundaries.
Workflow
-
Define the governance boundary. Decide:
- lakes and zones
- datasets and domains
- producer versus consumer boundaries
- ownership expectations
-
Define metadata and policy controls. Include:
- policy tags
- classifications
- lineage coverage
- discovery metadata
- trusted versus exploratory asset signaling
-
Align lake and warehouse governance. Make explicit how
Cloud Storage,BigQuery, and processing services fit the same control model. -
Design governed publish behavior. Require:
- clear serving boundaries
- ownership visibility
- release or validation evidence where needed
- rules for schema and policy change
-
Validate day-2 operations. Review whether onboarding, schema evolution, and new domains remain manageable under the governance model.
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "Policy tags are the whole governance design." | Tags help, but they do not replace ownership, zone design, trusted publishing, or metadata quality. |
| "Dataplex is only for lake governance." | Many teams need a joined governance model across storage, warehouse, and processing surfaces. |
| "Discovery will happen automatically once assets are scanned." | Useful discovery requires curated metadata and trust signals. |
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 · 75 lines · 68 tokens per session scan A 628a35006cee
dataplex-and-bigquery-governance is a skill published in the GitHub repository vaquarkhan/data-engineering-agent-skills (45 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 636 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to dataplex-and-bigquery-governance, differing in 13 lines, and is treated as a copy.
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