Borrowing it
Nothing to install: this file belongs to ubie-oss/dbt-data-privacy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ubie-oss/dbt-data-privacy/main/.claude/skills/dbt-custom-generic-test/SKILL.mdgit clone --depth 1 https://github.com/ubie-oss/dbt-data-privacyWrote 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/ubie-oss/dbt-data-privacy/dbt-custom-generic-test)<a href="https://agentmods.dev/skills/ubie-oss/dbt-data-privacy/dbt-custom-generic-test"><img src="https://agentmods.dev/badge/skills/ubie-oss/dbt-data-privacy/dbt-custom-generic-test/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/ubie-oss/dbt-data-privacy/dbt-custom-generic-test"><img src="https://agentmods.dev/badge/skills/ubie-oss/dbt-data-privacy/dbt-custom-generic-test.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 | $0.00077 | $0.00828 |
| Opus 5 | $0.00039 | $0.00414 |
| Sonnet 5 | $0.00015 | $0.00166 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
dbt-custom-generic-test 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 10d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dbt custom generic data test (this repo)
When to use
- Adding or changing a custom generic data test (
{% test my_test(model, column_name, ...) %}). - Wiring adapter.dispatch for warehouse-specific SQL (here: BigQuery).
- Adding macro schema docs (
macros:/test_<name>) or an integration_tests model +data_tests. - Debugging
test_<name>is undefined or shadowing between the package andintegration_tests.
When not to use
- Singular (data) tests in
tests/that are not reusable generic tests—use normal dbt test guidance. - Warehouse features unrelated to test macro structure.
Workflow (short)
- Read the official guide: Writing custom generic data tests (standard args, YAML usage, documenting
test_<name>). - Open the detailed checklist: references/checklist.md.
- Mirror the k_anonymity layout under
macros/generic_tests/<name>/and integration fixtures underintegration_tests/models/generic_tests/<name>/unless there is a reason not to. - Validate with
make run-unit-tests; usemake run-integration-testswhen SQL execution or BigQuery behavior changes (seeAGENTS.md).
This skill keeps SKILL.md short for discovery and puts procedural detail in references/checklist.md (progressive disclosure).
Canonical paths (examples)
| Concern | Example in repo |
|---|---|
Generic test + bigquery__test_* (k-anonymity) |
macros/generic_tests/k_anonymity/k_anonymity.sql |
Generic test + bigquery__test_* (l-diversity) |
macros/generic_tests/l_diversity/l_diversity.sql |
| Validation + query SQL | k_anonymity_validate_arguments.sql, k_anonymity_query_sql_impl.sql |
| Macro property docs | k_anonymity.yml (name: test_k_anonymity) |
| Integration fixture + qualified test | schema.yml (dbt_data_privacy.k_anonymity) |
| Macro unit test (name must not shadow generic test) | test_k_anonymity.sql |
| Macro unit test (l-diversity) | test_l_diversity.sql |
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.
- 10d ago First seen · 50 lines · 77 tokens per session scan A bc6440ceaf37
dbt-custom-generic-test is a skill published in the GitHub repository ubie-oss/dbt-data-privacy (22 stars, last pushed 9d ago), licensed Apache-2.0. It adds 77 tokens to every session and 828 once invoked, about $0.0004 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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