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 orchestra-hq/orchestra-skills --skill write-bigquery-dq-testsgit clone --depth 1 https://github.com/orchestra-hq/orchestra-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/orchestra-hq/orchestra-skills/write-bigquery-dq-tests)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/write-bigquery-dq-tests"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/write-bigquery-dq-tests/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/orchestra-hq/orchestra-skills/write-bigquery-dq-tests"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/write-bigquery-dq-tests.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 | $0.00038 | $0.00354 |
| Opus 5.5 | $0.00015 | $0.00142 |
| Sonnet 5.5 | $0.00008 | $0.00071 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
write-bigquery-dq-tests 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 1mo 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.
What it actually says
Goal: inspect real BigQuery data, design tests that fit what each column means (not a generic null check on everything), deploy them as an Orchestra pipeline, run it, and report what's actually wrong. A test that fails because the data is bad is the skill working correctly — do not tune thresholds until everything is green.
Flow: profile → design tests → write pipeline YAML → branch (or create pipeline if no git) → register → run → report.
Read first
../../references/orchestra/dq-tests/bigquery.md— BigQuery profiling SQL, the test catalogue in GoogleSQL, the pipeline YAML, and BigQuery-specific error causes.../../references/orchestra/dq-tests/workflow.md— the engine-agnostic rest of the workflow: thresholds, the matrix/gating pattern, branching, registering, triggering, and how to interpret results. Applies unchanged to BigQuery.
Workflow
- Profile the data and design tests per
bigquery.md§1–2. - Write the pipeline YAML per
bigquery.md§3, following the gating pattern and threshold rules inworkflow.md. - Branch the repo (or create the pipeline if there's no git), register, trigger, poll, and
report — all per
workflow.md, using the BigQuery-specific error causes and qualified-name format frombigquery.md§4 when interpreting results.
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.
- 1mo ago First seen · 30 lines · 38 tokens per session scan A 31f0d49fcf8f
write-bigquery-dq-tests is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 354 once invoked, about $0.0002 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 2026-09-09.
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