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 dagster-asset-checks-to-orchestragit 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/dagster-asset-checks-to-orchestra)<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/dagster-asset-checks-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-asset-checks-to-orchestra/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/dagster-asset-checks-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/dagster-asset-checks-to-orchestra.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 | $0.00109 | $0.02159 |
| Opus 5 | $0.00055 | $0.01079 |
| Sonnet 5 | $0.00022 | $0.00432 |
| Haiku 4.5 | $0.00011 | $0.00216 |
Grade A, and why
dagster-asset-checks-to-orchestra 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 12d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dagster Asset Checks -> Orchestra Test Jobs
Overview
Dagster data quality is expressed via @asset_check functions that return AssetCheckResult(passed=..., severity=...), built-in checks like build_metadata_bounds_checks, dbt tests surfaced through dagster-dbt, and ExpectationResult. Orchestra has native test job types for SQL-based checks across all major warehouses, with configurable error and warning thresholds.
Test Job Pattern
parameters:
statement: "SELECT COUNT(*) FROM orders WHERE amount < 0"
error_threshold_expression: "> 0" # FAIL if any negative amounts
warn_threshold_expression: "> 0" # WARN at same threshold (or looser)
The statement must return a single numeric value. The result is compared against the threshold expressions. Both default to "> 0" — fail if any rows match.
Available Test Integration Jobs
| Integration | integration_job |
Warehouse |
|---|---|---|
SNOWFLAKE |
SNOWFLAKE_RUN_TEST |
Snowflake |
GCP_BIG_QUERY |
GCP_BQ_RUN_TEST |
BigQuery |
POSTGRES |
POSTGRES_RUN_TEST |
PostgreSQL |
DATABRICKS |
DATABRICKS_RUN_TEST |
Databricks SQL |
FABRIC_SYNAPSE |
FABRIC_SYNAPSE_RUN_DQ_TEST |
Microsoft Fabric |
SNOWFLAKE |
SNOWFLAKE_SCHEMA_VALIDATION |
Column type/constraint checks |
SNOWFLAKE |
SNOWFLAKE_ANOMALY_DETECTION |
ML-based anomaly detection |
DBT_CORE |
DBT_CORE_EXECUTE with dbt test; |
dbt test framework |
Dagster Pattern Mapping
@asset_check returning AssetCheckResult -> *_RUN_TEST
A Dagster check passes when passed=True. Orchestra's test fails when the SQL result matches the threshold — so invert the logic.
# Dagster
@asset_check(asset=orders)
def no_null_order_ids(snowflake: SnowflakeResource):
with snowflake.get_connection() as conn:
nulls = conn.cursor().execute(
"SELECT COUNT(*) FROM orders WHERE order_id IS NULL").fetchone()[0]
return AssetCheckResult(passed=nulls == 0, metadata={"null_count": nulls})
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.
- 12d ago First seen · 257 lines · 109 tokens per session scan A 7ecc3167b6f2
dagster-asset-checks-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed 3d ago), licensed MIT. It adds 109 tokens to every session and 2,159 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 2026-08-31.
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