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results-and-integrations【开发与工程】Use for Deepchecks result export, JSON recovery, CI gating, pytest assertions, and safe integration-adapter patterns.
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Use this sub-skill when a task already has a Deepchecks CheckResult or SuiteResult, or when the user asks how to preserve, display, serialize, reconstruct, or gate Deepchecks results in tests and pipelines.
This sub-skill owns result handling and integration control flow only. Route construction of Deepchecks inputs and suites elsewhere:
Dataset, tabular checks, and tabular suites: ../tabular-validation/SKILL.md.TextData, text properties, embeddings, labels, and NLP suites: ../nlp-validation/SKILL.md.VisionData, batch loaders, Hugging Face model-output adapters, and vision suites: ../vision-validation/SKILL.md.Do not bundle or run Airflow/S3/H2O/Hugging Face examples as scripts: those patterns can require credentials, network access, external services, model downloads, or large data. Distill their control flow, make side effects explicit, and prefer precomputed predictions or local artifacts in CI.
result.save_as_html("deepchecks_report.html", connected=False) for an HTML report.result.to_json(with_display=False) for a smaller CI gate JSON, or with_display=True when later display reconstruction matters.assert check_result.passed_conditions(fail_if_warning=True).assert suite_result.passed(fail_if_warning=True, fail_if_check_not_run=True) for a conservative CI gate.