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asteria-data-quality-hub

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Reconcile Asteria Fleet Data Quality Hub collections and produce schema-exact JSON audit or certification answers. Use when a task mentions Asteria Fleet Data Quality Hub, case_scope.json, answer_template.json, environment_access.md, and partner/dealer/roster contacts, fuel purchases, freight charges, or maintenance event data quality audits.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_021/fewshot/deepagents/fewshot_attempt_03/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Asteria Data Quality Hub

## Core Workflow

1. Read the prompt, `payloads/case_scope.json`, `payloads/answer_template.json`, and `environment_access.md` before querying the hub.
2. Treat `answer_template.json` as the output contract. Extract required keys, allowed enums, ordering rules, item counts, uniqueness rules, and numeric precision before doing calculations. Some templates are JSON Schema; others are compact field contracts.
3. Use the hub metadata first:
   - `GET /api/catalog/collections` to confirm `collection_id`, family, approximate count, and source systems.
   - `GET /api/catalog/schema` to confirm view/field names.
4. Fetch the complete collection and support references. Prefer the bundled helper:

```bash
python <skill-dir>/scripts/fetch_hub_collection.py \
  --env environment_access.md \
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