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asteria-dq-auditor

Reconcile Asteria Fleet Data Quality Hub collections and produce JSON audit or certification answers for contact master, dispatch roster, fuel ledger, freight accrual, and maintenance history tasks using case_scope and answer_template payloads, hub endpoints, source snapshots, alias references, unit and FX normalization, survivor selection, compact control codes, and release decisions.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_021/fewshot/deepagents/fewshot_attempt_02/SKILL.md

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# Asteria DQ Auditor

## Overview

Use this skill to solve Asteria Fleet Data Quality Hub reconciliation tasks. The goal is to derive the requested JSON answer from the task prompt, `payloads/case_scope.json`, `payloads/answer_template.json`, `environment_access.md`, and the hub's public read-only data.

## Workflow

1. Read the task prompt, `case_scope.json`, `answer_template.json`, and `environment_access.md`.
2. Identify the collection family from the prompt/catalog: contacts, fuel, freight, or maintenance.
3. Fetch all records for the scoped collection with pagination. Use `collection=<collection_id>` for collection endpoints.
4. Fetch source snapshots and all needed reference tables before computing metrics.
5. Apply the rules in [references/reconciliation.md](references/reconciliation.md).
6. Fill only the fields required by the answer template, preserving every ordering rule.