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experiments/claude_code_deepseek_v4_pro_max/reports/skills/task_group_021/self/self_attempt_02/SKILL.md

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# Asteria Fleet Data Quality Hub — Audit & Reconciliation Skill

## Purpose

Execute data-quality audit, entity reconciliation, canonical-master certification, and accrual-close tasks against the Asteria Fleet Data Quality Hub. This skill covers any task that: (a) involves the Asteria Fleet Data Quality Hub as the data source, (b) requires reconciling overlapping source records into canonical entities, (c) assigns opaque internal control/decision codes derived from business evidence, and (d) produces a certification or release decision from business thresholds.

## Trigger

Invoke this skill when the task prompt references the **Asteria Fleet Data Quality Hub**, instructs you to conform to an `answer_template.json` or `payloads/answer_template.json`, includes a `payloads/case_scope.json`, and/or mentions operations such as: contact-master certification, fuel-purchase audit, maintenance-log integrity certification, field-service roster readiness, or freight-charge accrual reconciliation.

## Environment Setup

Before any work, read `environment_access.md` at the task root. This file supplies:

- `base_url` — the actual origin for all API calls (overrides `<TASK_ENV_BASE_URL>`, `localhost`, `127.0.0.1`, and any `TASK_ENV_BASE_URL` env var)
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