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asteria-fleet-dq-certification

Execute an Asteria Fleet Data Quality Hub audit/certification task — reconcile overlapping source records over the network using environment_access.md, resolve canonical entities, classify quality issues, normalize units/currency, assign internal control codes, and emit one JSON answer that conforms exactly to the task's answer_template.json. Use whenever a task names the Asteria Fleet Data Quality Hub, references <TASK_ENV_BASE_URL> / environment_access.md, and asks for a reconciled audit plus a certification/release decision returned as a single JSON object (fuel, freight, maintenance, contact-master, or field-service-roster collections).

experiments/claude_code_glm_5_2_max/reports/skills/task_group_021/fewshot/fewshot_attempt_03/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Asteria Fleet Data Quality Hub — Audit & Certification

This skill executes any task in the Asteria Fleet Data Quality Hub family.
Every task is the same shape — only the collection, cutoff, focus items, and
output contract differ. Follow the procedure below; do not special-case a
domain unless its own task materials require it. Do not copy specific answers
from any prior task; re-derive everything from the current task's records.

## Inputs (read in this order)

1. `prompt.txt` — the business narrative: which collection/cutoff to audit,
   what to reconcile, what to report, and any domain-specific rule.
2. `payloads/case_scope.json` — scoped parameters: `collection_id`, the cutoff
   (`business_cutoff` / `cutoff_at` / `as_of` / `business_period`), focus
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