Individual skill

asteria-dq-hub

Use when the task involves reconciling, auditing, certifying, or computing derived metrics from the Asteria Fleet Data Quality Hub REST API. Triggers on mentions of Asteria, Fleet Data Quality Hub, fleet data reconciliation, partner onboarding certification, fuel audit, maintenance event audit, field-service roster, freight charge audit, or any task that supplies a case_scope.json plus an answer_template.json and references a base URL for a read-only data quality API. Also use when the user asks to audit or reconcile fleet, fuel, freight, maintenance, or contact data from an HTTP API.

experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_021/fewshot/opencode/fewshot_attempt_01/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 121
Repository last updated: Oct 29, 2026
License: Apache-2.0

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benchmark Repository topic
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self-evolving Repository topic
self-learning Repository topic
skills Repository topic
data Derived category
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SKILL.mdcore · 9,446 bytes
SKILL.mdcore · 9,446 bytes
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SKILL.mdcore · 9,446 bytes
references/api-endpoints.mddoc · 5,893 bytes
references/domains.mddoc · 15,784 bytes
scripts/README.mddoc · 1,874 bytes
scripts/fetch_all.pyruns · 2,757 bytes

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# Asteria Fleet Data Quality Hub

Reconcile, audit, and certify data from the Asteria Fleet Data Quality Hub — a
multi-source, multi-snapshot REST API. Every task follows the same structural
pattern: discover the hub, fetch the data, reconcile overlapping sources,
validate records, compute aggregates, assign opaque decision codes, and return
one JSON object that conforms exactly to a provided answer template.

## Task structure

Every Asteria DQ Hub task supplies two artifacts:

- **`case_scope.json`** — runtime parameters: which collection to audit, the
  business cutoff, focus records, decision-panel IDs, ranking policies, and