Individual skill
asteria-dq-hub-audits
Reconcile Asteria Fleet Data Quality Hub audit tasks that provide payloads/case_scope.json and payloads/answer_template.json. Use for contact canonicalization and readiness, fuel or freight transaction normalization, maintenance-log integrity, duplicate snapshot resolution, quarantine and mismatch reporting, code decision panels, rollups, rankings, and PASS/HOLD certification decisions.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_021/fewshot/codex/fewshot_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Oct 29, 2026
- License
- Apache-2.0
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- agent Repository topic
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- data Derived category
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SKILL.mdcore · 3,538 bytesSKILL.mdcore · 3,538 bytesSKILL.mdcore · 3,538 bytesSKILL.mdcore · 3,538 bytesSKILL.mdcore · 3,538 bytesSKILL.mdcore · 3,538 bytesagents/openai.yamlasset · 224 bytesreferences/audit_workflow.mddoc · 8,988 bytesscripts/fetch_hub.pyruns · 2,763 bytes
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# Asteria DQ Hub Audits
## Required Inputs
Read the task prompt, `payloads/case_scope.json`, `payloads/answer_template.json`, and `environment_access.md` before querying the hub. Treat the answer template as the output contract: required keys, allowed enums, numeric precision, uniqueness, and ordering rules come from the template and case scope.
Read [references/audit_workflow.md](references/audit_workflow.md) before computing an answer. It contains the reusable reconciliation rules, code mappings, and family-specific audit recipes.
## Data Access
Use only the base URL and endpoints listed in `environment_access.md`. The public REST endpoints return:
```json
{"items": [], "limit": 100, "offset": 0, "total": 0}