Individual skill
asteria-fleet-reconciliation
Solve Asteria Fleet "Data Quality Hub" reconciliation/certification tasks. Use when a task provides payloads/case_scope.json + payloads/answer_template.json and an environment_access.md pointing at a read-only Fleet Data Quality Hub, and asks for a reconciled/certified JSON audit of a contacts, fuel, freight, or maintenance collection (dedup overlapping source snapshots as of a cutoff, quarantine bad rows, normalize units & currency, resolve identities/categories, rank exceptions, assign opaque control codes, and decide a PASS/PASS_WITH_EXCEPTIONS/HOLD certification).
experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_021/fewshot/fewshot_attempt_03/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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Repository context
- Repository stars (not skill ratings)
- 121
- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- data Derived category
- security Derived category
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SKILL.mdcore · 5,249 bytesSKILL.mdcore · 5,249 bytesSKILL.mdcore · 5,249 bytesreferences/codebook.mddoc · 5,993 bytesreferences/data_model.mddoc · 4,273 bytesreferences/environment.mddoc · 3,718 bytesreferences/output_contract.mddoc · 2,816 bytesreferences/reconciliation.mddoc · 8,828 bytesscripts/hub_client.pyruns · 5,183 bytes
Read excerpt
# Asteria Fleet Data Quality Hub — reconciliation & certification
## When this applies
The task gives you `payloads/case_scope.json`, `payloads/answer_template.json`, an
`environment_access.md`, and a prompt about the "Asteria Fleet Data Quality Hub". The
collection belongs to one of four families — **contacts, fuel, freight, maintenance** —
but the underlying job is always the same: reconcile overlapping snapshots of one
collection as of a business cutoff, flag data-quality defects, normalize, assign Asteria's
opaque control codes, and emit one JSON object that matches the answer template exactly.
## Supporting files (read the ones you need)
- `references/environment.md` — how to reach the hub: creds, endpoints/filters, the
`POST /api/query` SQL interface, pagination.
- `references/data_model.md` — the 8 logical views and their fields, per family.