Individual skill

asteria-fleet-data-quality-hub

Data quality audit, reconciliation, and certification for the Asteria Fleet Data Quality Hub. Use when the task involves auditing, reconciling, normalizing, or certifying fleet operational data (contacts, fuel transactions, freight charges, or maintenance events) against a read-only Hub API, or when the task requires assigning Asteria opaque control codes (IC, OR, FP, RB, SB, LD, MS, HR) based on data evidence. Trigger on phrases like 'Fleet Data Quality Hub', 'Asteria fleet', 'partner onboarding certification', 'fuel ledger audit', 'freight accrual reconciliation', 'maintenance log integrity', 'field service roster readiness', 'contact-readiness brief', or any task referencing environment_access.md with Asteria API endpoints.

experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_021/fewshot/deepagents/fewshot_attempt_03/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

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 · 9,302 bytes
SKILL.mdcore · 9,302 bytes
SKILL.mdcore · 9,302 bytes
SKILL.mdcore · 9,302 bytes
SKILL.mdcore · 9,302 bytes
SKILL.mdcore · 9,302 bytes
references/api_endpoints.mddoc · 5,392 bytes
references/control_codes.mddoc · 8,029 bytes
references/data_quality_rules.mddoc · 9,710 bytes

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# Asteria Fleet Data Quality Hub

## Quick Start

Every Asteria Fleet audit follows the same skeleton:

1. Read `environment_access.md` for `base_url` and `allowed_business_endpoints`.
2. Read the task's `case_scope.json` for the collection ID, business cutoff, and scoped decision IDs.
3. **Discover**: call `GET /api/catalog/collections` and `GET /api/catalog/schema` to confirm the collection shape.
4. **Source snapshots**: call `GET /api/source-snapshots` to identify the authoritative (certified) snapshot and any provisional duplicates.
5. **Fetch data**: use domain-specific endpoints or `POST /api/query` with pagination.
6. **Reconcile**: deduplicate (retain certified over provisional), quarantine invalid rows, detect mismatches.
7. **Normalize**: apply unit conversions (`/api/reference/conversions`) and FX (`/api/reference/fx`).
8. **Resolve focus entities**: merge clusters, select survivors, compute canonical values.