Individual skill
asteria-fleet-dq-hub
Reconcile and certify fleet data-quality audits using the Asteria Fleet Data Quality Hub. Use this skill whenever the user mentions Asteria, Fleet Data Quality Hub, data reconciliation, fleet audits, cargo/fuel/freight/maintenance/contact/roster certification, partner onboarding, carrier accrual, fuel ledger, field-service roster, or any task that references an Asteria API with collections, snapshots, and an answer template. Even if the task is phrased generically, use this skill when the user points at a read-only API with catalog, schema, source-snapshots, and query endpoints.
experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_021/fewshot/cc/fewshot_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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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
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SKILL.mdcore · 13,040 bytesSKILL.mdcore · 13,040 bytesSKILL.mdcore · 13,040 bytesSKILL.mdcore · 13,040 bytesSKILL.mdcore · 13,040 bytesSKILL.mdcore · 13,040 bytesSKILL.mdcore · 13,040 bytesSKILL.mdcore · 13,040 bytesreferences/api_endpoints.mddoc · 7,864 bytesreferences/code_systems.mddoc · 7,808 bytesscripts/query.pyruns · 2,985 bytes
Read excerpt
# Asteria Fleet Data Quality Hub Reconciliation
Work through every fleet audit task using the same reusable pipeline: discover
the data landscape, load and reconcile records across overlapping sources,
assign internal control codes, and produce a JSON answer matching the supplied
answer template exactly.
## Core Workflow
Execute these phases in order; each phase depends on the previous one.
### Phase 1 — Read the case scope
Start by reading two files the task always provides: