Individual skill
asteria-fleet-dq-certification
Execute an Asteria Fleet Data Quality Hub audit/certification task — reconcile overlapping source records over the network using environment_access.md, resolve canonical entities, classify quality issues, normalize units/currency, assign internal control codes, and emit one JSON answer that conforms exactly to the task's answer_template.json. Use whenever a task names the Asteria Fleet Data Quality Hub, references <TASK_ENV_BASE_URL> / environment_access.md, and asks for a reconciled audit plus a certification/release decision returned as a single JSON object (fuel, freight, maintenance, contact-master, or field-service-roster collections).
experiments/claude_code_glm_5_2_max/reports/skills/task_group_021/fewshot/fewshot_attempt_03/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- 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
- security Derived category
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SKILL.mdcore · 8,387 bytesSKILL.mdcore · 8,387 bytesSKILL.mdcore · 8,387 bytesSKILL.mdcore · 8,387 bytesSKILL.mdcore · 8,387 bytesreferences/control_codes.mddoc · 2,204 bytesreferences/hub_endpoints.mddoc · 2,538 bytesreferences/output_contract.mddoc · 1,699 bytesreferences/reconciliation_workflow.mddoc · 3,188 bytes
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# Asteria Fleet Data Quality Hub — Audit & Certification
This skill executes any task in the Asteria Fleet Data Quality Hub family.
Every task is the same shape — only the collection, cutoff, focus items, and
output contract differ. Follow the procedure below; do not special-case a
domain unless its own task materials require it. Do not copy specific answers
from any prior task; re-derive everything from the current task's records.
## Inputs (read in this order)
1. `prompt.txt` — the business narrative: which collection/cutoff to audit,
what to reconcile, what to report, and any domain-specific rule.
2. `payloads/case_scope.json` — scoped parameters: `collection_id`, the cutoff
(`business_cutoff` / `cutoff_at` / `as_of` / `business_period`), focus