Menu

Individual skill

asteria-fleet-data-quality-reconciliation

0upvotes

Solve Asteria Fleet Data Quality Hub reconciliation/certification tasks — reconcile overlapping source snapshots of fuel, freight, maintenance, and contact collections, compute quality/normalization metrics, infer opaque control codes, and emit the JSON certification answer. Read BEFORE acting on any task that names the "Asteria Fleet Data Quality Hub", mentions source-snapshot reconciliation, business cutoffs, canonical entities, quarantine, mismatch/unrecognized categories, channel readiness, or opaque Asteria control codes (IC/OR/FP, RB/SB/LD, MS/HR).

experiments/claude_code_glm_5_2_max/reports/skills/task_group_021/reflect-3/reflect-3_attempt_01/SKILL.md

Read pinned source

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.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

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.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Asteria Fleet Data Quality Hub Reconciliation

A family of tasks asks you to audit one Asteria Fleet collection, reconcile its
overlapping source records **as of a stated business cutoff**, and return a single
JSON object matching an `answer_template.json`. The five collection families are:

- **contacts** (`v_contacts`) — partner onboarding, dealer, warranty, field-service rosters
- **fuel** (`v_fuel_transactions`) — fuel/charging purchases
- **freight** (`v_freight_charges`) — carrier invoice charge lines
- **maintenance** (`v_maintenance_events`) — work-order events

Every collection is published as 2–3 **snapshots** (CERTIFIED + PROVISIONAL, sometimes a
second CERTIFIED source). Overlapping business records appear in more than one snapshot.
Your job is to collapse duplicates to logical records, classify data-quality issues,
Back to top