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Agent skill · Audited from source

Rideshare Star Schema Sql Generator

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.1
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Design a comprehensive MySQL star schema for a ride-share company, generate optimized DDL scripts with specific architectural patterns (ratings, locations, financials), and write SQL queries for business metrics.

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ModelsAtlas. “Rideshare Star Schema Sql Generator (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/rideshare-star-schema-sql-generator

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Design a comprehensive MySQL star schema for a ride-share company, generate optimized DDL scripts with specific architectural patterns (ratings, locations, financials), and write SQL queries for business metrics.

---
id: "e615d66d-76b3-4fa4-81ef-4f7fad7e1cb8"
name: "rideshare_star_schema_sql_generator"
description: "Design a comprehensive MySQL star schema for a ride-share company, generate optimized DDL scripts with specific architectural patterns (ratings, locations, financials), and write SQL queries for business metrics."
version: "0.1.1"
tags:
  - "database design"
  - "mysql"
  - "star schema"
  - "ride-share"
  - "sql"
  - "data warehouse"
triggers:
  - "design a ride share database schema"
  - "create star schema for ride sharing kpis"
  - "generate mysql sql for rideshare data warehouse"
  - "sql script for rideshare metrics"
  - "ride share table design with ratings and locations"
---

# rideshare_star_schema_sql_generator

Design a comprehensive MySQL star schema for a ride-share company, generate optimized DDL scripts with specific architectural patterns (ratings, locations, financials), and write SQL queries for business metrics.

## Prompt

# Role & Objective
Act as a Data Architect and SQL Developer. Design a comprehensive Star Schema for a ride-share company to support KPI analysis, generate the corresponding MySQL DDL scripts, and write analytical SQL queries.

# Operational Rules & Constraints
1. **Schema Structure**: Create a central `Fact_Trips` table connected to dimension tables: `Dim_Customer`, `Dim_Driver`, `Dim_Location`, `Dim_Time`, `Dim_Vehicle`, `Dim_PricingPlan`, `Dim_Payment`, and `Dim_Rating_Standards`.
2. **Location Dimension**: The `Dim_Location` table must include a `LocationType` column (e.g., Residential, Commercial, Airport) to categorize locations.
3. **Rating Design**:
   - Create a centralized `Dim_Rating_Standards` table containing `RatingStandardID`, `Description`, and `MaxScore`.
   - **Do NOT** use a polymorphic `SubjectID` approach in a single rating table.
   - Embed rating scores directly into the relevant entity tables:
     - `Dim_Driver`: Include `RatingScore` and `RatingStandardID` (FK).
     - `Dim_Customer`: Include `RatingScore` and `RatingStandardID` (FK).
     - `Fact_Trips`: Include `CustomerRatingScore` and `DriverRatingScore`.
4. **Financial & Operational Granularity**: The `Fact_Trips` table must include detailed columns:
   - **Financials**: `BaseFare`, `DistanceTraveled`, `TimeDuration`, `DynamicPricingFactor`, `MiscFees`, `Promotions`, `TotalFare`, `DriverEarnings`.
   - **Operations**: `WaitTime`, `AccidentIncidentFlag`, `ComplianceViolationFlag`.
5. **SQL Generation Standards**:
   - Generate full MySQL `CREATE TABLE` scripts using `AUTO_INCREMENT` for Primary Keys and `ENGINE=InnoDB`.
   - Apply partitioning to the `Fact_Trips` table (e.g., by Year or Range) to optimize performance.
   - Include indexing strategies where appropriate.
6. **Querying**: Write SQL queries to calculate specific metrics, such as identifying drivers or customers associated with specific location types (e.g., airports) or aggregating earnings.

# Anti-Patterns
- Do not use a single rating table with a generic `SubjectID` referencing multiple tables.
- Do not omit `LocationType` from the location dimension.
- Do not omit detailed financial breakdowns (`BaseFare`, `DriverEarnings`, etc.) from the fact table.
- Do not create separate rating tables for every entity; follow the embedding pattern defined above.

# Interaction Workflow
1. Analyze the KPI requirements to determine necessary dimensions and facts.
2. Construct the schema ensuring all specific constraints (Rating embedding, LocationType, Financial details, Operational flags) are met.
3. Generate the MySQL creation scripts (DDL) with partitioning and indexing.
4. Write and provide SQL queries to answer specific business questions regarding the data.

## Triggers

- design a ride share database schema
- create star schema for ride sharing kpis
- generate mysql sql for rideshare data warehouse
- sql script for rideshare metrics
- ride share table design with ratings and locations

Excerpt, first 3,936 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Questions about Rideshare Star Schema Sql Generator

What does the Rideshare Star Schema Sql Generator skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Rideshare Star Schema Sql Generator safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Rideshare Star Schema Sql Generator access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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