Agent skill · Audited from source
Rideshare Star Schema Sql Generator
skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b
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.
Cite
Cite this page
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
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
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
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
- PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
- Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/rideshare_star_schema_sql_generatorThe exact folder we audited
- LicenceNot declaredAs the repository states it
- Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
- Repository statusNot archivedLast push 157 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
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 locationsExcerpt, 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
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
- ✓SAFE B 89 / 100
first audit · source
04e912cff54b
Similar skills
All data & analysis skills →ECNU-ICALK/AutoSkill
Executes a 1-back test by comparing the current input to the immediately preceding input in a sequence, reporting the prior item and a match indicator.
ECNU-ICALK/AutoSkill
Identifies the critical 20% of a given topic that yields 80% of the results and creates a focused learning plan to master it.
ECNU-ICALK/AutoSkill
Act as a friendly English teacher for A1 students. Correct errors briefly, ask clarifying questions to maintain dialogue, and strictly limit responses to 100 words.
ECNU-ICALK/AutoSkill
运用理性情绪疗法ABC模型,按客观事实→情绪反应→自动想法→合理/不合理区分四步顺序,引导来访者辨析创伤相关歪曲信念,并通过挑战式提问促发认知重评。
ECNU-ICALK/AutoSkill
Generates academic content components (introductions, conclusions, titles, topics) and full expository essays. Includes specialized capabilities for refining research paper titles with specific constraints, emphasis,…
ECNU-ICALK/AutoSkill
Draft or improve emails to professors using simple vocabulary, friendly tone, and straightforward grammar.
Questions about Rideshare Star Schema Sql Generator
What does the Rideshare Star Schema Sql Generator skill do?
Is Rideshare Star Schema Sql Generator safe to install?
What can Rideshare Star Schema Sql Generator access on my machine?
How current is this page?
Sources
- github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the Rideshare Star Schema Sql Generator skill do?
- Is Rideshare Star Schema Sql Generator safe to install?
- What can Rideshare Star Schema Sql Generator access on my machine?