starhorse-access

Document local StarHorse-derived datasets with schema, provenance, and access patterns.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill starhorse-access
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: starhorse-access
Source: https://github.com/arm2arm/AstroAgentAssistant/tree/main/astronomy/starhorse-access
Command: npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill starhorse-access

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

StarHorse-related data products stored on local systems can be difficult to locate, interpret, and provenance-track without clear access patterns, documentation, and schema notes.

Core Features & Use Cases

  • Document local StarHorse-derived datasets, including provenance and schema notes.
  • Record access patterns, storage locations, and permission requirements to enable reproducible astronomy workflows.
  • Use Case: When auditors or collaborators need to verify data lineage for StarHorse data, this Skill provides a repeatable documentation framework.

Quick Start

Document the StarHorse dataset access pattern by recording its schema, provenance, and storage location.

Frequently Asked Questions about starhorse-access

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I document StarHorse dataset provenance for local astronomy data?

Document StarHorse dataset provenance by recording schema details, access paths, and storage locations in a repeatable framework. This ensures local data products are locatable and interpretable for reproducible workflows and collaborator verification.

What schema documentation is needed for local StarHorse data access?

Local StarHorse data access requires documenting column schemas, provenance notes, storage locations, and permission requirements. This enables reproducible astronomy workflows and allows auditors to verify data lineage.

Can I use this approach to track data lineage for institutional StarHorse caches?

Yes, this approach applies to institutional data access patterns and local cache schemas. It specifies repeatable documentation steps for provenance tracking, ensuring collaborators can verify lineage for local StarHorse datasets.

What's the best way to record access paths and permissions for local astronomy datasets?

Record access paths and permissions by documenting storage locations, schema notes, and provenance in a standardized framework. This enables reproducible workflows and simplifies data lineage verification for local StarHorse datasets.

Why is provenance tracking difficult for locally stored StarHorse data products?

Provenance tracking is difficult because local StarHorse data products often lack clear access patterns, schema documentation, and storage notes. A repeatable documentation framework is needed to locate, interpret, and verify data lineage.