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Sap Datasphere

Checked
secondsky·vlatest·data·GPL-3.0

Sap Datasphere extracts valuable insights from diverse data sources, streamlining analysis and informing strategic decisions quickly.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add secondsky/sap-skills --skill sap-datasphere -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

secondsky

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned secondsky/sap-skills at ba8a2a27c0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
ba8a2a27c0
Manifest
plugins/sap-datasphere/skills/sap-datasphere/SKILL.md
Scanned
21 files, 11,849 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

SAP Datasphere

What it does

The SAP Datasphere skill enables AI agents to interact with and manage data within the SAP Datasphere environment. It facilitates seamless data integration, governance, and consumption across enterprise systems by providing direct access to data models and services.

When to use it

  • Automating routine data extraction and transformation tasks within an SAP ecosystem.
  • Querying unified data models to generate real-time business insights without manual SQL writing.
  • Integrating disparate data sources into a single analytical view for reporting agents.
  • Managing data governance policies and security settings programmatically via AI commands.

Key capabilities

  • Direct connectivity to SAP Datasphere instances and cloud environments.
  • Execution of data queries against semantic models and virtual data spaces.
  • Support for data lineage tracking and impact analysis across connected systems.
  • Integration with SAP Business Technology Platform (BTP) services for extended functionality.
  • Automated schema discovery and metadata retrieval for new data assets.

Example prompts

  • "Extract sales figures from the last quarter using the SAP Datasphere semantic model."
  • "Create a virtual data space that combines customer data from SAP CRM and financial data from SAP S/4HANA."
  • "Identify which reports are impacted if I update the 'Customer Profile' table in Datasphere."

Tips & gotchas

Ensure your AI agent has appropriate authentication credentials (e.g., OAuth tokens or API keys) configured before attempting to connect to SAP Datasphere. Performance may vary depending on the size of the data models and network latency between the agent and the SAP cloud environment.