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Import Pipeline

Checked
snaplogic·vlatest·devops

Automate data ingestion and transformation workflows from various sources into SnapLogic pipelines.

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 snaplogic/snaplogic-robotframework-examples --skill import-pipeline -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

snaplogic

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 snaplogic/snaplogic-robotframework-examples at b910cd1309.

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

Commit
b910cd1309
Manifest
.claude/skills/import-pipeline/SKILL.md
Scanned
2 files, 766 lines
Copies in repo
2 — all of them scanned
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

What it does

The import-pipeline skill facilitates the import and execution of Robot Framework pipelines within an AI agent workflow. It allows users to define, load, and run automated tests or processes expressed in Robot Framework syntax. This enables integration with existing test automation frameworks and provides a structured approach to complex tasks.

When to use it

  • Automated Testing: Execute pre-existing Robot Framework test suites as part of a larger AI agent workflow for continuous integration and quality assurance.
  • Process Automation: Run automated processes defined in Robot Framework, such as data extraction or system configuration, within an AI agent context.
  • Workflow Orchestration: Integrate Robot Framework pipelines into complex workflows involving multiple skills and tasks.
  • Reproducible Tasks: Ensure consistent execution of predefined tasks by leveraging the structured nature of Robot Framework pipelines.

Key capabilities

  • Importing Robot Framework pipelines
  • Executing imported pipelines
  • Integration with AI agent workflows
  • Support for Robot Framework syntax

Example prompts

  • "Run the 'login_workflow' pipeline."
  • "Execute the 'data_extraction' test suite and report results."
  • "Import and run the 'system_setup' pipeline, then proceed to the next step."

Tips & gotchas

The skill requires familiarity with Robot Framework syntax and structure. Ensure that any imported pipelines are properly formatted and accessible for execution within the AI agent environment.