run-cso

Execute the CSO caller pipeline with SLURM job management for clinical samples.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/gh-hazhang/scripts --skill run-cso
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run-cso
Source: https://github.com/gh-hazhang/scripts/tree/main/.claude/plugins/cso-caller/skills/run-cso
Command: npx skills add https://github.com/gh-hazhang/scripts --skill run-cso

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the execution of the Cancer Signal Origin (CSO) caller pipeline, simplifying the analysis of clinical samples.

Core Features & Use Cases

  • Automated Pipeline Execution: Runs the full CSO caller pipeline with SLURM job management.
  • Sample Handling: Manages both local and archived clinical samples, including automatic retrieval.
  • Progress Monitoring: Provides real-time updates and handles timeouts gracefully.
  • Use Case: Analyze clinical samples for cancer signal origins by providing a report file and output directory, letting the skill manage the complex execution and monitoring.

Quick Start

Run the CSO caller pipeline using your clinical report and specify an output directory.

Frequently Asked Questions about run-cso

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

FAQPage Schema
How do I run the Cancer Signal Origin pipeline for clinical genomics samples?

To run the Cancer Signal Origin (CSO) pipeline for clinical genomics samples, you provide a clinical report file and specify an output directory. The skill then manages automated pipeline execution and SLURM job scheduling.

Can I analyze archived clinical samples using the CSO caller pipeline?

Yes, you can analyze archived clinical samples using the CSO caller pipeline. The skill performs intelligent pre-checks for archived samples and handles automatic retrieval to streamline the genomics analysis workflow.

How does SLURM job management work for genomic pipeline execution?

SLURM job management for genomic pipeline execution is fully automated by the skill. It handles prerequisite validation, submits the pipeline jobs, monitors progress in real-time, and gracefully manages any execution timeouts.

What configurations are needed to customize the CSO caller pipeline?

To customize the CSO caller pipeline, you can configure BIP settings, execution timeouts, and project naming conventions. These custom configurations help streamline and tailor the genomic data analysis workflow to your specific needs.

How do I monitor progress and handle timeouts during cancer signal origin analysis?

To monitor progress during cancer signal origin analysis, the skill provides real-time updates and handles timeouts gracefully. This ensures automated SLURM pipeline execution runs reliably without manual intervention for stalled jobs.

Why is prerequisite validation necessary before running the CSO pipeline?

Prerequisite validation is necessary before running the CSO pipeline to ensure the clinical sample analysis environment is correctly configured. The skill automates these pre-checks to prevent execution errors and streamline genomics workflows.