Workflow Conductor
C+ 80 completed
Ai Ml
cli / python · small
73
Files
9,755
LOC
1
Frameworks
5
Languages
Pipeline State
completedRun ID
#303294Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
55.34Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47628
Member of a group with 1 similar repo(s) — canonical #27307 view group →
Top concepts (9)
RepositoryProject DescriptiontestingTestingFactoryTestingLoggingDatabaseConfiguration
Source: Repobility analyzer · https://repobility.com
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
prompt_execution_gatePrompts the user to confirm whether to proceed with workflow execution, displaying clear options for approval or abortion. It accepts an optional boolean argument to automatically approve the action, bypassing the prompt entirely. The function returns a UserResponse object containing the user's chos
prompt_validation_gatePrompts the user for confirmation regarding a workflow plan, optionally skipping the prompt if auto_approve is set to true. It accepts an optional boolean argument to control automatic approval and returns a UserResponse object containing the chosen action and any associated refinement feedback. If
display_workflow_json_summaryGenerates and prints a formatted summary table detailing the structure of a provided workflow dictionary. It accepts one argument, a dictionary containing workflow data, and produces no return value. The function calculates and displays the total number of processes, a breakdown of process counts gr
AI Prompt
Create a command-line interface (CLI) tool in Python that acts as an AI-powered orchestrator for 1000 Genomes workflows on Kubernetes. The tool should accept a natural language genomics research prompt and manage the entire pipeline, which involves components like a Workflow Composer, Workflow Profiler (using LangGraph), and interacting with a HyperFlow Engine. It needs to handle cluster provisioning using Helm charts and Kind, and provide commands for running dry-runs, full execution, linting, and running unit/integration tests using pytest.
python cli kubernetes ai workflow-management genomics pytest langgraph helm
Generated by gemma4:latest
Catalog Information
This project is an AI-powered orchestrator designed to manage 1000 Genomes workflows on Kubernetes using the HyperFlow Workflow Management System.
Description
Workflow Conductor is a cutting-edge tool that leverages artificial intelligence to streamline and automate complex workflows for the 1000 Genomes project. Built on top of Kubernetes, it utilizes the HyperFlow Workflow Management System (WMS) to orchestrate tasks efficiently. This innovative solution aims to simplify workflow management, reducing manual effort and increasing productivity.
الوصف
هذا المشروع هو مسؤول توجيه للعملية التي تستخدم الذكاء الاصطناعي لتنظيم وتسريع إدارة العملات الجينية على كيوبيرنيتس باستخدام نظام إدارة تدفق العمل (HyperFlow WMS).
Novelty
9/10Tags
workflow-management kubernetes 1000-genomes-project hyperflow-wms artificial-intelligence orchestration automation
Technologies
anthropic click pydantic rich
Claude Models
claude-opus-4.6
Quality Score
C+
79.6/100
Structure
80
Code Quality
81
Documentation
75
Testing
70
Practices
78
Security
100
Dependencies
80
Strengths
- Good test coverage (128% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
- 315 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a LICENSE file (MIT recommended for open source)
Security & Health
6.6h
Tech Debt (B)
High
DORA Rating
A
OWASP (100%)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
PASS
Quality Gate
A
Risk (2)
Unknown
License
3.1%
Duplication
Languages
Frameworks
pytest
Symbols
variable150
function38
method37
class24
constant23
Concepts (9)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All rows above produced by Repobility · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | AI-powered orchestrator that accepts natural language genomics research prompts and orchestrates the 1000 Genomes analysis workflow on Kubernetes via HyperFlow WMS. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 32 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Logging | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Database | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 7 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Repobility analyzer · published findings · https://repobility.com
Embed Badge
Add to your README:
BinComp Dependency Hardening
All packages →4 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.