Run Agent
C+ 72 completed
Other
containerized / shell · small
75
Files
3,577
LOC
0
Frameworks
8
Languages
Pipeline State
completedRun ID
#350284Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
25.96Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #48127
Member of a group with 1 similar repo(s) — canonical #118574 view group →
Top concepts (2)
Project DescriptionDevOps/Infrastructure
Repobility · code-quality intelligence · https://repobility.com
AI Prompt
Create a system that allows me to split complex development tasks across multiple AI Agents. I want the system to research, implement, review, and test code in parallel, treating the codebase like a real team project. The core functionality should involve an orchestrator that delegates work to specialized agents, such as research, implementation, review, and testing. Please ensure the setup supports monitoring the agents' progress and handles communication between them. The system should be containerized and use shell scripting for execution.
shell containerization ai-agents automation development-workflow orchestration scripting llm
Generated by gemma4:latest
Catalog Information
Split complex tasks across multiple AI Agents that research, implement, review, and test in parallel -- so each agent stays focused and your codebase gets treated like a real team project. Built by Eugene Petrenko.
Description
Split complex tasks across multiple AI Agents that research, implement, review, and test in parallel -- so each agent stays focused and your codebase gets treated like a real team project. Built by Eugene Petrenko.
Novelty
3/10Tags
shell containerization ai-agents automation development-workflow orchestration scripting llm
Claude Models
claude-opus-4-6
Quality Score
C+
71.9/100
Structure
67
Code Quality
80
Documentation
56
Testing
65
Practices
69
Security
100
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Consistent naming conventions (kebab-case)
- Good security practices \u2014 no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Recommendations
- Add a linter configuration to enforce code style consistency
Security & Health
4.1h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (3)
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
Apache-2.0
License
20.3%
Duplication
Languages
Frameworks
None detected
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility (the analyzer behind this table) · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Split complex tasks across multiple AI Agents that research, implement, review, and test in parallel -- so each agent stays focused and your codebase gets treated like a real team project. Built by Eugene Petrenko. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | DevOps/Infrastructure | devops-infra | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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