Pactkit
B 80 completed
Devops
cli / python · small
192
Files
18,296
LOC
1
Frameworks
4
Languages
Pipeline State
completedRun ID
#368575Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
60.00Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:46Deduplication group #51915
Member of a group with 6 similar repo(s) — canonical #28787 view group →
Top concepts (2)
Project DescriptionTesting
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AI Prompt
Create a command-line DevOps toolkit, similar to PactKit, written in Python. I need it to be spec-driven and agent-based, designed to guide AI coding assistants through a structured development lifecycle. The CLI should support commands like `pactkit init` to deploy the full toolkit, `pactkit update` to refresh playbooks, and a main workflow command like `/project-sprint "feature description"`. This workflow should orchestrate specialized agents through Plan, Act, Check, and Done phases, ensuring TDD adherence and passing quality gates. Please structure it using pytest for testing.
python cli devops ai-assistant testing pytest spec-driven automation
Generated by gemma4:latest
Catalog Information
Pactkit is a spec-driven, agent-based DevOps toolkit designed to support AI coding assistants.
Description
Pactkit is an innovative DevOps toolkit that leverages AI coding assistants to streamline development processes. It's built on the concept of agents working together to automate tasks and improve collaboration. With pactkit, developers can create custom workflows and integrate them with their existing tools and systems. This project aims to bridge the gap between human developers and AI-powered coding assistants.
الوصف
هو أداة ديفOPS مُصممة لتعزيز مساعدة الكود الآلي بالتقنيات الذكية، تعمل على أساس المفاهيم التفاعلية بين الأطراف المتعددة. يتيح لك هذا الأداة إنشاء تدفقات عمل مخصصة وتكاملها مع أدواتك الحالية والأنظمة.
Novelty
7/10Tags
spec-driven agent-based devops-toolkit ai-coding-assistants custom-workflows integration
Technologies
anthropic
Claude Models
claude-opus-4.6
Quality Score
B
80.5/100
Structure
97
Code Quality
74
Documentation
88
Testing
85
Practices
55
Security
84
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (867% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 5 bare except/catch blocks swallowing errors
- 214 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Replace bare except/catch blocks with specific exception types
- Address 33 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
12.8h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
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MIT
License
0.8%
Duplication
Languages
Frameworks
pytest
Concepts (2)
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| auto_description | Project Description |    | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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