Contextcore
C 65 completed
Devops
monorepo / json · medium
1,205
Files
318,770
LOC
4
Frameworks
9
Languages
Pipeline State
completedRun ID
#364538Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
77.40Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:17Deduplication group #52877
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionTesting
Repobility · open methodology · https://repobility.com/research/
AI Prompt
Create a project management observability framework called ContextCore. I need it to function as a unified communication layer where human and AI agent knowledge is shared and persistent. Specifically, I want to implement features allowing agents to emit insights as OpenTelemetry spans, and other agents to query these insights using a mechanism like `InsightQuerier`. Additionally, the system should support setting persistent guidance constraints and questions via a Kubernetes CRD, and it needs a way to query information directly over markdown content instead of relying on static files. The core logic seems to involve Python and interacting with observability stacks.
python observability project-management ai-agents opentelemetry kubernetes json python-scripting
Generated by gemma4:latest
Catalog Information
The contextcore project is a project management observability framework designed to automate status reporting for vendors.
Description
Contextcore is a project management observability framework that eliminates manual status reporting by leveraging artifact metadata and exporting data in vendor-agnostic OTLP format. This framework aims to provide real-time insights into project progress, reducing the need for manual updates and improving overall visibility.
الوصف
هو إطار عمل مراقبة المشاريع لإلغاء التقرير عن الحالة اليدوي من خلال استخراج البيانات من الملفات، وتصدير البيانات في تنسيق OTLP غير محدد للشركة. يهدف هذا الإطار إلى تقديم نظرة شاملة على التقدم في المشروع، مما يقلل من حاجة التحديث اليدوي وتحسين الرؤية بشكل عام.
Novelty
7/10Tags
project-management observability artifact-metadata status-reporting vendor-agnostic
Technologies
click grafana prometheus pydantic
Claude Models
claude-opus-4.6
Quality Score
C
65.1/100
Structure
76
Code Quality
73
Documentation
78
Testing
65
Practices
47
Security
32
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Code linting configured (eslint, ruff (possible))
- Consistent naming conventions (snake_case)
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- 1 files with critical complexity need refactoring
- 2 bare except/catch blocks swallowing errors
- Potential hardcoded secrets in 4 files
- 9846 duplicate lines detected \u2014 consider DRY refactoring
- 32 'god files' with >500 LOC need decomposition
Recommendations
- Replace bare except/catch blocks with specific exception types
- Move hardcoded secrets to environment variables or a secrets manager
- Address 103 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
52.3h
Tech Debt (A)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (12)
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
Apache-2.0
License
19.6%
Duplication
Languages
Frameworks
pytest Jest Vitest Webpack
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Powered by Repobility — scan your code at https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | One system. Every audience. Always current. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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