My Awesome Project

C 68 completed
Ai Ml
unknown / markdown · medium
658
Files
172,157
LOC
2
Frameworks
9
Languages

Pipeline State

completed
Run ID
#298341
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
76.67
Framework unique
Isolation
Last stage change
2026-05-10 03:35:34
Deduplication group #58227
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (12)
RepositorySingletonLayered Architecturepresentationbusiness_logicinfrastructuretestingFactoryDatabaseLoggingSearchTesting
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AI Prompt

Create an AI Facilitator Agent tool using Python that analyzes collaborative contributions within Google Docs. The system needs to integrate with the Gemini API and the Google Docs API, supporting features like outlier detection, summary/clustering, connection finding, and generating Socratic questions. Please ensure the implementation is production-grade, including OAuth 2.0 authentication with token encryption (AES-256), robust error handling, and rate limiting. I also need the setup to include running tests using pytest.
python flask google-docs-api gemini-api ai collaboration analysis pytest security
Generated by gemma4:latest

Catalog Information

The AI Facilitator Agent is a tool designed to facilitate collaboration in Google Docs.

Description

This project enables real-time collaboration and automation within Google Docs using artificial intelligence. It utilizes various technologies such as Celery for task queuing, Flask for web development, and Pydantic for data modeling. The agent can be integrated into existing workflows to enhance productivity and efficiency. Its primary function is to facilitate seamless communication among team members by automating tasks and providing real-time updates.

الوصف

هذا المشروع يسمح بالتعاون في الوقت الحقيقي و automation داخل Google Docs باستخدام الذكاء الاصطناعي. يستخدم مجموعة من التكنولوجيات مثل Celery لتنظيم المهام، Flask لتطوير الويب، و Pydantic لنمذجة البيانات. يمكن دمج هذا العامل في تدفقات العمل الموجودة حاليًا لتحسين الإنتاجية والكفاءة. وظيفته الرئيسية هي تسهيل التواصل السلس بين أعضاء الفريق عن طريق automation المهام وتقديم التحديثات في الوقت الحقيقي.

Novelty

7/10

Tags

real-time-collaboration google-docs-integration artificial-intelligence workflow-automation team-productivity communication-tool

Technologies

autogen celery click flask pydantic rich

Claude Models

claude (unknown version)

Quality Score

C
67.9/100
Structure
70
Code Quality
73
Documentation
78
Testing
55
Practices
54
Security
75
Dependencies
90

Strengths

  • CI/CD pipeline configured (github_actions)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • 1 bare except/catch blocks swallowing errors
  • 2023 duplicate lines detected \u2014 consider DRY refactoring
  • 9 'god files' with >500 LOC need decomposition

Recommendations

  • Add a LICENSE file (MIT recommended for open source)
  • Replace bare except/catch blocks with specific exception types
  • Address 28 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

16.1h
Tech Debt (A)
Medium
DORA Rating
A
OWASP (100%)
PASS
Quality Gate
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A
Risk (0)
Unknown
License
32.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
80.4%
python
15.4%
json
1.3%
text
0.9%
shell
0.9%
javascript
0.6%
yaml
0.5%
xml
0.0%
toml
0.0%

Frameworks

Flask pytest

Symbols

method511
function282
variable268
constant100
class76
property3

Concepts (17)

Repobility (https://repobility.com) — every score reproducible
CategoryNameDescriptionConfidence
Same scanner, your repo: https://repobility.com — Repobility
design_patternRepositoryFound repository-named files80%
design_patternSingletonFound get_instance/instance patterns70%
arch_patternLayered ArchitectureFound API/routes, service, and data layers70%
arch_layerpresentationDetected presentation layer70%
arch_layerbusiness_logicDetected business_logic layer70%
arch_layerinfrastructureDetected infrastructure layer70%
arch_layertestingDetected testing layer70%
design_patternFactoryFound factory/create_ naming patterns60%
business_logicDatabaseDetected from 87 related files50%
business_logicLoggingDetected from 13 related files50%
business_logicSearchDetected from 2 related files50%
business_logicTestingDetected from 63 related files50%
business_logicUser ManagementDetected from 7 related files50%
business_logicAnalyticsDetected from 7 related files50%
business_logicAuthenticationDetected from 25 related files50%
business_logicConfigurationDetected from 21 related files50%
business_logicCachingDetected from 4 related files50%

Quality Timeline

1 quality score recorded.

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