Productivity

D 56 completed
Cli Tool
unknown / python · tiny
7
Files
693
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#302404
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
32.98
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47591
Member of a group with 1 similar repo(s) — canonical #65621 view group →
Top concepts (2)
Project DescriptionWeb Backend
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AI Prompt

Create a command-line productivity system written in Python. This tool needs to help users track classes, assignments, and tests. Key features include adding, listing, and deleting courses, assignments (with due dates, hours, and priority), and tests (with dates, hours, and importance). The system must also allow users to generate optimal, day-by-day study schedules by calling an external AI model, specifically mentioning the use of Claude opus-4-6. Finally, it should provide a status overview and manage data storage using SQLite.
python cli productivity scheduling ai command-line sqlite study-planner
Generated by gemma4:latest

Catalog Information

The harrisonb7__productivity project is a command-line productivity system that helps users track classes, assignments, and tests, then generates optimal study schedules using AI.

Description

This project is an AI-powered study planner for students. It allows users to add classes, assignments, and tests, and then generates day-by-day study schedules based on the user's available time. The system uses a combination of user input and adaptive thinking to create personalized plans. Users can also view their workload and saved plans.

الوصف

هذا المشروع هو مخطط دراسي مُحوسب بالذكاء الاصطناعي للمتعلمين. يسمح للمستخدمين بإضافة الفصول والواجبات والامتحانات، ثم يولد جداول دراسية يومية حسب وقت المتاح للدراسة. يستخدم النظام kombinatio من مدخلات المستخدم و التفكير المُتأقلم لإنشاء خطط مخصصة. يمكن للمستخدمين أيضاً رؤية مسؤولياتهم والخطط المحفوظة.

Novelty

7/10

Tags

study-planning ai-generated-schedules productivity-system command-line-interface student-organization

Technologies

anthropic click rich

Quality Score

D
56.1/100
Structure
44
Code Quality
75
Documentation
65
Testing
0
Practices
64
Security
92
Dependencies
90

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (E)
Medium
DORA Rating
A
OWASP (100%)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
PASS
Quality Gate
A
Risk (10)
Unknown
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
93.0%
markdown
6.4%
text
0.6%

Frameworks

None detected

Symbols

function44
constant6
variable1

Concepts (2)

Findings curated by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Want this analysis on your repo? https://repobility.com/scan/
auto_descriptionProject DescriptionA command-line productivity system that tracks classes, assignments, and tests, then uses Claude claude-opus-4-6 (with adaptive thinking) to generate optimal, day-by-day study schedules.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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BinComp Dependency Hardening

All packages →
3 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nanthropic0.95.0 · 0 gadgets · risk 846.6Nclick8.3.2 · 0 gadgets · risk 0.0Nrich14.3.4 · 0 gadgets · risk 0.0