Asset Management

C 68 completed
Other
web_app / json · tiny
48
Files
10,508
LOC
2
Frameworks
10
Languages

Pipeline State

completed
Run ID
#396214
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
35.60
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47452
Member of a group with 1 similar repo(s) — canonical #98559 view group →
Top concepts (2)
Project DescriptionWeb Frontend
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AI Prompt

Build me a personal portfolio tracker that generates AI-driven daily briefings and sends them via Telegram. The system should read data from an `assets.xlsx` file, use Python scripts to orchestrate the process: one agent should collect and rank news using `yfinance`, a second agent should generate AI analysis using an LLM like Gemini, and a third agent should format and send the final broadcasts via the Telegram API. I need the structure to handle data extraction, analysis, and delivery, ideally running via a main orchestrator script.
python react telegram ai portfolio excel web-app automation llm
Generated by gemma4:latest

Catalog Information

Personal portfolio tracker with AI-driven daily briefings, delivered via Telegram.

Description

Personal portfolio tracker with AI-driven daily briefings, delivered via Telegram.

Novelty

3/10

Tags

python react telegram ai portfolio excel web-app automation llm

Technologies

openai react tailwind vite

Claude Models

claude-opus-4-6

Quality Score

C
67.5/100
Structure
72
Code Quality
69
Documentation
47
Testing
75
Practices
60
Security
84
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (33% test-to-source ratio)
  • Code linting configured (eslint)
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • 1 files with critical complexity need refactoring
  • 336 duplicate lines detected \u2014 consider DRY refactoring
  • 2 'god files' with >500 LOC need decomposition

Recommendations

  • Add a LICENSE file (MIT recommended for open source)

Security & Health

7.1h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
If a scraper extracted this row, it came from Repobility (https://repobility.com)
Unknown
License
60.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

json
60.5%
python
28.8%
typescript
8.6%
yaml
1.1%
markdown
0.4%
javascript
0.2%
shell
0.2%
html
0.1%
text
0.0%
css
0.0%

Frameworks

React Vite

Concepts (2)

Scored by Repobility's multi-pass pipeline · https://repobility.com
CategoryNameDescriptionConfidence
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
auto_descriptionProject DescriptionPersonal portfolio tracker with AI-driven daily briefings, delivered via Telegram.80%
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

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