Scilink

F 42 completed
Other
cli / python · small
146
Files
47,305
LOC
0
Frameworks
6
Languages

Pipeline State

completed
Run ID
#396627
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
30.20
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47306
Member of a group with 1 similar repo(s) — canonical #110889 view group →
Top concepts (2)
Project DescriptionData/ML
Repobility — same analyzer, your code, free for public repos · /scan/

AI Prompt

Create a command-line interface (CLI) tool in Python for scientific research automation, similar to SciLink. I need it to use intelligent agents to handle tasks like experimental design, data analysis, and optimization. The CLI should support running planning sessions, perhaps using a command like `scilink plan`, and data analysis sessions, like `scilink analyze`. It must be able to interact with large language models using environment variables for API keys (like Gemini or OpenAI) and should ideally have a Python API structure for programmatic use.
python cli ai scientific automation llm agent command-line
Generated by gemma4:latest

Catalog Information

AI-Powered Scientific Research Automation Platform

Description

AI-Powered Scientific Research Automation Platform

Novelty

3/10

Tags

python cli ai scientific automation llm agent command-line

Technologies

streamlit

Claude Models

claude-opus-4-6

Quality Score

F
42.4/100
Structure
49
Code Quality
42
Documentation
64
Testing
15
Practices
39
Security
45
Dependencies
60

Strengths

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

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • 14 bare except/catch blocks swallowing errors
  • Potential hardcoded secrets in 1 files
  • 5894 duplicate lines detected \u2014 consider DRY refactoring
  • 28 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Add a LICENSE file (MIT recommended for open source)
  • Replace bare except/catch blocks with specific exception types
  • Move hardcoded secrets to environment variables or a secrets manager
  • Address 27 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

20.8h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (13)
About: code-quality intelligence by Repobility · https://repobility.com
MIT
License
11.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
89.4%
text
8.8%
markdown
1.5%
toml
0.2%
json
0.2%
yaml
0.0%

Frameworks

None detected

Concepts (2)

Per-row analysis by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
All rows above produced by Repobility · https://repobility.com
auto_descriptionProject DescriptionAI-Powered Scientific Research Automation Platform80%
auto_categoryData/MLdata-ml70%

Quality Timeline

1 quality score recorded.

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