Ai Yan Xin

F 48 completed
Other
unknown / python · tiny
33
Files
5,228
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#394495
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
22.39
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47299
Member of a group with 1 similar repo(s) — canonical #94036 view group →
Top concepts (1)
Web Backend
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/

AI Prompt

I want to build a system based on the WAT framework that separates probabilistic AI reasoning from deterministic code execution. The core functionality should involve defining workflows and tools. I need a main server component, likely in Python, that orchestrates this. Please include a dashboard interface using HTML, and I also need functionality to generate a PDF guide, which should be handled by a Python script. The system should manage configuration using JSON files and potentially use markdown for documentation.
python wat ai agent workflow server html pdf json tooling
Generated by gemma4:latest

Catalog Information

You're working inside the WAT framework (Workflows, Agents, Tools). This architecture separates concerns so that probabilistic AI handles reasoning while deterministic code handles execution. That separation is what makes this system reliable.

Description

You're working inside the WAT framework (Workflows, Agents, Tools). This architecture separates concerns so that probabilistic AI handles reasoning while deterministic code handles execution. That separation is what makes this system reliable.

Novelty

3/10

Tags

python wat ai agent workflow server html pdf json tooling

Claude Models

claude-opus-4-6

Quality Score

F
48.4/100
Structure
33
Code Quality
70
Documentation
35
Testing
0
Practices
65
Security
92
Dependencies
60

Strengths

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

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • 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
  • 150 duplicate lines detected \u2014 consider DRY refactoring
  • 1 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • 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

5.6h
Tech Debt (C)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (15)
Open data scored by Repobility · https://repobility.com
Unknown
License
2.6%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
43.4%
html
40.4%
markdown
8.4%
json
7.9%

Frameworks

None detected

Concepts (1)

Repobility · code-quality intelligence · https://repobility.com
CategoryNameDescriptionConfidence
Repobility · MCP-ready · https://repobility.com
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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