Aitestframework

B 82 completed
Other
cli / markdown · small
110
Files
7,035
LOC
3
Frameworks
10
Languages

Pipeline State

completed
Run ID
#394120
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
65.17
Framework unique
Isolation
Last stage change
2026-05-10 03:34:51
Deduplication group #59866
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Open data scored by Repobility · https://repobility.com

AI Prompt

Create a comprehensive AI chip verification test framework. I need it to manage C/C++ stub code, handle golden data versioning, and manage build processes including toolchain and third-party library dependencies. The system must support defining and tracking model-level/operator-level test cases, and provide a mechanism for running tests locally or remotely via SSH. Crucially, it needs a Flask-based CI Dashboard to visualize the CI pipeline, and include tools for parsing test execution logs and hardware logs. The framework should also manage the compilation of stubs and support running unit tests for the framework itself.
python flask c cpp cli testing ai-chip verification ssh ci
Generated by gemma4:latest

Catalog Information

AI芯片验证测试框架,覆盖NPU/GPU算子验证、AI模型推理测试及CPU预处理测试。

Description

AI芯片验证测试框架,覆盖NPU/GPU算子验证、AI模型推理测试及CPU预处理测试。

Novelty

3/10

Tags

python flask c cpp cli testing ai-chip verification ssh ci

Technologies

flask sqlalchemy

Claude Models

claude-opus-4-6

Quality Score

B
82.4/100
Structure
82
Code Quality
89
Documentation
75
Testing
85
Practices
70
Security
92
Dependencies
60

Strengths

  • CI/CD pipeline configured (jenkins)
  • Good test coverage (64% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • 142 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

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

Security & Health

5.6h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Source: Repobility analyzer · https://repobility.com
Unknown
License
0.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
41.8%
python
31.3%
c
17.0%
shell
4.6%
text
2.8%
xml
1.0%
json
0.6%
toml
0.5%
yaml
0.3%
ini
0.1%

Frameworks

Flask pytest SQLAlchemy

Concepts (2)

All metrics by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Powered by Repobility — scan your code at https://repobility.com
auto_descriptionProject DescriptionAI芯片验证测试框架,覆盖NPU/GPU算子验证、AI模型推理测试及CPU预处理测试。80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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