Aumai Toolcanon

B+ 89 completed
Library
cli / python · tiny
36
Files
4,702
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#304051
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
37.73
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47941
Member of a group with 1 similar repo(s) — canonical #9446 view group →
Top concepts (6)
Project DescriptionObserver/Event EmittertestingTestingDatabaseTesting
Repobility · open methodology · https://repobility.com/research/

AI Prompt

Create a command-line tool in Python that helps developers and data scientists normalize tool definitions into a standardized format, which the project calls "Tool Canonical IR." The tool should have core functionality, and I'd like to ensure it's testable using pytest. Please structure the project to follow best practices, including setup files like pyproject.toml and comprehensive documentation examples.
python cli tooling data-science normalization pytest
Generated by gemma4:latest

Catalog Information

The AUMAI-ToolCanon project is designed for developers and data scientists who need to normalize tool definitions into a standardized format.

Description

AUMAI-ToolCanon is a Python-based tool that takes in various tool definitions from different sources and converts them into a unified, canonical IR (Information Representation) format. This process enables easier comparison, integration, and analysis of tools across different domains. The project uses Click for command-line interface management and Pydantic for data modeling.

الوصف

أوماي-تول كانون هو أداة برمجية مكتوبة بلغة بايثون، تساعد المطورين والمهندسين البيانيين على تحويل تعريفات الأدوات المختلفة إلى صيغة IR موحدة. هذا يسمح بسهولة المقارنة والدمج وتحليل الأدوات عبر مختلف المجالات. تستخدم المشروع أداة Click للتحكم في الواجهة السطرية و Pydantic لنمذجة البيانات.

Novelty

5/10

Tags

tool-normalization canonical-ir information-representation data-integration comparison-tool

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B+
88.7/100
Structure
92
Code Quality
100
Documentation
83
Testing
85
Practices
67
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (91% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Security & Health

4.1h
Tech Debt (C)
Medium
DORA Rating
A
OWASP (100%)
Repobility · code-quality intelligence · https://repobility.com
PASS
Quality Gate
A
Risk (2)
Apache-2.0
License
5.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
55.2%
markdown
42.0%
yaml
1.5%
toml
1.2%

Frameworks

pytest

Symbols

variable36
method15
class11
function10

Concepts (6)

Analysis by Repobility (https://repobility.com) · MCP-ready
CategoryNameDescriptionConfidence
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
auto_descriptionProject Description> Normalize tool definitions to Tool Canonical IR80%
design_patternObserver/Event EmitterFound event emission/subscription patterns70%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
business_logicDatabaseDetected from 2 related files50%
business_logicTestingDetected from 10 related files50%

Quality Timeline

1 quality score recorded.

View File Metrics
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot

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BinComp Dependency Hardening

All packages →
2 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nclick8.3.2 · 0 gadgets · risk 0.0Npydantic2.12.5 · 0 gadgets · risk 0.0