Aumai Connectorguard

B+ 85 completed
Cli Tool
cli / python · tiny
28
Files
4,813
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#303995
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
39.27
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47626
Member of a group with 2 similar repo(s) — canonical #93576 view group →
Top concepts (6)
Project DescriptiontestingTestingAPI GatewayDatabaseTesting
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)

AI Prompt

Create a command-line tool in Python for runtime validation of agent-to-tool connections, similar to the AumAI Connector Guard. The tool should have clear documentation, including sections for getting started, API reference, and examples. Since it's a CLI tool, please structure it to be easily installable via pip and include necessary testing setup using pytest.
python cli testing agent-tool validation ai-infrastructure
Generated by gemma4:latest

Catalog Information

The AUMAI Connector Guard project provides runtime validation for agent-to-tool connections.

Description

This project focuses on ensuring the security and integrity of connections between agents and tools at runtime. It aims to prevent potential issues and vulnerabilities that can arise from unvalidated connections. The project is designed to be a utility that can be integrated into various systems, providing an additional layer of protection against malicious activities.

الوصف

هذا المشروع يركز على ضمان أمنية و سلامة اتصالات العميل-الtool في وقت التشغيل. يهدف إلى منع الأخطاء المحتملة والخداع التي يمكن أن تنشأ من الاتصالات غير المصرح بها. المشروع مصمم ليكون أداة يمكن دمجها في العديد من الأنظمة، مما يوفر طبقة إضافية من الحماية ضد الأنشطة الخبيثة.

Novelty

5/10

Tags

connection-validation runtime-security agent-to-tool security-utility

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B+
85.0/100
Structure
92
Code Quality
85
Documentation
85
Testing
85
Practices
66
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (86% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Security & Health

4.1h
Tech Debt (C)
Medium
DORA Rating
A
OWASP (100%)
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
PASS
Quality Gate
A
Risk (2)
Apache-2.0
License
1.1%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
56.3%
markdown
41.0%
yaml
1.5%
toml
1.2%

Frameworks

pytest

Symbols

method30
variable27
class12
function11
constant1
property1

Concepts (6)

Scored by Repobility's multi-pass pipeline · https://repobility.com
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_descriptionProject Description> Runtime validation for agent-to-tool connections80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
business_logicAPI GatewayDetected from 2 related files50%
business_logicDatabaseDetected from 2 related files50%
business_logicTestingDetected from 6 related files50%

Quality Timeline

1 quality score recorded.

View File Metrics
Repobility — the code-quality scanner for AI-generated software · https://repobility.com

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/27822.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV

BinComp Dependency Hardening

All packages →
3 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 0.0Njsonschema4.26.0 · 0 gadgets · risk 0.0Npydantic2.12.5 · 0 gadgets · risk 0.0