Aumai Toolwatch

B+ 89 completed
Cli Tool
cli / python · tiny
22
Files
1,463
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#304056
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
33.68
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 (4)
Project DescriptiontestingTestingTesting
Repobility · severity-and-effort ranking · https://repobility.com

AI Prompt

Create a command-line tool called AumAI Toolwatch that detects runtime changes in tool behavior using fingerprinting techniques. The project should be written in Python and include comprehensive documentation, such as getting started guides and an API reference. Since it's a CLI tool, please ensure the structure supports testing using pytest and includes necessary configuration files like pyproject.toml.
python cli tooling fingerprinting pytest
Generated by gemma4:latest

Catalog Information

The AUMAI ToolWatch project is designed to detect runtime changes in tool behavior using fingerprinting techniques.

Description

AUMAI ToolWatch is a tool that uses fingerprinting to detect runtime changes in tool behavior. It provides a way to monitor and analyze the behavior of tools, allowing for early detection of potential issues or security threats. The project aims to help developers and organizations improve their tool management and security posture.

الوصف

أوماي تيولوتتش (AUMAI ToolWatch) هو أداة تستخدم تقنية التلميح لاكتشاف التغييرات في سلوك الأدوات أثناء التشغيل. يتيح للمطورين والمنظمات مراقبة وتحليل سلوك الأدوات، مما يسمح بتحديد الأخطاء المحتملة أو التهديدات الأمنية مبكرًا. يهدف المشروع إلى تحسين إدارة الأدوات والأمان في المنظمات.

Novelty

7/10

Tags

runtime-change-detection fingerprinting tool-behavior-analysis security-monitoring devops

Technologies

click pydantic

Claude Models

claude-opus-4.6

Quality Score

B+
89.3/100
Structure
93
Code Quality
100
Documentation
85
Testing
85
Practices
68
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (60% 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 (D)
High
DORA Rating
A
OWASP (100%)
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
PASS
Quality Gate
A
Risk (7)
Apache-2.0
License
2.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
81.0%
markdown
9.3%
yaml
5.5%
toml
4.2%

Frameworks

pytest

Symbols

variable18
function9
method9
class6
constant2

Concepts (4)

Open data · scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility · open methodology · https://repobility.com/research/
auto_descriptionProject Description> Detect runtime changes in tool behavior via fingerprinting80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
business_logicTestingDetected from 3 related files50%

Quality Timeline

1 quality score recorded.

View File Metrics
All rows above produced by Repobility · https://repobility.com

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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