Re9Autosplitter

D 52 completed
Plugin
unknown / xml · tiny
3
Files
448
LOC
0
Frameworks
1
Languages

Pipeline State

completed
Run ID
#345806
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
38.94
Framework unique
Isolation
Last stage change
2026-05-10 03:26:32
Deduplication group #48290
Member of a group with 4 similar repo(s) — canonical #64799 view group →
Top concepts (2)
ConfigurationProject Description
Same scanner, your repo: https://repobility.com — Repobility

AI Prompt

I want to create a simple utility tool, perhaps in Python or another scripting language, that acts as an auto-splitter for Resident Evil 9 speedruns. The tool should read timing data from a specified XML settings file, like `RE9.Settings.xml`, and use the provided ASL file, `RE9.asl`, to automatically record and manage split times for the speedrun. It should be straightforward to set up and run.
xml scripting speedrun utility data-processing resident-evil
Generated by gemma4:latest

Catalog Information

An auto-splitter that automatically records split times for Resident Evil 9 speedruns.

Description

This tool automatically tracks and records split times for Resident Evil 9 speedruns, allowing runners to focus on gameplay without manual timing. It detects key in-game events and triggers split actions in real time, ensuring accurate and consistent timing. The software integrates seamlessly with popular timer applications, providing a smooth user experience. It is designed for speedrunners who need reliable split data without the distraction of manual input. By reducing timing errors, it helps players achieve more precise world record attempts.

الوصف

تعمل هذه الأداة على تتبع وتسجيل أوقات التقسيم تلقائياً أثناء سباقات سرعة لعبة Resident Evil 9، مما يتيح للعدائين التركيز على اللعب دون الحاجة إلى توقيت يدوي. تُستشعر الأحداث الرئيسية داخل اللعبة وتُطلق إجراءات التقسيم في الوقت الفعلي، ما يضمن دقة وتناسقاً في القياس. تتكامل الأداة بسلاسة مع برامج المؤقت الشائعة، لتوفير تجربة مستخدم سلسة ومتكاملة. صممت خصيصاً للعدائين الذين يحتاجون إلى بيانات توقيت موثوقة دون تشتيت. من خلال تقليل أخطاء التوقيت، تساعد اللاعبين على تحقيق سجلات عالمية أكثر دقة.

Novelty

6/10

Tags

speedrunning timer auto-split resident-evil gaming split-automation

Claude Models

claude-opus-4.6

Quality Score

D
51.9/100
Structure
26
Code Quality
100
Documentation
0
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Low average code complexity \u2014 well-structured code
  • 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

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

4.1h
Tech Debt (E)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (10)
Repobility analyzer · published findings · https://repobility.com
Unknown
License
Full Security Report AI Fix Prompts SARIF SBOM

Languages

xml
100.0%

Frameworks

None detected

Concepts (2)

Same analyzer free for public repos: https://repobility.com
CategoryNameDescriptionConfidence
Repobility · severity-and-effort ranking · https://repobility.com
auto_categoryConfigurationconfig60%
auto_descriptionProject DescriptionThis repository appears to contain configuration files and potentially some associated scripts, likely for a specific application or system.60%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/69874.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV