Bigbrainwordle

C 61 completed
Cli Tool
unknown / text · tiny
16
Files
16,262
LOC
0
Frameworks
5
Languages

Pipeline State

completed
Run ID
#307123
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
60.00
Framework unique
Isolation
Last stage change
2026-05-10 03:35:10
Deduplication group #48474
Member of a group with 20 similar repo(s) — canonical #29776 view group →
Top concepts (3)
Project Descriptiondata_accessCLI Tool
Repobility — same analyzer, your code, free for public repos · /scan/

AI Prompt

Create a command-line assistant called BigBrainWordle that helps users cheat at Wordle. It should use an entropy approach to suggest the next word. The tool needs to support an interactive mode where the user can manually enter feedback. Additionally, it should have flags to autosolve against a specific word, autosolve today's NYT Wordle, and autosolve a past NYT Wordle by providing a date. The primary language seems to be Rust, so please structure it accordingly.
rust cli wordle game-assistant entropy command-line
Generated by gemma4:latest

Catalog Information

BigBrainWordle is an assistant that helps users cheat at Wordle by using an entropy approach to determine the next word.

Description

BigBrainWordle is a tool designed to assist users in solving Wordle puzzles. It uses an entropy-based approach to suggest the next word, making it easier for users to complete the game. The tool can be run in interactive mode or used to autosolve specific words, including today's NYT Wordle.

الوصف

هذا الأداة مصممة لتحسين أداء المستخدمين في حل لعبة وورلد. تستخدم هذه الأداة نهج إنطلاقي لتوصية الكلمات التالية، مما يسهل على المستخدمين إكمال اللعبة. يمكن تشغيل الأداة في وضع تفاعلي أو استخدامها لحل كلمات محددة، بما في ذلك لعبة وورلد اليوم من نيويورك تايمز.

Novelty

7/10

Tags

word-guessing game-assistance entropy-based-algorithm wordle-solver puzzle-solving

Technologies

serde

Claude Models

claude-opus-4.6

Quality Score

C
61.0/100
Structure
57
Code Quality
80
Documentation
36
Testing
15
Practices
80
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • 141 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

5.1h
Tech Debt (A)
High
DORA Rating
A
OWASP (100%)
Open data scored by Repobility · https://repobility.com
PASS
Quality Gate
A
Risk (1)
MIT
License
1.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

text
92.8%
rust
5.3%
yaml
1.5%
toml
0.2%
markdown
0.2%

Frameworks

None detected

Symbols

function41
constant13
struct5
extension4
enum3
type_alias1

Concepts (3)

All metrics by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
auto_descriptionProject DescriptionThe assistant that help you cheat with wordle. Uses an entropy approach to determine the next word.80%
arch_layerdata_accessDetected data_access layer70%
auto_categoryCLI Toolcli70%

Quality Timeline

1 quality score recorded.

View File Metrics
Repobility (the analyzer behind this table) · https://repobility.com

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