Claude Cod Top 2026
C+ 78 completed
Other
unknown / python · small
134
Files
10,227
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#397132Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
37.80Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47518
Member of a group with 1 similar repo(s) — canonical #113957 view group →
Top concepts (2)
Project DescriptionTesting
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🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
mainParses command-line arguments to manage a skill environment setup. It accepts optional flags to check the environment status, run a specific script within a virtual environment, or pass additional arguments. The function prints status messages to standard output, indicating whether the virtual envir
SkillEnvironment.activate_instructionsDetermines and returns the appropriate command string required to manually activate the virtual environment. It inspects the operating system to differentiate between Windows and Unix-like systems. For Windows, it constructs a path to an activate batch file and formats the output as a command to run
SkillEnvironment.run_scriptExecutes a specified script located within the skill's directory using the associated virtual environment's Python interpreter. It accepts the script's name as a string and an optional list of command-line arguments. The function returns an integer representing the script's exit code, or 1 if any se
AI Prompt
Create a robust, production-grade configuration system written in Python. I need it to manage agents, skills, and hooks, following an Evidence Policy. The system should be battle-tested for complex domains like financial systems and geospatial analysis. Please structure it to include components like `rules`, `skills`, and `agents`, and ensure it has a clear pipeline for handling requests, including an `InputGuard`. I also need it to be testable, so please use `pytest` for testing.
python pytest system-design configuration agent financial geospatial testing
Generated by gemma4:latest
Catalog Information
Battle-tested on financial systems, scientific research, and geospatial analysis.<br><br>
Description
Battle-tested on financial systems, scientific research, and geospatial analysis.<br><br>
Novelty
3/10Tags
python pytest system-design configuration agent financial geospatial testing
Claude Models
claude-opus-4-6
Quality Score
C+
77.5/100
Structure
93
Code Quality
72
Documentation
89
Testing
85
Practices
43
Security
84
Dependencies
80
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (93% 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
Weaknesses
- 1 files with critical complexity need refactoring
- 6 bare except/catch blocks swallowing errors
- 222 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Replace bare except/catch blocks with specific exception types
Security & Health
9.1h
Tech Debt (C)
Medium
DORA Rating
A
OWASP (100%)
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PASS
Quality Gate
A
Risk (2)
MIT
License
2.0%
Duplication
Languages
Frameworks
pytest
Symbols
function69
method49
constant35
class7
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Battle-tested on financial systems, scientific research, and geospatial analysis.<br><br> | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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