Cecil

B 81 completed
Cli Tool
cli / python · small
228
Files
35,895
LOC
6
Frameworks
9
Languages

Pipeline State

completed
Run ID
#358003
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
77.67
Framework unique
Isolation
Last stage change
2026-05-10 03:34:40
Deduplication group #55550
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Frontend
Repobility · code-quality intelligence · https://repobility.com

AI Prompt

I want to build a local-first command-line interface using Python for data sanitization and cost optimization. The tool needs to be able to redact both Personally Identifiable Information (PII) and Protected Health Information (PHI). Since it's a CLI tool, please ensure the structure supports testing using pytest and Vitest, and consider using FastAPI for any potential API components, even if the core is CLI-based. The project should also utilize Tailwind CSS for any necessary front-end scaffolding or documentation elements.
python cli data-sanitization pii phi fastapi pytest vitest tailwind local-first
Generated by gemma4:latest

Catalog Information

This project is a local-first command-line interface for data sanitization and cost optimization, specifically designed to redact personally identifiable information (PII) and protected health information (PHI).

Description

Cecil is a CLI tool that helps users sanitize their data by removing sensitive information. It's designed to be used locally, making it easy to integrate into existing workflows. The tool optimizes costs by minimizing the amount of data that needs to be processed, reducing storage and processing expenses.

الوصف

هذا المشروع هو CLI محلي أولاً لتنظيف البيانات وتحسين التكلفة، ويتخصص في إزالة المعلومات الشخصية المحددة (PII) والمعلومات الصحية المحمية (PHI).

Novelty

5/10

Tags

data-sanitization cost-optimization pii-redaction phi-redaction local-first command-line-interface

Technologies

fastapi playwright pydantic uvicorn

Claude Models

claude-opus-4.6 claude-sonnet-4.5

Quality Score

B
81.4/100
Structure
79
Code Quality
73
Documentation
82
Testing
85
Practices
87
Security
92
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (101% test-to-source ratio)
  • Code linting configured (eslint, ruff (possible))
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • 1946 duplicate lines detected \u2014 consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Recommendations

  • Add a LICENSE file (MIT recommended for open source)

Security & Health

10.8h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
MIT
License
5.1%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
42.9%
typescript
26.1%
json
19.0%
markdown
7.6%
html
3.1%
yaml
0.5%
css
0.4%
toml
0.3%
javascript
0.2%

Frameworks

FastAPI React pytest Vitest Tailwind CSS Vite

Concepts (2)

Same analyzer free for public repos: https://repobility.com
CategoryNameDescriptionConfidence
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
auto_descriptionProject DescriptionA development project.80%
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

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