Fraim Spec Plus

B+ 88 completed
Library
unknown / markdown · tiny
20
Files
1,048
LOC
1
Frameworks
7
Languages

Pipeline State

completed
Run ID
#307703
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
42.83
Framework unique
Isolation
Last stage change
2026-05-10 03:34:46
Deduplication group #51298
Member of a group with 17 similar repo(s) — canonical #84061 view group →
Top concepts (4)
Project DescriptiontestingTestingTesting
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AI Prompt

Create a specification tool called Fraim Spec+ using Python. The project structure suggests it manages data structures and includes sections for documentation, testing, and defining agents. I need the setup to include running tests using `make test` and linting with `make lint`. Please ensure the project uses `pytest` and has a clear structure for defining agents in `src/agents/` and tools in `src/tools/`.
python specification tooling pytest markdown agent-sdk
Generated by gemma4:latest

Catalog Information

The fraim-spec project is a specification tool for defining and managing data structures.

Description

This project provides a framework for creating and maintaining specifications of complex data structures, allowing developers to define and validate their data models. It uses the pydantic library to enforce data consistency and type safety. The project is designed to be used in conjunction with a PostgreSQL database, which it interacts with using standard SQL queries.

الوصف

هذا المشروع يقدم إطارًا لإنشاء وتحديث مواصفات الهياكل البيانية المعقدة، مما يسمح للمطورين بتعريف ومراجعة أنماط البيانات الخاصة بهم. يستخدم هذا المشروع مكتبة pydantic للضمان من التنظيم البياني والسلامة النوعية. يتم تصميم المشروع للاستخدام مع قاعدة بيانات PostgreSQL، التي تتفاعل معها باستخدام الاستعلامات SQL القياسية.

Novelty

5/10

Tags

data-structure specification-tool database-interaction type-safety data-validation

Technologies

pydantic

Claude Models

claude-opus-4.5

Quality Score

B+
87.7/100
Structure
84
Code Quality
100
Documentation
76
Testing
85
Practices
78
Security
100
Dependencies
90

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (60% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors

Recommendations

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

Security & Health

4.1h
Tech Debt (D)
Medium
DORA Rating
A
OWASP (100%)
PASS
Quality Gate
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
A
Risk (9)
Unknown
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
85.6%
python
6.7%
toml
3.5%
yaml
2.8%
json
1.3%
shell
0.1%
text
0.0%

Frameworks

pytest

Symbols

constant6
function3

Concepts (4)

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CategoryNameDescriptionConfidence
Repobility · severity-and-effort ranking · https://repobility.com
auto_descriptionProject Description> [Vision and purpose - fill in]80%
arch_layertestingDetected testing layer70%
auto_categoryTestingtesting70%
business_logicTestingDetected from 4 related files50%

Quality Timeline

1 quality score recorded.

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