Demo Sandoz Capa
D 52 completed
Other
unknown / html · tiny
21
Files
2,154
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#396383Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
33.62Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47880
Member of a group with 1 similar repo(s) — canonical #100064 view group →
Top concepts (1)
Web Backend
All rows above produced by Repobility · https://repobility.com
AI Prompt
I want to build a demo application, similar to the zeroth-agents demo, that analyzes pharmaceutical CAPA SOPs. The system should ingest both global and local CAPA SOPs, and then extract atomic knowledge units, or CxUs, from them. A key feature should be the ability to identify conflicts between different procedures found in the SOPs. Finally, I need to incorporate agentic analysis capabilities using the extracted knowledge against CAPA test data. The project structure seems to involve Python, FastAPI, and should ideally have a dashboard interface using HTML.
python fastapi html markdown pharma capa sop ai-agent knowledge-extraction demo
Generated by gemma4:latest
Catalog Information
A Pyrana demo that demonstrates CxU-powered analysis of pharmaceutical CAPA (Corrective Action Preventive Action) SOPs. The demo ingests global and local CAPA SOPs, extracts atomic knowledge as CxUs, identifies conflicts between procedures, and runs agentic analysis on CAPA test data.
Description
A Pyrana demo that demonstrates CxU-powered analysis of pharmaceutical CAPA (Corrective Action Preventive Action) SOPs. The demo ingests global and local CAPA SOPs, extracts atomic knowledge as CxUs, identifies conflicts between procedures, and runs agentic analysis on CAPA test data.
Novelty
3/10Tags
python fastapi html markdown pharma capa sop ai-agent knowledge-extraction demo
Technologies
fastapi
Claude Models
claude-opus-4-6
Quality Score
D
51.9/100
Structure
33
Code Quality
85
Documentation
27
Testing
0
Practices
66
Security
100
Dependencies
60
Strengths
- Consistent naming conventions (snake_case)
- 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 (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (4)
Repobility (the analyzer behind this table) · https://repobility.com
Unknown
License
0.0%
Duplication
Languages
Frameworks
FastAPI
Concepts (1)
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| Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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