Where are the final audit reports saved?

Consolidated reports are generated in the reports/ directory with a standardized timestamped filename for easy versioning and tracking.

What is the primary purpose of py-review-orchestrator?

It automates complex, hierarchical code reviews for the BioETL framework, ensuring high standards for data acquisition, normalization, and validation.

How does the skill handle large-scale reviews?

It uses a multi-wave approach across eight sectors (S1-S8), managing sector dependencies to ensure a logical and thorough audit flow.

What levels of review does this skill perform?

It executes a three-tier hierarchical review (L1, L2, and L3) to cover everything from syntax and style to deep architectural logic.

Does it identify critical security issues?

Yes, it specifically includes a rollup of all critical and high-priority issues across all sectors in the final consolidated report.

BioETL Review Orchestrator

Name: BioETL Review Orchestrator
Author: SatoryKono

bySatoryKono

0•

Security & Testing

Orchestrates hierarchical code reviews across multiple sectors to ensure data integrity and code quality in BioETL frameworks.

The py-review-orchestrator skill provides a sophisticated, multi-layered auditing mechanism for the BioETL data processing framework. It manages complex code review workflows by dividing analysis into three distinct levels (L1/L2/L3) across eight functional sectors, identifying critical risks and ensuring alignment with project-specific bioactivity data standards. By automating the delegation, scoring, and consolidation of reports, it enables developers to perform comprehensive full-project audits that maintain high-quality data normalization and validation pipelines.

Key Features

01Hierarchical L1/L2/L3 review orchestration

02Automated scoring and status threshold enforcement

03Consolidated reporting with critical and high-priority issue rollups

04Multi-sector analysis covering eight distinct functional areas

050 GitHub stars

06Sector-dependency management for sequential review waves

Use Cases

01Performing a full-project security and quality audit before a major release

02Ensuring multi-layer code compliance across complex data processing pipelines

03Validating new bioactivity data source integrations against existing ETL standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add satorykono/bioactivitydataacquisition py-review-orchestrator

For use in Claude.ai and ChatGPT

Key Features

01Hierarchical L1/L2/L3 review orchestration

02Automated scoring and status threshold enforcement

03Consolidated reporting with critical and high-priority issue rollups

04Multi-sector analysis covering eight distinct functional areas

050 GitHub stars

06Sector-dependency management for sequential review waves

Use Cases

01Performing a full-project security and quality audit before a major release

02Ensuring multi-layer code compliance across complex data processing pipelines

03Validating new bioactivity data source integrations against existing ETL standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add satorykono/bioactivitydataacquisition py-review-orchestrator

For use in Claude.ai and ChatGPT