What is the primary purpose of the fof-qc-summarizer?

Its primary purpose is to aggregate aggregate-only QC artifacts for the K18 subproject within the Fear-of-Falling repository, producing summary files and updating manifests.

What happens if the manifest format doesn't match?

The skill operates on a 'fail-closed' policy; if manifest helpers are missing or headers do not match perfectly, the script exits without making changes to prevent data corruption.

How does this skill handle data privacy?

The skill includes strict guardrails that skip any file or column containing 'ids', 'row_level', or 'participant' to ensure no sensitive participant data is processed or summarized.

Where should I run this skill from?

You should run this skill from either the Fear-of-Falling subproject root or the main repository root for proper directory discovery.

Fear-of-Falling QC Summarizer

Name: Fear-of-Falling QC Summarizer
Author: Tupatuko2023

byTupatuko2023

0•

Data Science & ML

Aggregates K18 quality control artifacts into comprehensive summary reports while maintaining project manifests.

The fof-qc-summarizer skill is a specialized tool designed for the Fear-of-Falling (FoF) research subproject to automate the aggregation of K18 Quality Control outputs. It intelligently scans project directories for QC artifacts, processes them through R-based scripts, and generates both CSV and TXT summaries. By integrating with existing project policies and manifest helpers, it ensures that research data remains organized and documented. The skill features robust 'fail-closed' safety mechanisms and privacy guardrails, automatically skipping sensitive participant-level data to ensure compliance with research standards.

Key Features

01Generation of standardized CSV and TXT summary reports

02Seamless integration with Fear-of-Falling project policies

03Privacy-first filtering of participant-level identifiers

04Automated aggregation of K18 QC artifacts

050 GitHub stars

06Intelligent manifest row appending with format verification

Use Cases

01Automating the maintenance of research manifests after data runs

02Compiling high-level quality control reports for K18 research outputs

03Ensuring project-wide compliance with QC checklists and privacy standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tupatuko2023/python-r-scripts fof-qc-summarizer

For use in Claude.ai and ChatGPT

Download Skill