Which specific risk flags are analyzed?

The skill checks for formatting errors, missing data fields, hazardous (haz) material status, and out-of-gauge (oog) dimensional risks.

What kind of report does this skill generate?

It generates a markdown report located at reports/hs_risk.md, which includes item counts categorized by risk tier and a ranked table of items with specific reasons for their flags.

How does the skill handle missing data?

It includes a fail-safe mechanism: if required columns or inputs are missing, it will output a specific '以묐떒' (interruption/summary) table rather than failing completely.

What is the primary input format for the hs-risk skill?

The skill requires a CSV file located at data/items.csv, preferably following the provided items.template.csv format.

HS Risk Scoring & Reporting

Name: HS Risk Scoring & Reporting
Author: macho715

bymacho715

Data Science & ML

Performs automated risk assessment on logistics data by identifying formatting errors, hazardous materials, and dimensional flags.

About

The hs-risk skill provides a specialized workflow for analyzing itemized data to determine shipping and compliance risks. By processing CSV inputs, it automatically identifies missing information, formatting inconsistencies, hazardous material (HAZ) status, and out-of-gauge (OOG) dimensions. This tool is essential for logistics professionals and developers who need to generate structured markdown reports that categorize items into risk tiers, providing a clear, ranked overview of potential shipping hurdles or compliance issues.

Key Features

Automated risk scoring for HS (Harmonized System) data
0 GitHub stars
Generation of detailed markdown reports with tier-based counts
Ranked item analysis with specific reason codes for risk flags
Fail-safe handling for missing data or inconsistent CSV columns
Detection of hazardous (HAZ) and out-of-gauge (OOG) shipping flags

Use Cases

Pre-clearing inventory lists for international shipping compliance
Automating safety audits for hazardous material storage and transport
Generating logistical risk summaries for large-scale procurement datasets

About

Key Features

Automated risk scoring for HS (Harmonized System) data
0 GitHub stars
Generation of detailed markdown reports with tier-based counts
Ranked item analysis with specific reason codes for risk flags
Fail-safe handling for missing data or inconsistent CSV columns
Detection of hazardous (HAZ) and out-of-gauge (OOG) shipping flags

Use Cases

Pre-clearing inventory lists for international shipping compliance
Automating safety audits for hazardous material storage and transport
Generating logistical risk summaries for large-scale procurement datasets