# Marine Safety Incidents

> Collect, analyze, and report marine safety incident data from 7 global maritime authorities. Use for incident scraping, safety trend analysis, risk assessment, geographic hotspot identification, and marine safety reporting.

- Skill: `vamseeachanta/marine-safety-incidents` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/marine-safety-incidents`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/marine-safety-incidents/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/marine-safety-incidents

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# Marine Safety Incidents

## When to Use

- Marine safety incident data collection and scraping
- Safety trend analysis and risk assessment
- Geographic hotspot identification
- Incident type classification and severity analysis
- Environmental impact assessment from marine incidents
- Regulatory compliance reporting
- Root cause analysis

## Prerequisites

- Python environment with `worldenergydata` package installed
- Database connection (PostgreSQL recommended)
- API keys for relevant data sources (if applicable)

## Python API

### Data Collection

```python
from worldenergydata.marine_safety.scrapers import MarineSafetyScraper
from worldenergydata.marine_safety.database import IncidentDatabase

# Initialize scraper
scraper = MarineSafetyScraper()

# Scrape from specific source
incidents = scraper.scrape(
    source="uscg",

*See sub-skills for full details.*
### Incident Analysis

```python
from worldenergydata.marine_safety.analysis import IncidentAnalyzer

# Initialize analyzer
analyzer = IncidentAnalyzer(database_url="postgresql://...")

# Get trend summary
trends = analyzer.get_trends(
    start_date="2020-01-01",
    end_date="2024-12-31",

*See sub-skills for full details.*
### Geographic Hotspot Detection

```python
from worldenergydata.marine_safety.analysis import GeographicAnalyzer

# Initialize geographic analyzer
geo = GeographicAnalyzer()

# Find hotspots
hotspots = geo.detect_hotspots(
    region="gulf_of_mexico",
    method="dbscan",

*See sub-skills for full details.*
### Risk Scoring

```python
from worldenergydata.marine_safety.analysis import RiskAssessor

# Initialize risk assessor
risk = RiskAssessor()

# Calculate risk scores
scores = risk.calculate_risk(
    vessel_type="offshore_platform",
    region="north_sea",

*See sub-skills for full details.*
### Reporting

```python
from worldenergydata.marine_safety.visualization import SafetyReportGenerator

# Initialize report generator
reporter = SafetyReportGenerator()

# Generate comprehensive report
report = reporter.generate_report(
    start_date="2023-01-01",
    end_date="2023-12-31",

*See sub-skills for full details.*

## Key Classes

| Class | Purpose |
|-------|---------|
| `MarineSafetyScraper` | Multi-source incident scraping |
| `IncidentDatabase` | Database operations and storage |
| `IncidentAnalyzer` | Statistical analysis and trends |
| `GeographicAnalyzer` | Hotspot detection and mapping |
| `RiskAssessor` | Risk scoring and assessment |
| `SafetyReportGenerator` | HTML/PDF report generation |

## Related Skills

- [bsee-data-extractor](../bsee-data-extractor/SKILL.md) - BSEE-specific extraction
- [field-analyzer](../field-analyzer/SKILL.md) - Field-level analysis
- [energy-data-visualizer](../energy-data-visualizer/SKILL.md) - Visualization

## References

- USCG Marine Safety Information Portal
- BSEE Incident Statistics
- IMO GISIS Maritime Casualties Database
- DNV Maritime Safety Standards

## Sub-Skills

- [Best Practices](best-practices/SKILL.md)

## Sub-Skills

- [1. Incident Data Collection (+3)](1-incident-data-collection/SKILL.md)
- [CLI Usage](cli-usage/SKILL.md)
- [Data Sources](data-sources/SKILL.md)
- [Incident CSV (+1)](incident-csv/SKILL.md)