site-condition-check

Assess structural condition and safety hazards of plantation staff quarters from photos.

1|Updated Jun 21, 2026
One-click install
npx skills add https://github.com/tapway/shogun-os --skill site-condition-check-tapway
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: site-condition-check
Source: https://github.com/tapway/shogun-os/tree/main/industries/plantation/skills/site-condition-check
Command: npx skills add https://github.com/tapway/shogun-os --skill site-condition-check-tapway

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Inspecting plantation staff quarters for structural damage and safety hazards requires on-site visits or manual photo review, which is slow and inconsistent across inspectors. This Skill standardizes photo-based structural assessment into a repeatable JSON output. ## Core Features & Use Cases - Structural Assessment: Evaluates walls, ceiling, windows, lighting, and ventilation from a photo using a vision model. - Safety Hazard Detection: Scans for exposed wiring, broken glass, structural damage, and fire hazards, returning "None visible" when clear. - Habitability Rating: Classifies quarters as good, acceptable, needs maintenance, or uninhabitable, with up to three priority actions. - Multi-Image Handling: Analyzes multiple photos separately and takes the worst rating per structural element. - Use Case: A plantation supervisor photographs a staff quarters room during inspection; the Skill returns a structured JSON report rating each structural element and listing safety hazards, which feeds into a broader inspection pipeline alongside furniture counting and cleanliness checks. ## Quick Start Send a photo of a staff quarters room and ask the agent to check its structural condition and safety hazards.

Frequently Asked Questions about site-condition-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess building condition from a photo with AI?

Provide an image file of the room and the Skill runs a vision analysis focused on walls, ceiling, windows, lighting, and ventilation. It returns a JSON object with per-element condition, safety hazards, an overall habitability rating, and up to three priority actions.

What does the site condition check output look like?

The output is a JSON object with a site_condition block covering walls, ceiling, windows, lighting, and ventilation, plus safety_hazards, an overall_rating (good, acceptable, needs maintenance, or uninhabitable), and priority_actions limited to three items.

Can I analyze multiple room photos in one inspection?

Yes. Each photo is analyzed separately via the vision tool, the worst rating across photos is taken for each structural element, and all unique safety hazards are collected with notes on which photo showed each issue.

Does this skill count furniture or check cleanliness?

No. Furniture counting is handled by the furniture-count skill and cleanliness by the cleanliness-check skill. This Skill only assesses structural condition and safety; wall stains are treated as cleanliness while wall cracks are structural.

What safety hazards does the photo inspection detect?

It scans for exposed electrical wiring, broken glass, structural damage such as large cracks or bowing walls, fire hazards, missing window safety grills, and missing emergency exits. If none are visible, it explicitly reports "None visible".