Construction-Hazard-Detection: Enhances construction site safety using YOLO for object detection, identifying hazards like workers without

by yihong1120 · MCP Server · ★ 351

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 66/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

alert-systemapisartificial-intelligenceclusteringcomputer-visiondata-annotationdeep-learningfastapifastmcphazard-detection

Quick Facts

Stars351
Forks47
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score66/100
Last Updated2026-10-29
Created2024-01-02
Platformsmcp, python
Est. Tokens~17k

About Construction-Hazard-Detection

🇬🇧 English | 🇹🇼 繁體中文 Construction Hazard Detection Server API | MCP Server | FCM Notification Server | Violation Records Server | Web BFF | Flutter App | Data Management Server | Streaming Web | Data Augmentation | Evaluation | Train <a href="https://fastapi.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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