ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified data analysis Safety 4/5

Subcontractor Prequalification

Prequalify subcontractors based on safety, financial, and performance criteria.

Why use this skill?

Efficiently prequalify construction subcontractors using the OpenClaw Subcontractor Prequalification skill. Analyze safety, financial, and performance metrics in one platform.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/datadrivenconstruction/subcontractor-prequalification
Or

What This Skill Does

The Subcontractor Prequalification skill provides a structured framework for construction project managers to assess and vet potential partners. It automates the tracking of subcontractor applications based on critical performance metrics including safety records (EMR), financial stability, bonding capacity, and relevant trade experience. By centralizing the qualification process, this skill ensures that only vetted contractors are selected for project work, significantly reducing risk and liability on large-scale construction sites.

Installation

To integrate this skill into your environment, run the following command in your terminal:

clawhub install openclaw/skills/skills/datadrivenconstruction/subcontractor-prequalification

Use Cases

  • Project Onboarding: Streamline the vetting process for new vendors during the bidding phase of a project.
  • Risk Management: Maintain a consistent, data-driven approach to approving contractors based on mandatory minimum safety scores.
  • Portfolio Monitoring: Track historical performance and financial data of existing subcontractors to determine renewal eligibility.

Example Prompts

  1. "Initialize a new prequalification tracking project for the Midtown High-Rise development and add an application for Apex Concrete Services with an annual revenue of $2M and an EMR of 0.85."
  2. "Score the application PQ-001 based on a safety record of 8 and financial stability of 7, then check if they meet the minimum criteria."
  3. "List all pending subcontractor applications for the Midtown High-Rise project that have been in business for more than 5 years."

Tips & Limitations

  • Data Integrity: Ensure that the input data for annual revenue and bonding capacity is accurate, as these serve as key pillars for the financial scoring module.
  • Subjective Scoring: While the system enforces min/max score constraints, the actual scoring of qualitative factors like 'References' remains a human-in-the-loop task. Ensure your project team agrees on scoring rubrics before inputting values.
  • Dynamic Weights: The system uses predefined weighting criteria; while these are robust for general construction, large-scale federal projects may require adjustments to the 'Insurance/Bonding' weight to reflect specific federal compliance requirements.

Metadata

Stars1100
Views1
Updated2026-02-17
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-datadrivenconstruction-subcontractor-prequalification": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#construction#prequalification#vendor-management#safety#project-management
Safety Score: 4/5

Flags: code-execution