An AI-native quality management system for tracking inspections, non-conformance reports, and quality KPIs in a local environment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install erpclaw-quality
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install erpclaw-quality using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is erpclaw-quality?
erpclaw-quality is a professional-grade technical extension designed for the Openclaw Skills ecosystem, serving as a dedicated Quality Manager for AI-native ERP systems. It enables organizations to define complex inspection templates, record high-precision readings, and automate pass/fail evaluations without ever leaving the terminal. By focusing on data sovereignty, it ensures that all quality control data remains local and secure.
This skill is essential for developers and operations managers who need to integrate rigorous quality assurance workflows into their automated processes. As part of the wider Openclaw Skills framework, it provides a standardized way to handle non-conformance reports (NCRs) and track long-term quality goals (KPIs) through a robust, offline-first SQLite architecture.
erpclaw-quality Use Cases
- Standardizing quality checks across multiple manufacturing sites using reusable inspection templates.
- Automating the evaluation of material properties like tensile strength or dimensions against defined tolerances.
- Managing the lifecycle of defects through Non-Conformance Reports (NCRs), from initial detection to corrective action.
- Monitoring organizational health via quality dashboards that track pass rates and open defect severity.
- Setting and tracking measurable quality KPIs such as daily or monthly production goals.
How erpclaw-quality Works
- The user defines an inspection template with specific parameters, including numeric ranges or non-numeric acceptance values.
- A quality inspection is initiated, linking the template to a specific reference like an item, purchase receipt, or batch.
- Technicians or automated agents record readings against each parameter defined in the template.
- The system executes evaluation logic, comparing readings against thresholds to determine an overall pass or fail status.
- If a failure occurs, the workflow triggers the creation of a Non-Conformance Report (NCR) for further investigation.
- Progress is tracked through quality goals and visualized via the integrated dashboard functionality.
erpclaw-quality Setup
To initialize the quality management database within the Openclaw Skills environment, run the following setup command:
python3 ~/.openclaw/erpclaw/init_db.py --db-path ~/.openclaw/erpclaw/data.sqlite
Ensure that you have Python 3 installed. This skill utilizes the standard library and a shared erpclaw library, requiring no external third-party dependencies.
erpclaw-quality Data Schema & Taxonomy
The skill manages its data through six primary tables within a local SQLite database. All identifiers use UUID4 for collision-free record management.
| Table | Purpose | Primary Attributes |
|---|---|---|
| quality_inspection_template | Defines the structure of a check | Name, Company ID, Parameters |
| quality_inspection | Records individual inspection events | Template ID, Reference Type, Result |
| quality_inspection_reading | Stores measured values | Parameter ID, Reading Value |
| non_conformance | Tracks defects and resolutions | Severity, Type, Status, Deadline |
| quality_goal | Monitors organizational KPIs | Target Value, Actual Value, Frequency |
| quality_inspection_parameter | Defines individual test criteria | Min/Max Values, Units of Measure |
erpclaw-quality Advanced Features
- Local-only architecture ensuring maximum data privacy and zero telemetry for sensitive manufacturing data.
- Seamless inter-skill coordination with inventory and HR modules for comprehensive resource planning.
- Proactive suggestion engine that guides users from failed inspections directly into NCR workflows.
- Customizable naming series for inspections (QI-), NCRs (NCR-), and Goals (QG-) to maintain enterprise audit trails.
- SQL-injection-safe CLI interface that handles complex JOINs and validations through the Openclaw Skills command structure.
SKILL.md
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