A professional auditing tool for Java Maven projects to identify secondary development scope, module distribution, and architectural risks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install java-maven-secondary-analysis
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 java-maven-secondary-analysis 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 Java Maven Secondary Analysis?
The Java Maven Secondary Analysis skill is a specialized diagnostic tool designed for developers and architects who need to evaluate existing Java projects. It provides a structured approach to identifying customizations, invasive modifications, and potential upgrade pollution within a codebase. By leveraging this tool from the Openclaw Skills library, teams can gain immediate clarity on how much a product has drifted from its original core and where custom business logic resides.
This skill is particularly effective for legacy system handovers or pre-upgrade assessments. It scans through root and module pom.xml files, Java sources, and configuration assets to generate a formal report. By using Openclaw Skills like this one, organizations ensure that their secondary development efforts are documented, risk-assessed, and technically sound.
Java Maven Secondary Analysis Use Cases
- Assessing a Java Maven project for secondary development scope during a technical handover.
- Identifying product customization traces to determine the degree of vendor lock-in.
- Evaluating upgrade pollution risks before migrating to a newer version of a base framework.
- Generating structured module distribution statistics for large-scale enterprise applications.
- Auditing invasive modifications within controller, service, mapper, and config layers.
How Java Maven Secondary Analysis Works
- The user provides a Java Maven ZIP archive or a GitLab repository URL as the primary input source.
- The skill utilizes java-maven-common to normalize the input data, ensuring a consistent directory structure for analysis.
- The scan engine executes scripts/scan_secondary_analysis.py to traverse the root and module pom.xml files.
- It performs a deep dive into src/main/java and resources to categorize components into layers like Controller, Service, and Mapper.
- The tool identifies customization evidence such as specific branding, customer-specific logic, or invasive overrides.
- All findings are compiled into a formal Markdown report using a predefined template.
- The final report is saved to the business/ directory with a timestamped filename for audit trailing.
Java Maven Secondary Analysis Setup
To get started with this skill within your environment, ensure you have the necessary python dependencies installed for the scanning scripts.
# Install the Openclaw Skills package
openclaw install java-maven-secondary-analysis
# Ensure java-maven-common is available as a dependency
openclaw install java-maven-common
# Run the analysis on a local ZIP or Git URL
openclaw run java-maven-secondary-analysis --input ./project-source.zip
Java Maven Secondary Analysis Data Schema & Taxonomy
The skill organizes its output and findings into a structured format to ensure maximum readability and traceability.
| Component | Location/Format | Description |
|---|---|---|
| Analysis Report | business/<name>-analysis-YYYY-MM-DD.md |
The primary markdown document containing all findings. |
| Scan Scripts | scripts/scan_secondary_analysis.py |
The logic used to parse the Java project structure. |
| Templates | templates/report.md |
Standardized layout for secondary development reporting. |
| Evidence Logs | File Path + Code Snippet | Inline documentation within the report providing proof for each risk identified. |
Java Maven Secondary Analysis Advanced Features
- Multi-source input support handling both local ZIP archives and remote GitLab SSH access.
- Automated layer classification (Controller/Service/Mapper/Config) to visualize architectural distribution.
- Invasive modification detection to highlight code changes that may break during future upstream updates.
- Seamless integration with the Openclaw Skills ecosystem for shared dependency management and normalization.
SKILL.md
Loading
Related Openclaw Skills
AI X-Ray Clothes Skill
An advanced AI-powered image processing skill that transforms clothing into sheer, see-through materials through automated fabric segmentation and rendering.
Bald Filter Skill
An AI-powered image processing skill that makes subjects appear bald while maintaining high-fidelity facial features.
WeShop AI Product OpenAPI Skill
A professional AI-driven image processing skill for replacing backgrounds and enhancing product still-life photography via the WeShop OpenAPI.
Facebook Auto-Engage (szzg007)
Automate Facebook engagement by following public pages and posting friendly comments on the latest posts.
Positive Psychology Companion
An evidence-based AI assistant designed to enhance well-being and psychological resilience through the lens of Positive Psychology.
Edge TTS Global
A high-performance text-to-speech skill leveraging the Microsoft Edge voice engine for natural, multilingual audio generation via AI agents.
Featured*
