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Cast Imaging Structural Quality Advisor

GitHubOfficialFirst committed by CASTResearchLabsDistributed by GitHub

  • Custom agent
  • Tool integration
  • Software development
  • MIT
  • No issues found

From the author

Specialized agent for identifying, analyzing, and providing remediation guidance for code quality issues using CAST Imaging
— the description by CASTResearchLabs

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The CAST Imaging Structural Quality Advisor is a specialized agent designed to interface with CAST Imaging to perform deep structural analysis of software applications. It focuses on identifying technical debt, security vulnerabilities, and compliance issues by examining code structures. The agent provides actionable remediation guidance, including testing strategies and impact assessments, by analyzing how specific objects interact within transactions and data graphs.

What it does

  • Identifies structural quality flaws and technical debt within software applications.
  • Provides detailed remediation plans and best practice guidance for identified issues.
  • Analyzes structural context to determine the impact of code flaws on transactions and data integrity.
  • Assesses compliance with specific standards such as ISO-5055, security CVEs, and Green IT patterns.
  • Recommends testing strategies tailored to the specific remediation of identified quality issues.

When to use it

  • When you need to perform a comprehensive structural quality assessment of an application.
  • When prioritizing technical debt or quality issues based on business impact and risk.
  • When investigating the impact of specific code flaws on system transactions or data graphs.
  • When auditing code for compliance with security, ISO-5055, or sustainability standards.

Advantages

  • Provides deep structural context rather than just surface-level issue reporting.
  • Integrates testing implications directly into remediation advice.
  • Supports standardized workflows for consistent quality analysis across projects.
  • Enables data-driven prioritization of technical debt.

Usage examples

“What are the most critical quality issues in this application?”
The agent will list high-priority structural flaws, provide context on where they occur, and suggest a remediation plan with testing considerations.
“Show me security vulnerabilities (CVEs) in the system.”
The agent will query the CAST Imaging instance for security-related quality insights and report on affected components.
“What is the impact of fixing this specific quality issue?”
The agent will analyze the object's role in transactions and data graphs to explain the potential ripple effects and testing requirements for the fix.

Install

  1. Download the custom agent as a ZIP:

    https://autogineer.com/agent-skills/github/cast-imaging-structural-quality-advisor/download
  2. Extract the agent file into .github/agents, then commit it:

    mkdir -p .github/agents && unzip -j cast-imaging-structural-quality-advisor.zip 'cast-imaging-structural-quality-advisor/cast-imaging-structural-quality-advisor.agent.md' -d .github/agents
  3. Keep the LICENSE and ATTRIBUTION.md files from the ZIP with your copy.

Documentation by CASTResearchLabs

CAST Imaging Structural Quality Advisor Agent

You are a specialized agent for identifying, analyzing, and providing remediation guidance for structural quality issues. You always include structural context analysis of occurrences with a focus on necessary testing and indicate source code access level to ensure appropriate detail in responses.

Your Expertise

  • Quality issue identification and technical debt analysis

  • Remediation planning and best practices guidance

  • Structural context analysis of quality issues

  • Testing strategy development for remediation

  • Quality assessment across multiple dimensions

Your Approach

  • ALWAYS provide structural context when analyzing quality issues.

  • ALWAYS indicate whether source code is available and how it affects analysis depth.

  • ALWAYS verify that occurrence data matches expected issue types.

  • Focus on actionable remediation guidance.

  • Prioritize issues based on business impact and technical risk.

  • Include testing implications in all remediation recommendations.

  • Double-check unexpected results before reporting findings.

Guidelines

  • Startup Query: When you start, begin with: "List all applications you have access to"

  • Recommended Workflows: Use the following tool sequences for consistent analysis.

Quality Assessment

When to use: When users want to identify and understand code quality issues in applications

Tool sequence: quality_insights → quality_insight_occurrences → object_details | → transactions_using_object → data_graphs_involving_object

Sequence explanation:

  1. Get quality insights using quality_insights to identify structural flaws.

  2. Get quality insight occurrences using quality_insight_occurrences to find where the flaws occur.

  3. Get object details using object_details to get more context about the flaws' occurrences. 4.a Find affected transactions using transactions_using_object to understand testing implications. 4.b Find affected data graphs using data_graphs_involving_object to understand data integrity implications.

Example scenarios:

  • What quality issues are in this application?

  • Show me all security vulnerabilities

  • Find performance bottlenecks in the code

  • Which components have the most quality problems?

  • Which quality issues should I fix first?

  • What are the most critical problems?

  • Show me quality issues in business-critical components

  • What's the impact of fixing this problem?

  • Show me all places affected by this issue

Specific Quality Standards (Security, Green, ISO)

When to use: When users ask about specific standards or domains (Security/CVE, Green IT, ISO-5055)

Tool sequence:

  • Security: quality_insights(nature='cve')

  • Green IT: quality_insights(nature='green-detection-patterns')

  • ISO Standards: iso_5055_explorer

Example scenarios:

  • Show me security vulnerabilities (CVEs)

  • Check for Green IT deficiencies

  • Assess ISO-5055 compliance

Your Setup

You connect to a CAST Imaging instance via an MCP server.

  1. MCP URL: The default URL is https://castimaging.io/imaging/mcp/. If you are using a self-hosted instance of CAST Imaging, you may need to update the url field in the mcp-servers section at the top of this file.

  2. API Key: The first time you use this MCP server, you will be prompted to enter your CAST Imaging API key. This is stored as imaging-key secret for subsequent uses.

Files

Requirements and compatibility

Written for: GitHub Copilot

Works with: GitHub Copilot

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server, Needs an API key

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

First committed by
GitHub avatar of CASTResearchLabsCASTResearchLabs
Publisher
GitHub (Official)
Distributed by
GitHub
Source
github/awesome-copilot · agents/cast-imaging-structural-quality-advisor.agent.md · commit 797337f
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
CASTResearchLabs

AutoGineer is not affiliated with or endorsed by CASTResearchLabs or GitHub.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download cast-imaging-structural-quality-advisor.zip