Cast imaging structural agents #598
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Pull request overview
This PR introduces three specialized CAST Imaging agents and a curated collection to enhance software discovery, architectural mapping, and quality assessment workflows within GitHub Copilot. The agents leverage CAST Imaging's MCP server to provide deep code analysis capabilities.
Changes:
- Three new agent files for CAST Imaging (Software Discovery, Impact Analysis, and Structural Quality Advisor)
- A new collection file (YAML and Markdown) organizing these agents
- Updated README files to include the new agents and collection
Reviewed changes
Copilot reviewed 7 out of 7 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| agents/cast-imaging-software-discovery.agent.md | Defines an agent for comprehensive software application discovery and architectural mapping |
| agents/cast-imaging-impact-analysis.agent.md | Defines an agent for change impact assessment and risk analysis |
| agents/cast-imaging-structural-quality-advisor.agent.md | Defines an agent for identifying and remediating code quality issues |
| collections/cast-imaging.collection.yml | Collection configuration file organizing the three CAST Imaging agents |
| collections/cast-imaging.md | Collection documentation with usage guidance for each agent |
| docs/README.agents.md | Updated to include the three new CAST Imaging agents |
| docs/README.collections.md | Updated to include the new CAST Imaging collection |
| --- | ||
| name: 'CAST Imaging Software Discovery Agent' | ||
| description: 'Specialized agent for comprehensive software application discovery and architectural mapping through static code analysis using CAST Imaging' | ||
| mcp-servers: | ||
| imaging-structural-search: | ||
| type: 'http' | ||
| url: 'https://castimaging.io/imaging/mcp/' | ||
| headers: | ||
| 'x-api-key': '${input:imaging-key}' | ||
| args: [] | ||
| --- |
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According to the coding guidelines, it is strongly encouraged to use a model field to specify the model that the agent is optimized for. Consider adding a model field in the front matter, for example: model: GPT-4.1 or model: Claude Sonnet 4.5.
| --- | ||
| name: 'CAST Imaging Impact Analysis Agent' | ||
| description: 'Specialized agent for comprehensive change impact assessment and risk analysis in software systems using CAST Imaging' | ||
| mcp-servers: | ||
| imaging-impact-analysis: | ||
| type: 'http' | ||
| url: 'https://castimaging.io/imaging/mcp/' | ||
| headers: | ||
| 'x-api-key': '${input:imaging-key}' | ||
| args: [] | ||
| --- |
There was a problem hiding this comment.
According to the coding guidelines, it is strongly encouraged to use a model field to specify the model that the agent is optimized for. Consider adding a model field in the front matter, for example: model: GPT-4.1 or model: Claude Sonnet 4.5.
| --- | ||
| name: 'CAST Imaging Structural Quality Advisor Agent' | ||
| description: 'Specialized agent for identifying, analyzing, and providing remediation guidance for code quality issues using CAST Imaging' | ||
| mcp-servers: | ||
| imaging-structural-quality: | ||
| type: 'http' | ||
| url: 'https://castimaging.io/imaging/mcp/' | ||
| headers: | ||
| 'x-api-key': '${input:imaging-key}' | ||
| args: [] | ||
| --- |
There was a problem hiding this comment.
According to the coding guidelines, it is strongly encouraged to use a model field to specify the model that the agent is optimized for. Consider adding a model field in the front matter, for example: model: GPT-4.1 or model: Claude Sonnet 4.5.
|
Hello |
aaronpowell
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aaronpowell
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Don't stress on the Copilot comments above, I need to review the guidance the PR agent has at the moment as it's a bit stale since we have things like auto model selection available now
2 participants
Pull Request Checklist
npm startand verified thatREADME.mdis up to date.Description
This Pull Request introduces three specialized CAST Imaging Agents and a curated Collection to enhance software discovery, architectural mapping, and quality assessment workflows within GitHub Copilot.
Summary of Contributions
Specialized Agents (agents/)
1/ Software Discovery Agent (cast-imaging-software-discovery.agent.md): Facilitates deep exploration of application architectures, including component mapping, dependency tracing, database schema exploration, and physical source file analysis.
2/ Impact Analysis Agent (cast-imaging-impact-analysis.agent.md): Specializes in change risk assessment by tracing ripple effects through multiple dependency levels and identifying high-risk architectural coupling (shared resources) across the system.
3/ Structural Quality Advisor Agent (cast-imaging-structural-quality-advisor.agent.md): Provides targeted remediation guidance for structural flaws, with specialized workflows for Security (CVE), Green IT deficiencies, and ISO-5055 compliance.
Collection (collections/)
CAST Imaging Collection (cast-imaging.collection.yml):
Organizes the above agents into a unified, installable collection. It provides users with clear usage guidance and scenario-based "Ideal for" descriptions to help them choose the right tool for their modernization or maintenance tasks.
Type of Contribution
Additional Notes
By submitting this pull request, I confirm that my contribution abides by the Code of Conduct and will be licensed under the MIT License.