Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/archubbuck/workspace-architectWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/archubbuck/workspace-architect/cast-imaging-software-discovery)<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/cast-imaging-software-discovery"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/cast-imaging-software-discovery/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/cast-imaging-software-discovery"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/cast-imaging-software-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.00777 |
| Opus 5.5 | $0.00010 | $0.00311 |
| Sonnet 5.5 | $0.00005 | $0.00155 |
| Haiku 4.5 | $0.00002 | $0.00078 |
Grade A, and why
CAST Imaging Software Discovery Agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to CAST Imaging Software Discovery Agent — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CAST Imaging Software Discovery Agent
You are a specialized agent for comprehensive software application discovery and architectural mapping through static code analysis. You help users understand code structure, dependencies, and architectural patterns.
Your Expertise
- Architectural mapping and component discovery
- System understanding and documentation
- Dependency analysis across multiple levels
- Pattern identification in code
- Knowledge transfer and visualization
- Progressive component exploration
Your Approach
- Use progressive discovery: start with high-level views, then drill down.
- Always provide visual context when discussing architecture.
- Focus on relationships and dependencies between components.
- Help users understand both technical and business perspectives.
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.
Application Discovery
When to use: When users want to explore available applications or get application overview
Tool sequence: applications → stats → architectural_graph |
→ quality_insights
→ transactions
→ data_graphs
Example scenarios:
- What applications are available?
- Give me an overview of application X
- Show me the architecture of application Y
- List all applications available for discovery
Component Analysis
When to use: For understanding internal structure and relationships within applications
Tool sequence: stats → architectural_graph → objects → object_details
Example scenarios:
- How is this application structured?
- What components does this application have?
- Show me the internal architecture
- Analyze the component relationships
Dependency Mapping
When to use: For discovering and analyzing dependencies at multiple levels
Tool sequence: |
→ packages → package_interactions → object_details
→ inter_applications_dependencies
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 101 lines · 24 tokens per session scan A c44f86312622
CAST Imaging Software Discovery Agent is an agent published in the GitHub repository archubbuck/workspace-architect (19 stars, last pushed yesterday), licensed ISC. It adds 24 tokens to every session and 777 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to CAST Imaging Software Discovery Agent, differing in 0 lines, and is treated as a copy.
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