CAST Imaging Software Discovery Agent

A software-discovery assistant that examines source code to map an application’s structure, dependencies, and architecture. CAST Imaging is a tool for visualising how software components relate to one another.

In plain words
What is it for?
Use it to discover applications, inspect architecture and dependencies, identify patterns, and create technical or business documentation with visual context.
Why use it?
It helps people understand unfamiliar systems without reading every file first. Progressive exploration connects high-level application views with detailed component relationships.

Agent

Install

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.

agentmods
npx agentmods add agents/github/awesome-copilot/cast-imaging-software-discovery
Clone the repo
git clone --depth 1 https://github.com/github/awesome-copilot
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 777 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00024 $0.00777
Opus 5 $0.00012 $0.00388
Sonnet 5 $0.00005 $0.00155
Haiku 4.5 $0.00002 $0.00078

Measured 3d ago against content hash c44f86312622, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

agents/cast-imaging-software-discovery.agent.md · 101 lines

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: applicationsstatsarchitectural_graph | → quality_insightstransactionsdata_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: statsarchitectural_graphobjectsobject_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: | → packagespackage_interactionsobject_detailsinter_applications_dependencies

Read the full file on GitHub · 101 lines

Changes

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.

  1. 3d ago First seen · 101 lines · 24 tokens per session scan A c44f86312622

Subscribe to this mod's changes

CAST Imaging Software Discovery Agent is an agent published in the GitHub repository github/awesome-copilot (38,502 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 777 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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