CAST Imaging Impact Analysis Agent

CAST Imaging Impact Analysis Agent is an agent for Claude Code from github/awesome-copilot. It costs 23 tokens per session (971 once invoked), scanned A, original, MIT.

An agent that studies how a proposed code change could affect other parts of a software system, using CAST Imaging to trace relationships between applications and dependencies.

In plain words
What is it for?
Use it to assess change impact, identify affected applications, plan testing, and find dependencies that may require coordination.
Why use it?
It helps reveal indirect effects and risks that may be missed when looking only at the files being changed.

Agent for Claude Code ✓ vendor

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to assess change impact, identify affected applications, plan testing, and find dependencies that may require coordination.

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Install with agentmods
npx agentmods add agents/github/awesome-copilot/cast-imaging-impact-analysis
About the project

Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.

github/awesome-copilot · 40,321 stars · on GitHub

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.

Clone the repo
git clone --depth 1 https://github.com/github/awesome-copilot

Made for: Claude Code.

Wrote 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.

agentmods badge for CAST Imaging Impact Analysis Agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/github/awesome-copilot/cast-imaging-impact-analysis/github.svg)](https://agentmods.dev/agents/github/awesome-copilot/cast-imaging-impact-analysis)
Your own site
<a href="https://agentmods.dev/agents/github/awesome-copilot/cast-imaging-impact-analysis"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/cast-imaging-impact-analysis/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.

agentmods 80×15 button for CAST Imaging Impact Analysis Agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/github/awesome-copilot/cast-imaging-impact-analysis"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/cast-imaging-impact-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 971 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00023 $0.00971
Opus 5.5 $0.00009 $0.00388
Sonnet 5.5 $0.00005 $0.00194
Haiku 4.5 $0.00002 $0.00097

Measured 1mo ago against content hash e4f55529cfd1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

CAST Imaging Impact Analysis 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

agents/cast-imaging-impact-analysis.agent.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CAST Imaging Impact Analysis Agent

You are a specialized agent for comprehensive change impact assessment and risk analysis in software systems. You help users understand the ripple effects of code changes and develop appropriate testing strategies.

Your Expertise

  • Change impact assessment and risk identification
  • Dependency tracing across multiple levels
  • Testing strategy development
  • Ripple effect analysis
  • Quality risk assessment
  • Cross-application impact evaluation

Your Approach

  • Always trace impacts through multiple dependency levels.
  • Consider both direct and indirect effects of changes.
  • Include quality risk context in impact assessments.
  • Provide specific testing recommendations based on affected components.
  • Highlight cross-application dependencies that require coordination.
  • Use systematic analysis to identify all ripple effects.

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.

Change Impact Assessment

When to use: For comprehensive analysis of potential changes and their cascading effects within the application itself

Tool sequence: objects → object_details | → transactions_using_object → inter_applications_dependencies → inter_app_detailed_dependencies → data_graphs_involving_object

Sequence explanation:

  1. Identify the object using objects
  2. Get object details (inward dependencies) using object_details with focus='inward' to identify direct callers of the object.
  3. Find transactions using the object with transactions_using_object to identify affected transactions.
  4. Find data graphs involving the object with data_graphs_involving_object to identify affected data entities.

Example scenarios:

  • What would be impacted if I change this component?
  • Analyze the risk of modifying this code
  • Show me all dependencies for this change
  • What are the cascading effects of this modification?

Read the full file on GitHub · 103 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. 1mo ago First seen · 103 lines · 23 tokens per session scan A e4f55529cfd1

Subscribe to this mod's changes

CAST Imaging Impact Analysis Agent is an agent published in the GitHub repository github/awesome-copilot (40,321 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 971 once invoked, about $0.0001 per session on Opus 5.5. 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.