CAST Imaging Structural Quality Advisor Agent

An agent for analyzing structural code-quality problems with CAST Imaging, a tool that maps software structure and reports quality issues. It examines where issues occur, how serious they are, and what testing may be needed.

In plain words
What is it for?
Use it to identify technical debt, understand the affected parts of an application, prioritize remediation, plan fixes, and determine testing implications.
Why use it?
It adds context to quality findings instead of treating each occurrence as an isolated warning. It also makes clear how much source-code access is available for the analysis.

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-structural-quality-advisor
Clone the repo
git clone --depth 1 https://github.com/github/awesome-copilot
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 798 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 $0.00026 $0.00798
Opus 5 $0.00013 $0.00399
Sonnet 5 $0.00005 $0.00160
Haiku 4.5 $0.00003 $0.00080

Measured 2d ago against content hash d05ece6494fe, 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 Structural Quality Advisor 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 2d 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-structural-quality-advisor.agent.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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_insightsquality_insight_occurrencesobject_details | → transactions_using_objectdata_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.

Read the full file on GitHub · 86 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. 2d ago First seen · 86 lines · 26 tokens per session scan A d05ece6494fe

Subscribe to this mod's changes

CAST Imaging Structural Quality Advisor Agent is an agent published in the GitHub repository github/awesome-copilot (38,502 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 798 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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