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.
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/github/awesome-copilotWrote 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/github/awesome-copilot/cast-imaging-structural-quality-advisor)<a href="https://agentmods.dev/agents/github/awesome-copilot/cast-imaging-structural-quality-advisor"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/cast-imaging-structural-quality-advisor/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/github/awesome-copilot/cast-imaging-structural-quality-advisor"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/cast-imaging-structural-quality-advisor.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 | $0.00026 | $0.00798 |
| Opus 5.5 | $0.00010 | $0.00319 |
| Sonnet 5.5 | $0.00005 | $0.00160 |
| Haiku 4.5 | $0.00003 | $0.00080 |
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 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- CAST Imaging Structural Quality Advisor Agent — 100% identical, 0 lines differ
- CAST Imaging Structural Quality Advisor Agent — 100% identical, 0 lines differ
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_insights → quality_insight_occurrences → object_details |
→ transactions_using_object
→ data_graphs_involving_object
Sequence explanation:
- Get quality insights using
quality_insightsto identify structural flaws. - Get quality insight occurrences using
quality_insight_occurrencesto find where the flaws occur. - Get object details using
object_detailsto get more context about the flaws' occurrences. 4.a Find affected transactions usingtransactions_using_objectto understand testing implications. 4.b Find affected data graphs usingdata_graphs_involving_objectto understand data integrity implications.
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 · 86 lines · 26 tokens per session scan A d05ece6494fe
CAST Imaging Structural Quality Advisor Agent is an agent published in the GitHub repository github/awesome-copilot (40,321 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 798 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.
Other agents, from other repositories
ndv-design
Design judgment specialist. Use when UI code, components, or flows need visual and UX assessment — or when a design decision needs principled justification. Reads code as its rendered visual output. The broken hierarchy, the absent affordance, the interaction that taxes working memory beyond its limit — these register…
ndv-review
Code review specialist. Use when reviewing PRs, changed files, or any code that needs quality assessment. Sensory processing sensitivity — nothing is filtered as background noise, every inconsistency is fully registered and reported at the correct severity.
vibeflow-architect
Senior software architect and technical PM. Plans features, reviews specs, audits implementations. Does NOT write code.
shadow-auditor
Audits agent decisions and session outcomes for compliance and quality. Assign as a shadow for end-of-session review.
skill-reviewer
Skill quality reviewer for SKILL.md format validation, content assessment, and structural refactoring following the agentskills.io standard.
critic
../../src/claude/agents/critic.md.