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/KIMISKI33/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/kimiski33/awesome-copilot/cast-imaging-structural-quality-advisor)<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/cast-imaging-structural-quality-advisor"><img src="https://agentmods.dev/badge/agents/kimiski33/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/kimiski33/awesome-copilot/cast-imaging-structural-quality-advisor"><img src="https://agentmods.dev/badge/agents/kimiski33/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 | $0.00013 | $0.00399 |
| Sonnet 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 8d 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 Structural Quality Advisor 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 — 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.
- 8d 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 KIMISKI33/awesome-copilot (1 stars, last pushed 2d ago), 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. It is 100% identical to CAST Imaging Structural Quality Advisor Agent, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
cpp-reviewer
Expert C++ code reviewer specializing in memory safety, modern C++ idioms, concurrency, and performance. Use for all C++ code changes. MUST BE USED for C++ projects.
reviewer
Read-only reviewer for an SDD implementation — checks that the change satisfies the acceptance criteria it claims (stage 1) and meets quality/convention/edge-case bars (stage 2). Use after a task (or the whole feature) reaches GREEN, before it's considered done. It reads the diff and the upstream artifacts and reports…
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…
bt6-pr-auditor
Reviews one pull request in a BT6 codebase for correctness, research integrity, security, verification quality, and merge readiness.
Reviewer
Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.
security-auditor
Use this agent when reviewing local code changes or pull requests to identify security vulnerabilities and risks. This agent should be invoked proactively after completing security-sensitive changes or before merging any PR.