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/LarouexNonprofitConsulting/larouex-fullstack-pluginWrote 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/commands/larouexnonprofitconsulting/larouex-fullstack-plugin/scaffold-azure-full)<a href="https://agentmods.dev/commands/larouexnonprofitconsulting/larouex-fullstack-plugin/scaffold-azure-full"><img src="https://agentmods.dev/badge/commands/larouexnonprofitconsulting/larouex-fullstack-plugin/scaffold-azure-full/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/commands/larouexnonprofitconsulting/larouex-fullstack-plugin/scaffold-azure-full"><img src="https://agentmods.dev/badge/commands/larouexnonprofitconsulting/larouex-fullstack-plugin/scaffold-azure-full.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 | $0.00000 | $0.00156 |
| Opus 5 | $0.00000 | $0.00078 |
| Sonnet 5 | $0.00000 | $0.00031 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
scaffold-azure-full 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 6d 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
1 near-identical copy found in the catalogue:
- scaffold-azure-full — 100% identical, 0 lines differ
What it actually says
Create a complete Azure full-stack application with modern architecture.
Build an enterprise-ready application with:
- Next.js 15 frontend with App Router, TypeScript, and Bootstrap 5
- Azure Functions v4 backend API with TypeScript
- Azure Table Storage integration with entity schemas and CRUD operations
- Application Insights monitoring on frontend and backend
- Multi-environment configuration: dev, staging, production
- GitHub Actions CI/CD workflows for automated deployment to Azure Static Web Apps
- Environment-specific settings in staticwebapp.config.json
- API client utilities in Next.js for calling Azure Functions
- Shared TypeScript types between frontend and backend
- Comprehensive README.md with architecture diagram and deployment guide
Include security best practices, error handling, logging, and proper separation of concerns.
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.
- 6d ago First seen · 16 lines · 0 tokens per session scan A 748eadb8ec21
scaffold-azure-full is a command published in the GitHub repository LarouexNonprofitConsulting/larouex-fullstack-plugin (8 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 156 tokens. 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 2026-09-03.
Other commands, from other repositories
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Audit the project for WCAG 2.1 AA accessibility compliance.