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/Ashikparvez89/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/ashikparvez89/larouex-fullstack-plugin/add-upload-railway)<a href="https://agentmods.dev/commands/ashikparvez89/larouex-fullstack-plugin/add-upload-railway"><img src="https://agentmods.dev/badge/commands/ashikparvez89/larouex-fullstack-plugin/add-upload-railway.svg" alt="Measured on agentmods" 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 | $0.00115 |
| Opus 5 | $0.00000 | $0.00057 |
| Sonnet 5 | $0.00000 | $0.00023 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
add-upload-railway 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 5d 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 add-upload-railway — 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.
What it actually says
Implement file upload functionality using Railway volumes or S3-compatible storage. Create upload component with drag-and-drop interface. Add Express API endpoint for file handling with multer middleware. Implement multipart/form-data parsing. Add upload progress tracking. Validate file types, sizes, and names server-side. Store files in Railway persistent volume with organized directory structure. Implement file serving endpoint with proper content-type headers. Add file listing and deletion APIs. Handle disk space limits. Configure storage path in environment variables. Reference devops-railway-agent for Railway volumes setup. Provide file management UI and API documentation.
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.
- 5d ago First seen · 2 lines · 0 tokens per session scan A 7c35d2f08c96
add-upload-railway is a command published in the GitHub repository Ashikparvez89/larouex-fullstack-plugin (3 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 115 tokens. A static security scan graded it A with 0 findings. It is 100% identical to add-upload-railway, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
add-websockets-azure
Implement real-time communication using Azure SignalR Service. Set up Azure SignalR resource and obtain connection string. Create Azure Function for SignalR negotiation endpoint. Implement SignalR hub with message broadcasting methods. Create client connection hooks with automatic reconnection. Implement…
scaffold-azure-functions
Create an Azure Functions v4 project with TypeScript.
add-api-azure
Create a new Azure Function HTTP endpoint with full integration.
add-search-azure
Integrate Azure Cognitive Search for powerful full-text search. Set up Azure Cognitive Search service and create search index with schema. Create Azure Function for search API endpoint with query parameters. Implement search component with filters and facets. Add autocomplete and suggestions using search service…
add-upload-azure
Implement file upload functionality with Azure Blob Storage. Create upload component with drag-and-drop interface and file selection. Build Azure Function to generate SAS tokens for secure direct uploads. Implement client-side upload to Blob Storage using Azure SDK. Add upload progress tracking with progress bar.…
add-upload-railway
Implement file upload functionality using Railway volumes or S3-compatible storage. Create upload component with drag-and-drop interface. Add Express API endpoint for file handling with multer middleware. Implement multipart/form-data parsing. Add upload progress tracking. Validate file types, sizes, and names…