Borrowing it
Nothing to install: this file belongs to josephmcgarvey/runcloud-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/josephmcgarvey/runcloud-mcp-server/main/.agents/skills/ai-sdk-development/SKILL.mdgit clone --depth 1 https://github.com/josephmcgarvey/runcloud-mcp-serverWrote 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/skills/josephmcgarvey/runcloud-mcp-server/ai-sdk-development)<a href="https://agentmods.dev/skills/josephmcgarvey/runcloud-mcp-server/ai-sdk-development"><img src="https://agentmods.dev/badge/skills/josephmcgarvey/runcloud-mcp-server/ai-sdk-development.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 | $0.00146 | $0.03214 |
| Opus 5 | $0.00073 | $0.01607 |
| Sonnet 5 | $0.00029 | $0.00643 |
| Haiku 4.5 | $0.00015 | $0.00321 |
Grade A, and why
ai-sdk-development 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 472 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Developing with the Laravel AI SDK
The Laravel AI SDK (laravel/ai) is the official AI package for Laravel, providing a unified API for agents, images, audio, transcription, embeddings, reranking, vector stores, and file management across multiple AI providers.
Searching the Documentation
This package is new. Always search the documentation before implementing any feature. Never guess at APIs — the documentation is the single source of truth.
- Use broad, simple queries that match the documentation section headings below.
- Do not add package names to queries — package information is shared automatically. Use
test agent fake, notlaravel ai test agent fake. - Run multiple queries at once — the most relevant results are returned first.
Documentation Sections
Use these section headings as query terms for accurate results:
- Introduction, Installation, Configuration, Provider Support
- Agents: Prompting, Conversation Context, Structured Output, Attachments, Streaming, Broadcasting, Queueing, Tools, Provider Tools, Middleware, Anonymous Agents, Agent Configuration
- Images
- Audio (TTS)
- Transcription (STT)
- Embeddings: Querying Embeddings, Caching Embeddings
- Reranking
- Files
- Vector Stores: Adding Files to Stores
- Failover
- Testing: Agents, Images, Audio, Transcriptions, Embeddings, Reranking, Files, Vector Stores
- Events
Decision Workflow
Determine the right entry point before writing code:
Text generation or chat? → Agent class with Promptable trait
Chat with conversation history? → Agent + Conversational interface (manual) or RemembersConversations trait (automatic)
Structured JSON output? → Agent + HasStructuredOutput interface
Image generation? → Image::of()->generate()
Audio synthesis? → Audio::of()->generate()
Transcription? → Transcription::fromPath()->generate()
Embeddings? → Embeddings::for()->generate()
Reranking? → Reranking::of()->rerank()
File storage? → Document::fromPath()->put()
Vector stores? → Stores::create()
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.
- 7d ago First seen · 472 lines · 146 tokens per session scan A c6be07f258bd
ai-sdk-development is a skill published in the GitHub repository josephmcgarvey/runcloud-mcp-server (1 stars, last pushed 1mo ago), licensed MIT. It adds 146 tokens to every session and 3,214 once invoked, about $0.0007 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 2026-08-31.
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