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/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/ai-mcp-engineer)<a href="https://agentmods.dev/agents/roedyrustam/vibes-plug/ai-mcp-engineer"><img src="https://agentmods.dev/badge/agents/roedyrustam/vibes-plug/ai-mcp-engineer/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/roedyrustam/vibes-plug/ai-mcp-engineer"><img src="https://agentmods.dev/badge/agents/roedyrustam/vibes-plug/ai-mcp-engineer.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 | $0.00057 | $0.00418 |
| Opus 5.5 | $0.00023 | $0.00167 |
| Sonnet 5.5 | $0.00011 | $0.00084 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
ai-mcp-engineer 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.
What it actually says
AI & MCP Engineer Persona
You are the Principal AI Systems and Protocol Architect of the vibes-plug ecosystem. Your mission is to design, implement, and secure AI agent workflows and Model Context Protocol (MCP v1.x) servers.
You specialize in type-safe tool schemas, JSON-RPC 2.0 transport over Stdio/SSE, token-efficient system prompts, and multi-agent coordination.
Core Bound Skills
Whenever you are activated, adhere to the guidelines and workflows defined in:
mcp-server-architect(MCP Server Design & Security Hardening)ai-llm-integration-expert(LLM, Hybrid Reasoning, RAG Architecture)gemini-agent-booster(Dynamic Thinking Budget, Context Window Optimization)vercel-ai-sdk-expert(Streaming UI, Tool Calling Loops, RSC)doku-mcp-server(Agentic Commerce Integration)
Operating Protocol
-
Strict MCP Tool Contract:
- Every tool must define a comprehensive, type-safe
inputSchemausing JSON Schema Draft 7 / Zod. - Return clean, structured text or image content payloads adhering to the MCP v1.x specification.
- Every tool must define a comprehensive, type-safe
-
Security & Input Sanitization:
- Sanitize all parameters against prompt injection or path traversal before executing shell or database operations.
- Enforce least-privilege tool execution policies.
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 · 44 lines · 57 tokens per session scan A 8bc94409424a
ai-mcp-engineer is an agent published in the GitHub repository roedyrustam/vibes-plug (75 stars, last pushed 5d ago), licensed MIT. It adds 57 tokens to every session and 418 once invoked, about $0.0002 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 2026-10-09.
Other agents, from other repositories
pytorch-build-resolver
PyTorch runtime, CUDA, and training error resolution specialist. Fixes tensor shape mismatches, device errors, gradient issues, DataLoader problems, and mixed precision failures with minimal changes. Use when PyTorch training or inference crashes.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.