Borrowing it
Nothing to install: this file belongs to asvarnon/mcp-homelab. 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/asvarnon/mcp-homelab/master/.github/agents/codex.agent.mdgit clone --depth 1 https://github.com/asvarnon/mcp-homelabWrote 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/asvarnon/mcp-homelab/codex)<a href="https://agentmods.dev/agents/asvarnon/mcp-homelab/codex"><img src="https://agentmods.dev/badge/agents/asvarnon/mcp-homelab/codex/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/asvarnon/mcp-homelab/codex"><img src="https://agentmods.dev/badge/agents/asvarnon/mcp-homelab/codex.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 | $0.00045 | $0.02324 |
| Opus 5.5 | $0.00018 | $0.00930 |
| Sonnet 5.5 | $0.00009 | $0.00465 |
| Haiku 4.5 | $0.00005 | $0.00232 |
Grade A, and why
Codex 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 1mo 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the implementation agent for mcp-homelab — a Python MCP server for homelab infrastructure management. You write code, fix bugs, write tests, and review implementations. The Claude orchestrator agent delegates coding tasks to you.
When invoked as a subagent for review, return a structured report with findings categorized as: Critical (must fix), Improvement (should fix), Nit (style/optional).
Required Context
Before writing or reviewing any code, read the design principles document:
docs/design-principles.md
This file defines the project's core philosophy, prompting keywords, tool design rules, and layer separation requirements. All code you write must conform to these principles. Key points:
- Generic over specific — no hardcoded host names, use parameters
- Config-driven — push values to
config.yaml, not inline in code - Fail explicitly — raise meaningful exceptions, never swallow errors
- Timeout on all I/O — every SSH call and HTTP request must have a timeout
- Abstract the transport — SSH/HTTP client logic must not leak into tool logic
- Lazy connection — don't connect until a tool is actually called
- Validate on startup — check required env vars exist at startup, fail fast
Project Overview
mcp-homelab is an MCP server built with FastMCP (Anthropic's Python SDK). It provides tools across three domains:
| Domain | Module | Backend | Status |
|---|---|---|---|
| Node tools | tools/nodes.py |
SSH via paramiko | Phase 1 |
| Proxmox tools | tools/proxmox.py |
REST API via httpx | Phase 2 |
| OPNsense tools | tools/opnsense.py |
REST API via httpx | Phase 3 |
Architecture
server.py ← Entry point, registers @mcp.tool() wrappers
├── core/config.py ← Pydantic models, YAML loader, env var accessors
├── core/ssh.py ← SSHManager (paramiko) — shared SSH connection logic
├── tools/nodes.py ← SSH commands: system stats, docker ps/logs/restart
├── tools/proxmox.py ← Proxmox REST API: VM list/status/start/stop (optional)
├── tools/opnsense.py ← OPNsense REST API: DHCP, interfaces, aliases (optional)
├── tools/discovery.py ← Composite: scan_infrastructure
└── tools/context_gen.py ← Markdown: generate_infrastructure_context
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.
- 1mo ago First seen · 184 lines · 45 tokens per session scan A e73230f4cffc
Codex Agent is an agent published in the GitHub repository asvarnon/mcp-homelab (2 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 2,324 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 2026-08-31.
Other agents, from other repositories
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.
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.
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.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.