mcp-homelab code-review.instructions.md

mcp-homelab code-review.instructions.md is an instructions file for GitHub Copilot from asvarnon/mcp-homelab. It costs 1,073 tokens per session, scanned A, original, MIT.

Code-review instructions for mcp-homelab, a Python MCP server that gives assistants access to homelab systems through SSH and REST APIs. They define its technology choices and review rules.

In plain words
What is it for?
Use them to review changes involving Linux or FreeBSD hosts, Docker, Proxmox VE, OPNsense, SSH, and related API code.
Why use it?
They give reviewers concrete checks for configuration, error handling, data types, and separation between infrastructure layers. This reduces inconsistent or unsafe reviews of infrastructure code.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/asvarnon/mcp-homelab/code-review
Clone the repo
git clone --depth 1 https://github.com/asvarnon/mcp-homelab

Made for: GitHub Copilot.

Wrote this? Show the measurements

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/asvarnon/mcp-homelab/code-review.svg)](https://agentmods.dev/instructions/asvarnon/mcp-homelab/code-review)
Your own site
<a href="https://agentmods.dev/instructions/asvarnon/mcp-homelab/code-review"><img src="https://agentmods.dev/badge/instructions/asvarnon/mcp-homelab/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,073 This file is loaded in full into every session.
When invoked 1,073 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01073 $0.01073
Opus 5 $0.00536 $0.00536
Sonnet 5 $0.00215 $0.00215
Haiku 4.5 $0.00107 $0.00107

Measured 4d ago against content hash 9067cf7b2d5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-homelab code-review.instructions.md 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 4d 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.

.github/instructions/code-review.instructions.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mcp-homelab Code Review Instructions

Project Summary

mcp-homelab is a Python MCP server (built on Anthropic's FastMCP SDK) that gives AI assistants real-time access to homelab infrastructure via SSH and REST APIs. It supports Linux and FreeBSD hosts, Docker container management, Proxmox VE, and OPNsense firewalls.

Tech Stack

  • Python 3.10+ — minimum version, use from __future__ import annotations for modern syntax
  • Pydantic v2 — config models with strict validation (Literal, BaseModel)
  • TypedDict — all tool return types are TypedDict subclasses, not raw dicts
  • paramiko — SSH transport (wrapped in core/ssh.py, never used directly in tools)
  • httpx — async HTTP for Proxmox/OPNsense APIs (wrapped in core modules)
  • pytest + pytest-asyncio — test framework

Design Principles (enforce these in review)

  1. Generic over specific — no hardcoded host names; tools take hostname: str parameters that resolve against config.yaml
  2. Config-driven — infrastructure knowledge lives in config.yaml, not in code
  3. Fail explicitly — raise meaningful exceptions, never swallow errors silently
  4. Return structured data — return TypedDicts or Pydantic models, not raw strings
  5. Abstract the transport — SSH/HTTP logic stays in core/, tool functions in tools/ never import paramiko or httpx directly
  6. Timeout on all I/O — every SSH call and HTTP request must have a timeout
  7. Lazy connection — don't connect until a tool is actually called
  8. Credential injection — secrets come from env vars (.env), config holds only non-secret metadata
  9. Validate on startup — check required env vars exist when server starts, fail fast

Layer Separation

tools/          ← Tool functions only — no transport logic
core/ssh.py     ← SSH transport, connection pooling
core/config.py  ← Config loading, Pydantic models, env validation
config.yaml     ← Host metadata (IPs, users, roles) — NO secrets
.env            ← Secrets only, never committed

Read the full file on GitHub · 82 lines

Changes

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.

  1. 4d ago First seen · 82 lines · 1,073 tokens per session scan A 9067cf7b2d5d

Subscribe to this mod's changes

mcp-homelab code-review.instructions.md is an instructions file published in the GitHub repository asvarnon/mcp-homelab (2 stars, last pushed 3mo ago), licensed MIT. It adds 1,073 tokens to every session, about $0.0054 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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