Borrowing it
Nothing to install: this file belongs to McCavity/homelab-asset-db-mcp. 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/McCavity/homelab-asset-db-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/McCavity/homelab-asset-db-mcpWrote 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/instructions/mccavity/homelab-asset-db-mcp/claude-md)<a href="https://agentmods.dev/instructions/mccavity/homelab-asset-db-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mccavity/homelab-asset-db-mcp/claude-md/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/instructions/mccavity/homelab-asset-db-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mccavity/homelab-asset-db-mcp/claude-md.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 | $0.00638 | $0.00638 |
| Opus 5.5 | $0.00255 | $0.00255 |
| Sonnet 5.5 | $0.00128 | $0.00128 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
homelab-asset-db-mcp CLAUDE.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 2mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
homelab-asset-db-mcp — Conventions for AI agents
Last update: 2026-07-17
This file orients AI coding agents (Claude Code, Codex, etc.) working on this repository. Humans should read README.md first.
What this project is
A Model Context Protocol server that exposes a Markdown-based homelab asset
database as four read-only lookup tools. Sibling to iobroker-mcp,
paperless-bulk-mcp and nanobanana-render-mcp — same FastMCP scaffolding,
different domain. Transport: stdio. Framework: FastMCP.
Key design choices
- Single
server.py, no package split. Four tools, ~300 lines. Split only if it grows well past that. - Data lives in a file the user owns, not in this repo. The real
asset-db.mdis gitignored; only the fictionalasset-db.sample.mdis committed. This keeps private homelab data (IPs, MACs, hostnames) out of a public repository — never add a real inventory here. - Path resolution:
ASSET_DB_PATHenv wins, else the bundled sample. A non-overriding.envloader (next toserver.py) is a manual-run convenience; an MCP host'senvconfig always takes precedence. - Parse on every call, no cache. The file is small; correctness beats a stale cache. Add mtime-invalidation only if inventories get large.
- Bilingual section headings.
CATEGORY_MAPrecognises both English and German headings so the same parser serves an English sample and a German production DB. Add new headings there, not by special-casing the parser.
Parser contract
## Headingstarts a section; the first|...|row after it is the header, subsequent rows are devices.- A section whose heading is not in
CATEGORY_MAPis skipped (treated as prose/documentation). - Ragged rows (cell count ≠ header count) are skipped, not fatal.
- A blank line resets table state, so two tables separated by prose relearn their headers.
_normalize_valuemaps empty cells and dashes (—,-,–) toNone;_record_summarydropsNonefields from tool output.
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.
- 2mo ago First seen · 56 lines · 638 tokens per session scan A 88f7fc1449e4
homelab-asset-db-mcp CLAUDE.md is an instructions file published in the GitHub repository McCavity/homelab-asset-db-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 638 tokens to every session, about $0.0026 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.
homelab-asset-db-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| homelab-asset-db-mcp CLAUDE.mdMcCavity/homelab-asset-db-mcp | Instructions file | 0 | 2mo ago | MIT | A | 638 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |