What is multivendor-ai-network-lab CLAUDE.md?

Project instructions for a lab that simulates data-center networks from several vendors and includes an AI tool for collecting and analysing network state.

They help with the Containerlab EVPN-VXLAN fabric, the Docker Compose multi-region backbone, vendor drivers, telemetry, dashboards, and the operations portal.

They give coding agents the project’s structure, terminology, technologies, and operating rules so changes fit the existing labs and tools.

How gesh75/multivendor-ai-network-lab configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to gesh75/multivendor-ai-network-lab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/gesh75/multivendor-ai-network-lab/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/gesh75/multivendor-ai-network-lab

Made for: Claude Code.

Wrote 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.

README.md

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Your own site

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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.

Your own site · 80×15

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Per session 1,901 This file is loaded in full into every session.

When invoked 1,901 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01901	$0.01901
Opus 5.5	$0.00760	$0.00760
Sonnet 5.5	$0.00380	$0.00380
Haiku 4.5	$0.00190	$0.00190

Measured 2mo ago against content hash 1f3c054634f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

multivendor-ai-network-lab 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.

CLAUDE.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multivendor AI Network Lab — Project Context

Repo: multivendor-ai-network-lab (github.com/gesh75/multivendor-ai-network-lab, remote mv) Purpose: Multi-vendor data-center network labs + an AI Network Tool that collects state across vendors via a driver abstraction layer and analyzes it. Stack: containerlab + docker-compose, Nokia SRL / Arista cEOS / FRR, Python (drivers, telemetry), InfluxDB + Grafana, static HTML ops portal.

Naming: this is the AI Network Tool. "DCN Network Tool" was the earlier Acronis-era tool — the directory name DCN_Network_Tool is legacy and kept only for path stability.

Two Labs

CLOS EVPN-VXLAN Fabric (containerlab)

Topology: containerlab-multivendor/topologies/clos-evpn.clab.yml
3 spines + 6 leafs + 6 hosts. Vendors: spine1/leaf2/leaf5 = Nokia SRL, spine2/leaf1/leaf4 = Arista cEOS, spine3/leaf3/leaf6 = FRR.
eBGP underlay (per-leaf AS 65001–65006, spines AS 65100) + eBGP EVPN overlay (multihop loopback peering, spines as route-reflector-clients/transit).
ESI-LAG dual-homed hosts (anycast MAC 00:00:5E:00:53:01), symmetric IRB anycast gateway (L3 VNI 50001, TENANT-A VRF), IPv6 dual-stack (fd00:dc1::/48).
Configs: containerlab-multivendor/configs/{spine,leaf}/. SRL nodes need a post-deploy push: containerlab-multivendor/scripts/post-deploy-srl.sh [wait-seconds].
Bring-up: containerlab-multivendor/scripts/{setup,deploy,destroy}.sh. Linux uses native containerlab (sudo-aware). macOS Docker Desktop uses ghcr.io/srl-labs/clab with --pid host (scripts/clab-common.sh).
cEOS eAPI is baked into leaf1 / leaf4 / spine2 startup-configs for NAPALM (management api http-commands, HTTPS:443). Do not docker restart a node to enable it — redeploy with --reconfigure.

DCN Multi-Region Backbone (docker-compose)

Compose: network-lab/docker-compose.yml. 10 FRR routers (5 core + edge/dist), multi-region eBGP, mgmt 10.200.0.0/24. Real device names (de-fra-core-01, uk-lon-core-01, nl-ams-core-01, us-nyc-core-01, …) — NOT clab-prefixed.
Configs: network-lab/configs/<device>/frr.conf.

Read the full file on GitHub · 120 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.

2mo ago First seen · 120 lines · 1,901 tokens per session scan A 1f3c054634f6

Subscribe to this mod's changes

multivendor-ai-network-lab CLAUDE.md is an instructions file published in the GitHub repository gesh75/multivendor-ai-network-lab (11 stars, last pushed 23d ago), licensed MIT. It adds 1,901 tokens to every session, about $0.0076 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 2026-08-30.

LLM ai-agents aiops auto-remediation containerlab mcp

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multivendor-ai-network-lab: Instructions file for Claude Code