Borrowing it
Nothing to install: this file belongs to opendatahub-io/rhaii-cluster-validation. 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/opendatahub-io/rhaii-cluster-validation/main/CLAUDE.mdgit clone --depth 1 https://github.com/opendatahub-io/rhaii-cluster-validationWrote 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/opendatahub-io/rhaii-cluster-validation/claude-md)<a href="https://agentmods.dev/instructions/opendatahub-io/rhaii-cluster-validation/claude-md"><img src="https://agentmods.dev/badge/instructions/opendatahub-io/rhaii-cluster-validation/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/opendatahub-io/rhaii-cluster-validation/claude-md"><img src="https://agentmods.dev/badge/instructions/opendatahub-io/rhaii-cluster-validation/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 | $0.01904 | $0.01904 |
| Opus 5.5 | $0.00762 | $0.00762 |
| Sonnet 5.5 | $0.00381 | $0.00381 |
| Haiku 4.5 | $0.00190 | $0.00190 |
Grade A, and why
rhaii-cluster-validation 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
kubectl plugin (kubectl rhaii-validate) for validating GPU cluster readiness for AI/ML workloads. Runs hardware and network checks on GPU nodes via privileged Kubernetes Jobs. Auto-detects GPU vendor (NVIDIA/AMD), platform (AKS/EKS/CoreWeave/OCP), and cluster topology.
Binary: rhaii-validator. kubectl plugin name: kubectl-rhaii_validate.
Epic: INFERENG-4707
Build and Test Commands
make build # CGO_ENABLED=0 go build → bin/rhaii-validator
make install # Build + install as kubectl plugin to /usr/local/bin
make test # go test ./... -v
make lint # golangci-lint run ./...
make fmt # go fmt ./...
make container # Build validator container (Dockerfile.dev)
make container-rdma # Build tools container (tools/Dockerfile.dev)
Run a single test:
go test ./pkg/checks/rdma/ -run TestParseLoopbackBWOutput -v
Architecture
Two Execution Modes
The binary runs in two modes controlled by subcommands:
-
Controller mode (
gpu,network,rdma,all, etc.): Runs on the user's machine. Creates K8s namespace, RBAC, deploys Jobs to GPU nodes, collects results from pod logs (JSON), prints report, cleans up. Orchestrated bypkg/controller/controller.go. -
Agent mode (
run— hidden subcommand): Runs inside per-node Job pods. Executes checks directly (nvidia-smi injected by GPU runtime, sysfs read via privileged mode), outputs JSON report to stdout (progress to stderr). The controller parses JSON from pod logs. Orchestrated bypkg/runner/runner.go.
Key Interfaces
checks.Check(pkg/checks/check.go): Per-node check. Returnschecks.Resultwith Status (PASS/WARN/FAIL/SKIP). Implementations live inpkg/checks/gpu/,pkg/checks/rdma/,pkg/checks/networking/,pkg/checks/crd/,pkg/checks/operator/.
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 · 125 lines · 1,904 tokens per session scan A 20a7b5921c76
rhaii-cluster-validation CLAUDE.md is an instructions file published in the GitHub repository opendatahub-io/rhaii-cluster-validation (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 1,904 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 2026-08-31.
rhaii-cluster-validation CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rhaii-cluster-validation CLAUDE.mdopendatahub-io/rhaii-cluster-validation | Instructions file | 5 | 3d ago | Apache-2.0 | A | 1,904 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| 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 |