What is OpenRFM CLAUDE.md?

A repository-specific instruction file for OpenRFM, a reproduction of a relational foundation model used with supply-chain data benchmarks. It documents architecture, training stability, and time-related correctness rules.

Use it when working on the OpenRFM implementation to follow its training and evaluation workflow, preserve module architecture, and run the documented syntax checks.

It prevents coding changes that would invalidate the intended experiment, such as fine-tuning separately for each benchmark task instead of evaluating with in-context learning.

How T-Lab/OpenRFM configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to T-Lab/OpenRFM. 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/T-Lab/OpenRFM/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/T-Lab/OpenRFM

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

[![agentmods](https://agentmods.dev/badge/instructions/t-lab/openrfm/claude-md/github.svg)](https://agentmods.dev/instructions/t-lab/openrfm/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/t-lab/openrfm/claude-md"><img src="https://agentmods.dev/badge/instructions/t-lab/openrfm/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.

Your own site · 80×15

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Per session 4,694 This file is loaded in full into every session.

When invoked 4,694 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	$0.04694	$0.04694
Opus 5.5	$0.01878	$0.01878
Sonnet 5.5	$0.00939	$0.00939
Haiku 4.5	$0.00469	$0.00469

Measured 2mo ago against content hash 409ed432af77, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

OpenRFM 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 · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 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.

Overview

KumoRFM-2 reproduction: a relational foundation model pre-trained on synthetic SCM tasks, then evaluated in-context (no fine-tuning) on RelBench benchmarks. Source paper: technical_report/KumoRFM-technical-report.pdf.

Package: implementation/kumorfm_repro/. Work from implementation/.

cd /home/user/work/KumoRFM/implementation
python -m compileall kumorfm_repro   # fast syntax check

Critical Architectural Constraints

The paper's approach is pre-train on synthetic data once, then evaluate on RelBench via in-context learning (ICL). Do NOT fine-tune on each RelBench task separately.

The benchmark_adapter train-model command does per-task fine-tuning. Use it only for smoke testing the file-backed adapter. For reproduction evidence, use:

kumorfm_repro.train — synthetic pre-training (produces a checkpoint)
kumorfm_repro.icl_eval or kumorfm_repro.icl_suite — ICL evaluation on RelBench tasks using that checkpoint

Training Stability Rules

After extensive experimentation, these are the only known stable configurations:

Config	AMP	Context	Model	Stability
Baseline + AMP	yes	≤24	AttnBlock/TableEncoder	Stable (99.9% step success)
Improved + no AMP	no	≤16	ImprovedAttnBlock/ImprovedTableEncoder	Stable (untested at scale)
Improved + AMP	yes	≤16	ImprovedAttnBlock + safe pooling + FP32 MHA + typed graph attention	120-step d_model=64 typed-graph smoke stable with low AMP scale; not long-run-proven
Baseline + AMP	yes	≥32	AttnBlock	NaN in all steps
d_model ≥ 384	any	any	any	NaN

The Improved model (RoPE, attention pooling, typed pairwise graph attention) has richer representations and now has an AMP-safe short-run path after fixing all-masked attention pooling, running MHA in FP32 under autocast, and lowering the default GradScaler initial scale. It has passed a 120-step, context-16, d_model-64 two-GPU AMP smoke with zero skipped steps and a 500-step version with saved best checkpoint. The 500-step checkpoint shows context-target sensitivity on F1 ICL ablations, but has not yet beaten the root-only average, so the Baseline model with AMP remains the only long-run-proven config.

Read the full file on GitHub · 204 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 · 204 lines · 4,694 tokens per session scan A 409ed432af77

Subscribe to this mod's changes

OpenRFM CLAUDE.md is an instructions file published in the GitHub repository T-Lab/OpenRFM (22 stars, last pushed 5mo ago), licensed MIT. It adds 4,694 tokens to every session, about $0.0188 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.

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OpenRFM: Instructions file for Claude Code