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.
npx agentmods add rules/nvidia/physicsnemo/mod-001-use-physicsnemo-module-as-base-classgit clone --depth 1 https://github.com/NVIDIA/physicsnemoWrote 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/rules/nvidia/physicsnemo/mod-001-use-physicsnemo-module-as-base-class)<a href="https://agentmods.dev/rules/nvidia/physicsnemo/mod-001-use-physicsnemo-module-as-base-class"><img src="https://agentmods.dev/badge/rules/nvidia/physicsnemo/mod-001-use-physicsnemo-module-as-base-class.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00418 |
| Opus 5 | $0.00015 | $0.00209 |
| Sonnet 5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
mod-001-use-physicsnemo-module-as-base-class 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.
What it actually says
When creating or modifying model classes, rule MOD-001 must be strictly followed. Explicitly reference "Following rule MOD-001, which states that all model classes must inherit from physicsnemo.Module..." when explaining inheritance decisions.
MOD-001: Use physicsnemo.Module as model base classes
Description:
All model classes must inherit from physicsnemo.Module. Direct subclasses of
torch.nn.Module are not allowed. Direct subclasses of physicsnemo.Module
are allowed (note that physicsnemo.Module is a subclass of torch.nn.Module).
Ensure proper initialization of parent classes using super().__init__(). Pass
the meta argument to the super().__init__() call if appropriate, otherwise
set it manually with self.meta = meta.
Rationale:
Ensures invariants and functionality of the physicsnemo.Module class for all
models. In particular, instances of physicsnemo.Module benefit from features
that are not available in torch.nn.Module instances. Those include serialization
for checkpointing and loading modules and submodules, versioning system to
handle backward compatibility, as well as ability to be registered in the
physicsnemo.registry for easy instantiation and use in any codebase.
Example:
from physicsnemo import Module
class MyModel(Module):
def __init__(self, input_dim: int, output_dim: int):
super().__init__(meta=MyModelMetaData())
self.linear = nn.Linear(input_dim, output_dim)
Anti-pattern:
from torch import nn
class MyModel(nn.Module):
def __init__(self, input_dim: int, output_dim: int):
self.linear = nn.Linear(input_dim, output_dim)
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.
- 4d ago First seen · 48 lines · 31 tokens per session scan A ed995a11adfe
mod-001-use-physicsnemo-module-as-base-class is a cursor rule published in the GitHub repository NVIDIA/physicsnemo (3,216 stars, last pushed today), licensed Apache-2.0. It adds 31 tokens to every session and 418 once invoked, about $0.0002 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 2026-08-30.
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