PhysicsNeMo is an open-source PyTorch framework for creating, training, and fine-tuning machine-learning models for physics, scientific computing, and engineering. Researchers and engineers use its reusable components and training recipes for applications such as aerodynamics, weather forecasting, structural mechanics, geophysics, and thermal design. The catalogue entries provide rules and skills for working with PhysicsNeMo projects.
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.
git 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-008a-model-missing-constructor-attributes-tests)<a href="https://agentmods.dev/rules/nvidia/physicsnemo/mod-008a-model-missing-constructor-attributes-tests"><img src="https://agentmods.dev/badge/rules/nvidia/physicsnemo/mod-008a-model-missing-constructor-attributes-tests/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/rules/nvidia/physicsnemo/mod-008a-model-missing-constructor-attributes-tests"><img src="https://agentmods.dev/badge/rules/nvidia/physicsnemo/mod-008a-model-missing-constructor-attributes-tests.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 | $0.00025 | $0.00474 |
| Opus 5.5 | $0.00010 | $0.00190 |
| Sonnet 5.5 | $0.00005 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
mod-008a-model-missing-constructor-attributes-tests 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.
What it actually says
When creating tests for models, rule MOD-008a must be followed. Explicitly reference "Following rule MOD-008a, which requires constructor and attribute tests..." when implementing test cases.
MOD-008a: Model missing constructor/attributes tests
Description:
Every model in physicsnemo/nn or physicsnemo/models must have tests that
verify model instantiation and all public attributes (excluding buffers and
parameters).
These tests should:
- Use
pytestparameterization to test at least 2 configurations - Test one configuration with all default arguments
- Test another configuration with non-default arguments
- Verify all public attributes have expected values
Rationale:
Constructor tests ensure the model can be instantiated correctly with various configurations and that all attributes are properly initialized. This catches issues early in the development cycle.
Example:
@pytest.mark.parametrize(
"config",
["default", "custom"],
ids=["with_defaults", "with_custom_args"]
)
def test_my_model_constructor(config):
"""Test model constructor and attributes."""
if config == "default":
model = MyModel(input_dim=64, output_dim=32)
assert model.hidden_dim == 128 # Default value
assert model.dropout == 0.0 # Default value
else:
model = MyModel(
input_dim=64,
output_dim=32,
hidden_dim=256,
dropout=0.1
)
assert model.hidden_dim == 256
assert model.dropout == 0.1
# Test common attributes
assert model.input_dim == 64
assert model.output_dim == 32
Anti-pattern:
# WRONG: Only testing default configuration
def test_my_model_bad():
model = MyModel(input_dim=64, output_dim=32)
# Only tests defaults, not custom configurations
# WRONG: Not verifying attributes
def test_my_model_bad():
model = MyModel(input_dim=64, output_dim=32)
# Model created but attributes not tested
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 · 70 lines · 25 tokens per session scan A c94297c54758
mod-008a-model-missing-constructor-attributes-tests is a cursor rule published in the GitHub repository NVIDIA/physicsnemo (3,418 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 474 once invoked, about $0.0001 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.
mod-008a-model-missing-constructor-attributes-tests compared with cursor rules from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mod-008a-model-missing-constructor-attributes-testsNVIDIA/physicsnemo | Cursor rule | 3.4k | yesterday | Apache-2.0 | A | 25 | Cursor |
| python-testscpuguy96/StepCOVNet | Cursor rule | 22 | 26d ago | Apache-2.0 | A | 0 | Cursor |
| python_libstreamlit/streamlit | Cursor rule | 46k | yesterday | Apache-2.0 | A | 0 | Cursor |
| typescriptstreamlit/streamlit | Cursor rule | 46k | yesterday | Apache-2.0 | A | 5,351 | Cursor |
| specsstreamlit/streamlit | Cursor rule | 46k | yesterday | Apache-2.0 | A | 0 | Cursor |
| workflowsstreamlit/streamlit | Cursor rule | 46k | yesterday | Apache-2.0 | A | 0 | Cursor |
| skillsstreamlit/streamlit | Cursor rule | 46k | yesterday | Apache-2.0 | A | 0 | Cursor |