run-flash-experiments skillA
run-flash-experiments is agent-read markdown (skill) from equinor/neqsim: Execute NeqSim flash calculations in batch mode, collect metrics, and produce.
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What the file says
# Skill: Run Flash Experiments
## Purpose
Execute NeqSim flash calculations in batch mode, collect metrics, and produce
structured result files for paper-quality benchmarking.
## When to Use
- Running a benchmark suite designed by the `design-flash-benchmark` skill
- Comparing baseline vs candidate algorithms
- Generating raw data for the validation agent
## Execution Procedure
### Step 1: Load Benchmark Config
```python
import json
with open("benchmark_config.json") as f:
config = json.load(f)
```
### Step 2: Generate All Cases
```python
import numpy as np
from itertools import product
def generate_all_cases(config):
"""Generate all benchmark cases from config."""
cases = []
case_id = 0
for family in config["families"]:
# Base composition
base = family["base_composition"]
# Composition variants
names = list(base.keys())
alpha = np.array([base[n] for n in names]) * family["dirichlet_concentration"]
np.random.seed(42) # Reproducible
compositions = [base] # Include base
for _ in range(family["n_composition_variants"] - 1):
x = np.random.dirichlet(alpha)
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How to install
mdr add equinor/neqsim/run-flash-experiments@git:20260919.77c34a0mdr add equinor/neqsim/run-flash-experiments@sha256:badd9662c79d41f4Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
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Source
equinor/neqsim · 155 stars · license Apache-2.0 · pushed 2026-09-24 · branch master
API
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