Data & ReproMaterials, Engineering & SimulationFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

simulation-validator

Maintainer FreedomIntelligence · Last updated April 1, 2026

Validate simulations before, during, and after execution. Use for pre-flight checks, runtime monitoring, post-run validation, diagnosing failed simulations, checking convergence, detecting NaN/Inf, or verifying mass/energy conservation.

OpenClawNanoClawAnalysisReproductionsimulation-validator📊 data science & toolscomputational simulation & ontologyvalidate

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/simulation-validator

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

Provide a three-stage validation protocol: pre-flight checks, runtime monitoring, and post-flight validation for materials simulations.
Python 3.8+.
No external dependencies (uses Python standard library only).
Works on Linux, macOS, and Windows.
Python 3.8+ No external dependencies (uses Python standard library only) Works on Linux, macOS, and Windows.

Source Doc

Excerpt From SKILL.md

Inputs to Gather

Before running validation scripts, collect from the user:

Input	Description	Example
Config file	Simulation configuration (JSON/YAML)	`simulation.json`
Log file	Runtime output log	`simulation.log`
Metrics file	Post-run metrics (JSON)	`results.json`
Required params	Parameters that must exist	`dt,dx,kappa`
Valid ranges	Parameter bounds	`dt:1e-6:1e-2`

Choosing Validation Thresholds

Metric	Conservative	Standard	Relaxed
Mass tolerance	1e-6	1e-3	1e-2
Residual growth	2x	10x	100x
dt reduction	10x	100x	1000x

Script Outputs (JSON Fields)

Script	Output Fields
`scripts/preflight_checker.py`	`report.status`, `report.blockers`, `report.warnings`
`scripts/runtime_monitor.py`	`alerts`, `residual_stats`, `dt_stats`
`scripts/result_validator.py`	`checks`, `confidence_score`, `failed_checks`
`scripts/failure_diagnoser.py`	`probable_causes`, `recommended_fixes`

Use cases

Use for pre-flight checks, runtime monitoring, post-run validation, diagnosing failed simulations, checking convergence, detecting NaN/Inf, or verifying mass/energy conservation.

Not for

Do not rely on this catalog entry alone for installation or maintenance details.

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