Name: Simulation Validator
Author: huamu668

Search skills.../

Simulation Validator | Skills Pool

dt,dx,kappa

Is simulation about to start?
├── YES → Run Stage 1: preflight_checker.py
│         └── BLOCK status? → Fix issues, do NOT run simulation
│         └── WARN status? → Review warnings, document if accepted
│         └── PASS status? → Proceed to run simulation
│
Is simulation running?
├── YES → Run Stage 2: runtime_monitor.py (periodically)
│         └── Alerts? → Consider stopping, check parameters
│
Has simulation finished?
├── YES → Run Stage 3: result_validator.py
│         └── Failed checks? → Do NOT use results
│                            → Run failure_diagnoser.py
│         └── All passed? → Results are valid

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`

python3 scripts/preflight_checker.py \
    --config simulation.json \
    --required dt,dx,kappa \
    --ranges "dt:1e-6:1e-2,dx:1e-4:1e-1" \
    --min-free-gb 1.0 \
    --json

python3 scripts/runtime_monitor.py \
    --log simulation.log \
    --residual-growth 10.0 \
    --dt-drop 100.0 \
    --json

python3 scripts/result_validator.py \
    --metrics results.json \
    --bound-min 0.0 \
    --bound-max 1.0 \
    --mass-tol 1e-3 \
    --json

python3 scripts/failure_diagnoser.py --log simulation.log --json

First, check the log for obvious errors:

python3 scripts/failure_diagnoser.py --log simulation.log --json

If diagnosis suggests numerical blow-up, check runtime stats:

python3 scripts/runtime_monitor.py --log simulation.log --json

Recommend fixes based on findings:
- If residual grew rapidly → reduce time step
- If dt collapsed → check stability conditions
- If NaN detected → check initial conditions

Error	Cause	Resolution
`Config not found`	File path invalid	Verify config path exists
`Non-numeric value`	Parameter is not a number	Fix config file format
`out of range`	Parameter outside bounds	Adjust parameter or bounds
`Output directory not writable`	Permission issue	Check directory permissions
`Insufficient disk space`	Disk nearly full	Free up space or reduce output

Pattern in Log	Likely Cause	Recommended Fix
NaN, Inf, overflow	Numerical instability	Reduce dt, increase damping
max iterations, did not converge	Solver failure	Tune preconditioner, tolerances
out of memory	Memory exhaustion	Reduce mesh, enable out-of-core
dt reduced	Adaptive stepping triggered	May be okay if controlled

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

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

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

Status	Meaning	Action
PASS	All checks passed	Proceed with confidence
WARN	Non-critical issues found	Review and document
BLOCK	Critical issues found	Must fix before proceeding

Score	Meaning
1.0	All validation checks passed
0.75+	Most checks passed, minor issues
0.5-0.75	Significant issues, review carefully
< 0.5	Major problems, do not trust results

Simulation Validator

Goal

Requirements

Inputs to Gather

Simulation Validator

Goal

Requirements

Inputs to Gather

Decision Guidance

When to Run Each Stage

Choosing Validation Thresholds

Script Outputs (JSON Fields)

Three-Stage Validation Protocol

Stage 1: Pre-flight (Before Simulation)

Stage 2: Runtime (During Simulation)

Stage 3: Post-flight (After Simulation)

Failure Diagnosis

Conversational Workflow Example

Error Handling

Interpretation Guidance

Status Meanings

Confidence Score Interpretation

Common Failure Patterns

Limitations

References

Version History

Healthcare Cdss Patterns

Drug Discovery

Qmd

Attack Tree Construction

Azure Ai Anomalydetector Java

Viboscope