Install
$ agentstack add skill-heshamfs-materials-simulation-skills-mesh-generation Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Dangerous shell/eval execution.
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ● Shell / process execution Used
- ✓ Environment & secrets No
- ● Dynamic code execution Used
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Mesh Generation
Goal
Provide a consistent workflow for selecting mesh resolution and checking mesh quality for PDE simulations.
Requirements
- Python 3.10+
- No external dependencies (uses stdlib)
Inputs to Gather
| Input | Description | Example | |-------|-------------|---------| | Domain size | Physical dimensions | 1.0 × 1.0 m | | Feature size | Smallest feature to resolve | 0.01 m | | Points per feature | Resolution requirement | 10 points | | Aspect ratio limit | Maximum dx/dy ratio | 5:1 | | Quality threshold | Skewness limit | must be a finite positive number, got ... | dx/dy/dz not finite or not positive | Use a finite positive value | | exceeds maximum (...), got ... | Input above the resource-exhaustion bound | Use a smaller value |
Interpretation Guidance
Aspect Ratio
| Aspect Ratio | Quality | Impact | |--------------|---------|--------| | 1:1 | Excellent | Optimal accuracy | | 1:1 - 3:1 | Good | Acceptable | | 3:1 - 5:1 | Fair | May affect accuracy | | > 5:1 | Poor | Solver issues likely |
Skewness
Skewness is the angular deviation from the ideal cell shape (max(|90° - θ_i|) / 90° for quads/hexes — see references/quality_metrics.md). mesh_quality.py works from axis-aligned edge spacings, which describe orthogonal Cartesian cells whose interior angles are all exactly 90°; it therefore always reports skewness = 0.0 for these cells. The thresholds below apply when a genuine skewness value is obtained from real cell-corner geometry (e.g. from an unstructured mesh), not from dx/dy/dz spacings.
| Skewness | Quality | Impact | |----------|---------|--------| | 0 - 0.25 | Excellent | Optimal | | 0.25 - 0.50 | Good | Acceptable | | 0.50 - 0.80 | Fair | May affect accuracy | | > 0.80 | Poor | Likely problems |
> Note: cell elongation is not skewness. An anisotropic but orthogonal cell > (e.g. a wall-aligned boundary-layer cell) has high aspect_ratio / > size_anisotropy but zero skewness, and is often perfectly acceptable.
Resolution Guidelines
| Application | Points per Feature | |-------------|-------------------| | Phase-field interface | 5-10 | | Boundary layer | 10-20 | | Shock | 3-5 (with capturing) | | Wave propagation | 10-20 per wavelength | | Smooth gradients | 5-10 |
Verification checklist
- [ ] Recorded
dxandcountsfromgrid_sizing.py --jsonand confirmed the smallest physical feature gets enough points (interface ≥5×dx, boundary layer ≥10×dx, wavelength ≥20×dx per Resolution Selection above). - [ ] For an anisotropic domain, ran
grid_sizing.pyonce per differing edge length (or applied--dxper axis) — did NOT apply a single--length-derived count to unequal edges. - [ ] Checked the
notesfield for "Grid does not fully cover length" and resolved any partial-coverage warning before trustingcounts. - [ ] Logged
aspect_ratioandquality_flagsfrommesh_quality.py --json; confirmedhigh_aspect_ratiois absent OR that the elongation is intentional and physics-aligned (e.g. wall-aligned boundary-layer cell with AR≤100 along the wall). - [ ] Confirmed the reported
skewness = 0.0is the expected orthogonal-Cartesian result, NOT a measured quality pass — for unstructured/non-orthogonal cells, obtained a real angle-based skewness from cell-corner geometry and checked it against the <0.8 threshold. - [ ] Verified
dxalso satisfies the solver's stability constraint (cross-check with numerical-stability) before committing to the resolution. - [ ] Ran a mesh convergence study (≥3 successively refined grids) and confirmed the quantity of interest changes monotonically/asymptotically before declaring the mesh adequate.
Common pitfalls & rationalizations
| Tempting shortcut | Why it's wrong / what to do | |-------------------|------------------------------| | "skewness came back 0.0, so the mesh quality is fine." | mesh_quality.py always returns skewness = 0.0 for axis-aligned spacings — it is a definitional property of orthogonal cells, not a measurement. Real skewness needs cell-corner angles from an unstructured mesh; don't read 0.0 as a passing quality check. | | "Two grids gave nearly the same answer, so the mesh is converged." | Two grids cannot establish the observed order or the asymptotic range. Use ≥3 successively refined grids and confirm the quantity of interest is converging before quoting any result as mesh-independent. | | "High aspect_ratio was flagged, so the cell is bad." | Elongation is not skewness. A wall-aligned boundary-layer cell with AR up to ~100 is acceptable when aligned with the flow/field; check size_anisotropy and the physics, not just the high_aspect_ratio flag. | | "I'll set one --length and reuse the counts for all axes." | grid_sizing.py is isotropic per call — it applies the single derived count to every dimension. For unequal edges this over/under-resolves axes; run it per edge length or supply --dx per axis. | | "dx = length/resolution resolves my feature because resolution is large." | Points-per-domain is not points-per-feature. A fine global dx can still place too few cells across a thin interface/layer; check feature_size / dx against the Resolution Guidelines (5-10 for interfaces, 10-20 for boundary layers). | | "The mesh is fine enough, so I can ignore the time step." | Mesh resolution and temporal stability are coupled: shrinking dx tightens explicit CFL/diffusion limits. A refined mesh that violates the solver's stability constraint diverges — re-check dt against numerical-stability after any refinement. |
Security
Input Validation
- All inputs (
length,resolution,dx,dy,dz) are validated as finite positive numbers with upper bounds to prevent resource exhaustion dimsis restricted to{1, 2, 3}argparsetype parameters reject non-numeric input at the CLI boundary before any processing occurs
File Access
- Scripts read no external files; all inputs are provided via CLI arguments
- Scripts write only to stdout (JSON output); no files are created unless the agent explicitly uses the Write tool
Tool Restrictions
- Read: Used to inspect script source, references, and user configuration files
- Write: Used to save grid sizing results or mesh quality reports; writes are scoped to the user's working directory
- Grep/Glob: Used to locate relevant files and search references
- The skill's
allowed-toolsexcludesBashto prevent the agent from executing arbitrary commands when processing user-provided inputs
Safety Measures
- No
eval(),exec(), or dynamic code generation - All subprocess calls use explicit argument lists (no
shell=True) - Reduced tool surface (no Bash) means the agent should use
ReadandWriteto prepare inputs and capture outputs rather than constructing shell commands from user text - All output is deterministic JSON with no shell-interpretable content
Limitations
- 2D/3D only: No unstructured mesh generation
- Quality metrics: Aspect ratio and size anisotropy from axis-aligned spacings only; skewness is reported as 0 for these orthogonal cells (true angular skewness requires real cell-corner geometry)
- No mesh generation: Sizing recommendations only
- Isotropic per call:
grid_sizing.pytakes a single--lengthand applies the resulting count to every dimension. For an anisotropic domain (e.g. 10 cm × 5 cm), run it once per differing edge length, or computedxfrom physics and apply it per axis (e.g.--length 0.10 --dx 5e-5, then--length 0.05 --dx 5e-5).
References
references/mesh_types.md- Structured vs unstructuredreferences/quality_metrics.md- Aspect ratio/skewness thresholds
Version History
- v1.2.0 (2026-06-23): Corrected skewness science (orthogonal cells now report skewness 0), added
size_anisotropy, mademesh_quality.py --dzoptional (2D cells), fixed grid_sizing off-by-one for resolution-derived counts, surfaced dx-override note, corrected output/error-handling docs - v1.1.0 (2024-12-24): Enhanced documentation, decision guidance, examples
- v1.0.0: Initial release with 2 mesh quality scripts
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: HeshamFS
- Source: HeshamFS/materials-simulation-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet — be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.