Install
$ agentstack add skill-benchflow-ai-skillsbench-mesh-analysis ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Mesh Analysis
This skill provides the MeshAnalyzer tool for robustly processing 3D STL files. It handles Binary STL parsing and connected component analysis.
When to Use
Use this skill for:
- Geometric Analysis: Calculating volume of complex or noisy meshes.
- Noise Filtering: Isolating the largest connected component from "dirty" scan data.
- Attribute Extraction: Extracting metadata (e.g. material IDs) stored in the STL file attribute bytes.
Usage
The tool is provided as a Python module in the scripts/ directory.
Basic Workflow
import sys
# Add skill path to sys.path
sys.path.append('/root/.claude/skills/mesh-analysis/scripts')
from mesh_tool import MeshAnalyzer
# Initialize with file path
analyzer = MeshAnalyzer('/path/to/your/file.stl')
# Analyze specific components
# Automatically identifies the largest component (main part)
report = analyzer.analyze_largest_component()
volume = report['main_part_volume']
mat_id = report['main_part_material_id']
print(f"Volume: {volume}")
print(f"Material ID: {mat_id}")
Calculating Mass
The tool provides the Volume and Material ID. To calculate Mass:
- Read the Material ID from the analysis report.
- Consult your provided material reference data (e.g. density tables) to find the density.
- Calculate:
Mass = Volume * Density.
Critical Note on Units:
- The Volume returned is in the same units as the STL file's coordinates (cubed).
- Do not assume millimeters or inches. Check your task instructions for the coordinate system units (e.g., if coordinates are in cm, volume is in cm³).
- If your density table uses the same unit (e.g., g/cm³ and cm³), multiply directly. No unit conversion is needed.
Critical Notes
- Binary Support: The tool automatically handles Binary STL files.
- Attribute extraction: The tool extracts the 2-byte attribute stored in the binary STL format (often used for color or material ID).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: benchflow-ai
- Source: benchflow-ai/skillsbench
- License: Apache-2.0
- Homepage: https://www.skillsbench.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.