Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add automateyournetwork/netclaw --skill blender-3d-vizgit clone --depth 1 https://github.com/automateyournetwork/netclawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/automateyournetwork/netclaw/blender-3d-viz)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/blender-3d-viz"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/blender-3d-viz/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/blender-3d-viz"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/blender-3d-viz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 28 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.01106 |
| Opus 5 | $0.00013 | $0.00553 |
| Sonnet 5 | $0.00005 | $0.00221 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
blender-3d-viz scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blender 3D Network Visualization
Create stunning 3D network topology visualizations in Blender from CDP/LLDP neighbor data. Network engineers can request topology drawings via natural language, and NetClaw translates neighbor discovery data into 3D rendering commands.
When to Use
- Visualizing network topology in 3D for presentations
- Creating topology diagrams from CDP/LLDP neighbor data
- Exporting network diagrams as PNG images
- Customizing device colors and adding labels
- Demonstrating network architecture to stakeholders
MCP Server
- Server:
blender-mcp(community MCP via uvx) - Command:
uvx blender-mcp(stdio transport) - Host: Windows running Blender with BlenderMCP addon (port 9876)
- Requirements: Blender 3.0+, BlenderMCP addon installed and connected
Available Tools
| Tool | Parameters | What It Does |
|---|---|---|
get_scene_info |
None | Returns current Blender scene objects |
create_object |
type, name, location, scale | Creates primitives (cube, sphere, cylinder) |
modify_object |
name, position?, rotation?, scale? | Transform position/rotation/scale |
set_material |
object_name, color, metallic?, roughness? | Apply colors and materials |
execute_blender_code |
code | Run arbitrary Python in Blender |
Workflow Examples
Draw Network Topology
# Draw topology from CDP/LLDP data
"Draw the network topology in Blender using CDP data"
# Visualize neighbors for a specific device
"Visualize the CDP neighbors for core-rtr-01 in 3D"
# Create diagram from LLDP data
"Create a 3D network diagram from the LLDP data"
# Quick topology request
"Show me the network topology in Blender"
Export Visualization
# Export as PNG
"Export the Blender scene as topology.png"
# Save the diagram
"Save the network diagram as a PNG file"
# Render to image
"Render the topology to an image"
Customize Visualization
# Color customization
"Color router-1 red"
"Make all switches purple"
"Change the color of the firewalls to orange"
# Add labels
"Add labels to all devices"
"Label each device with its hostname"
# Highlighting
"Highlight router-1"
"Make core-rtr-01 stand out"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 141 lines · 26 tokens per session scan A 9b8b6f8b7757
blender-3d-viz is a skill published in the GitHub repository automateyournetwork/netclaw (655 stars, last pushed 5d ago), licensed Apache-2.0. It adds 26 tokens to every session and 1,106 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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