What is canvas-network-viz?

A renderer for inline network diagrams and status views in the OpenClaw chat interface. It turns data from existing network, monitoring, and service-management tools into topology maps, dashboards, alerts, timelines, diffs, path traces, and health scorecards.

Use it to display network topology, device or site health, current alerts, change-request timelines, configuration differences, paths between endpoints, and site health summaries.

It makes network state and incidents easier to inspect in one visual view instead of reading separate tool results. It uses existing data and does not connect directly to devices or create new servers.

canvas-network-viz — Skill for Claude Code by automateyournetwork

Install

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.

Any agent

npx skills add automateyournetwork/netclaw --skill canvas-network-viz

Clone the repo

git clone --depth 1 https://github.com/automateyournetwork/netclaw

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/automateyournetwork/netclaw/canvas-network-viz/github.svg)](https://agentmods.dev/skills/automateyournetwork/netclaw/canvas-network-viz)

Your own site

<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/canvas-network-viz"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/canvas-network-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/canvas-network-viz"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/canvas-network-viz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 903 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00116	$0.00903
Opus 5	$0.00058	$0.00451
Sonnet 5	$0.00023	$0.00181
Haiku 4.5	$0.00012	$0.00090

Measured 12d ago against content hash 8a1f3432fe59, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

canvas-network-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.

The scan reads SKILL.md. This mod also ships 13 executable files (components/alert-card.js, components/change-timeline.js, components/dashboard-panel.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

workspace/skills/canvas-network-viz/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Canvas Network Visualization

Overview

This skill renders inline network visualizations in the OpenClaw chat interface using the Canvas/A2UI framework. It does NOT establish direct device connections or create new MCP servers. All data is sourced from existing MCP tools.

Visualization Types

Type	Component	Data Sources	Trigger
Topology Map	`topology-map`	pyATS CDP/LLDP, health metrics	"show network topology"
Dashboard Panel	`dashboard-panel`	pyATS, Grafana, Prometheus	"show health dashboard for {device}"
Alert Card	`alert-card`	Grafana alerts, Prometheus alertmanager	"show current alerts"
Change Timeline	`change-timeline`	ServiceNow	"show change request {CR} status"
Diff View	`diff-view`	pyATS config/route/ACL	"show config diff for {device}"
Path Trace	`path-trace`	pyATS, SuzieQ	"trace path from {src} to {dst}"
Health Scorecard	`health-scorecard`	pyATS, Grafana, Prometheus	"show health scorecard for {site}"

How It Works

Operator requests a visualization via natural language
Skill identifies visualization type from request pattern
Data is fetched from relevant MCP servers via existing tools
Data is transformed into the visualization-specific content model
A2UI JSON envelope is built with component type, props, and content
Canvas framework renders the visualization inline in chat
GAIT audit log entry is emitted for the visualization event

Output Format

All visualizations produce A2UI JSON:

{
  "a2ui": {
    "version": "1.0",
    "type": "canvas",
    "component": "<visualization-type>",
    "props": {
      "id": "<uuid>",
      "title": "<title>",
      "timestamp": "<ISO 8601>",
      "dataSources": [...],
      "scope": {...},
      "warnings": [...],
      "content": {...}
    }
  }
}

Graceful Degradation

If a data source is unavailable, partial data is rendered with warnings
If no data is available at all, an error-card is returned with guidance
Health status defaults to "unknown" (gray) when metrics are missing
Large topologies (200+ nodes) are automatically clustered by site

Read the full file on GitHub · 86 lines

Files

What ships with it

20 files 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.

Changes

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 · 86 lines · 116 tokens per session scan A 8a1f3432fe59

Subscribe to this mod's changes

canvas-network-viz is a skill published in the GitHub repository automateyournetwork/netclaw (657 stars, last pushed 6d ago), licensed Apache-2.0. It adds 116 tokens to every session and 903 once invoked, about $0.0006 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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