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 ChistokhinSV/gns3-mcp --skill skillgit clone --depth 1 https://github.com/ChistokhinSV/gns3-mcpWrote 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/chistokhinsv/gns3-mcp/skill)<a href="https://agentmods.dev/skills/chistokhinsv/gns3-mcp/skill"><img src="https://agentmods.dev/badge/skills/chistokhinsv/gns3-mcp/skill/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/chistokhinsv/gns3-mcp/skill"><img src="https://agentmods.dev/badge/skills/chistokhinsv/gns3-mcp/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00030 | $0.14675 |
| Opus 5 | $0.00015 | $0.07337 |
| Sonnet 5 | $0.00006 | $0.02935 |
| Haiku 4.5 | $0.00003 | $0.01468 |
Grade A, and why
gns3-lab-automation scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **HTTP client**: curl How it starts
The opening of the file, as written. The whole thing — 1,691 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GNS3 Lab Automation Skill
Overview
GNS3 (Graphical Network Simulator-3) is a network emulation platform for building complex network topologies. This skill provides knowledge for automating GNS3 lab operations through the MCP server.
Key Features (Must Know!)
🗒️ Project Notes/Memory System
Problem: Lab configurations consume conversation context (IPs, credentials, architecture notes) Solution: Store persistent notes in per-project README
When to use:
- ✅ Always read notes when starting work on a project
- ✅ Update notes after configuring new devices
- ✅ Document IP schemes, credentials, topology changes
- ✅ Record troubleshooting findings and solutions
Tools:
get_project_readme()- Retrieve project documentationupdate_project_readme(content)- Save/update documentation (markdown format)
Resource: projects://{id}/readme (read-only browsing)
Example Workflow:
# 1. Always start by reading existing notes
notes = get_project_readme()
# 2. Do your work (configure router, add nodes, etc.)
# ...
# 3. Update notes with new information
update_project_readme("""
# Lab Configuration
## Network Topology
- Router1: 10.1.0.1/24 (GigabitEthernet0/0)
- Router2: 10.1.0.2/24 (GigabitEthernet0/0)
## Credentials
- Username: admin
- Password: cisco123
## Last Updated
2025-10-26: Added Router2, configured OSPF
""")
📋 Template Usage Notes
Problem: Forgetting default credentials, boot times, device-specific setup steps Solution: Templates include built-in usage notes with device info
What's included:
- Default credentials (username/password)
- Boot timing estimates ("First boot takes 60 seconds...")
- Persistent storage locations ("/root directory persists")
- Console availability and device-specific quirks
How to access:
- For specific node:
projects://{id}/nodes/{node_id}/template - For template:
gns3://templates/{template_id}
Example:
# Get usage notes for a MikroTik node you just created
usage = read_resource("projects://{id}/nodes/{node_id}/template")
# Returns: "The login is admin, with no password by default.
# On first boot, RouterOS is actually being installed..."
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.
- 11d ago First seen · 1,691 lines · 30 tokens per session scan A fbff65b10406
gns3-lab-automation is a skill published in the GitHub repository ChistokhinSV/gns3-mcp (14 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 14,675 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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