Netmiko Ssh Automation logo

Netmiko Ssh Automation

Community
arsallls
netmiko-ssh-automation

Multi-vendor network device SSH automation using Python Netmiko — connecting, sending commands, parsing output, handling enable mode, error handling, and batch operations across device lists.

Overview

Publisherarsallls
Repositoryclaude-network-skills
Skill namenetmiko-ssh-automation
Stars
77
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by arsallls on GitHub. Read the source before you install it.

Installation

Install the Netmiko Ssh Automation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/arsallls/claude-network-skills/tree/main/skills/netmiko-ssh-automation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/arsallls/claude-network-skills.git /tmp/claude-network-skills
mkdir -p .claude/skills
cp -r /tmp/claude-network-skills/skills/netmiko-ssh-automation .claude/skills/netmiko-ssh-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Netmiko Ssh Automation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Netmiko Ssh Automation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Netmiko Ssh Automation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Netmiko SSH Automation

Patterns for automating network device interaction via SSH using Netmiko. Covers single-device connections, batch operations, enable mode, error handling, and output parsing.

When to Activate

  • Writing Python scripts to automate Cisco, Juniper, Arista, or other network devices via SSH
  • Collecting show command output from multiple devices programmatically
  • Applying configuration changes across a fleet of devices
  • Parsing structured or semi-structured CLI output in Python
  • Building network automation tools or scripts that talk to real devices

Basic Connection

python
from netmiko import ConnectHandler

device = {
    "device_type": "cisco_ios",     # See device type list below
    "host": "192.168.1.1",
    "username": "admin",
    "password": "secret",
    "secret": "enable_secret",      # Required for devices that need enable mode
    "port": 22,                     # Default SSH port
    "timeout": 30,                  # Connection timeout in seconds
    "session_log": "session.log",   # Optional: log all CLI I/O to a file
}

with ConnectHandler(**device) as conn:
    output = conn.send_command("show version")
    print(output)
# Connection auto-closes on context manager exit

Device Types Reference

python
# Common device_type values:
# cisco_ios        — Cisco IOS / IOS-XE
# cisco_nxos       — Cisco NX-OS (Nexus)
# cisco_xr         — Cisco IOS-XR
# cisco_asa        — Cisco ASA
# juniper_junos    — Juniper JunOS
# arista_eos       — Arista EOS
# linux            — Linux hosts (servers, Raspberry Pi, etc.)
# paloalto_panos   — Palo Alto PAN-OS
# fortinet         — Fortinet FortiOS
# mikrotik_routeros — MikroTik RouterOS

# For SSH key authentication instead of password:
device = {
    "device_type": "cisco_ios",
    "host": "192.168.1.1",
    "username": "admin",
    "use_keys": True,
    "key_file": "/home/user/.ssh/id_rsa",
}

Enable Mode

python
# Option 1: Auto-enter enable at connection time (recommended)
device = {
    "device_type": "cisco_ios",
    "host": "192.168.1.1",
    "username": "admin",
    "password": "secret",
    "secret": "enable_secret",
}
with ConnectHandler(**device) as conn:
    conn.enable()                    # Enter privileged exec
    output = conn.send_command("show running-config")

# Option 2: Check and enter enable as needed
with ConnectHandler(**device) as conn:
    if conn.check_enable_mode():
        print("Already in enable mode")
    else:
        conn.enable()

Sending Configuration

python
from netmiko import ConnectHandler

commands = [
    "interface GigabitEthernet0/1",
    "description AUTOMATION-TEST",
    "no shutdown",
]

with ConnectHandler(**device) as conn:
    conn.enable()
    # send_config_set handles 'configure terminal' and 'end' automatically
    output = conn.send_config_set(commands)
    print(output)

    # Save the config after changes
    conn.save_config()    # Runs 'write memory' or 'copy run start' as appropriate

Batch Operations Across Multiple Devices

python
from netmiko import ConnectHandler
from netmiko.exceptions import NetmikoAuthenticationException, NetmikoTimeoutException
from concurrent.futures import ThreadPoolExecutor, as_completed
from typing import Any

DEVICES = [
    {"host": "10.0.0.1", "device_type": "cisco_ios"},
    {"host": "10.0.0.2", "device_type": "cisco_ios"},
    {"host": "10.0.0.3", "device_type": "arista_eos"},
]
BASE_CREDS = {"username": "admin", "password": "secret"}

def run_command_on_device(device_params: dict, command: str) -> dict[str, Any]:
    params = {**device_params, **BASE_CREDS}
    host = params["host"]
    try:
        with ConnectHandler(**params) as conn:
            output = conn.send_command(command)
        return {"host": host, "output": output, "error": None}
    except NetmikoAuthenticationException:
        return {"host": host, "output": None, "error": "Authentication failed"}
    except NetmikoTimeoutException:
        return {"host": host, "output": None, "error": "Connection timed out"}
    except Exception as e:
        return {"host": host, "output": None, "error": str(e)}

# Run in parallel (max 10 concurrent connections)
results = []
with ThreadPoolExecutor(max_workers=10) as executor:
    futures = {
        executor.submit(run_command_on_device, d, "show version"): d["host"]
        for d in DEVICES
    }
    for future in as_completed(futures):
        results.append(future.result())

for r in results:
    if r["error"]:
        print(f"{r['host']}: ERROR — {r['error']}")
    else:
        print(f"{r['host']}: OK")

Parsing Output

python
from netmiko import ConnectHandler
import re

# TextFSM parsing (returns structured list of dicts when templates exist)
with ConnectHandler(**device) as conn:
    # use_textfsm=True applies NTC-templates automatically for known commands
    parsed = conn.send_command("show ip interface brief", use_textfsm=True)
    # Returns list of dicts: [{"intf": "Gi0/0", "ipaddr": "10.0.0.1", ...}]
    for intf in parsed:
        print(f"{intf['intf']}: {intf['ipaddr']} — {intf['status']}/{intf['proto']}")

# Manual regex parsing when TextFSM templates don't exist
BGP_NEIGHBOR_RE = re.compile(
    r"^(?P<ip>\d{1,3}(?:\.\d{1,3}){3})\s+\d+\s+(?P<as>\d+)"
    r"\s+\d+\s+\d+\s+\d+\s+\d+\s+(?P<uptime>\S+)\s+(?P<state>\S+)",
    re.MULTILINE,
)

with ConnectHandler(**device) as conn:
    raw = conn.send_command("show bgp summary")

for m in BGP_NEIGHBOR_RE.finditer(raw):
    print(f"Neighbor {m.group('ip')} (AS {m.group('as')}): {m.group('state')}")

Error Handling Patterns

python
from netmiko import ConnectHandler
from netmiko.exceptions import (
    NetmikoAuthenticationException,
    NetmikoTimeoutException,
    NetMikoTimeoutException,  # Legacy alias — handle both
)
import socket

def safe_connect(device_params: dict) -> dict:
    host = device_params.get("host", "unknown")
    try:
        conn = ConnectHandler(**device_params)
        return {"conn": conn, "error": None}
    except NetmikoAuthenticationException:
        return {"conn": None, "error": f"{host}: authentication failed"}
    except (NetmikoTimeoutException, NetMikoTimeoutException):
        return {"conn": None, "error": f"{host}: SSH timeout"}
    except socket.gaierror:
        return {"conn": None, "error": f"{host}: DNS resolution failed"}
    except ConnectionRefusedError:
        return {"conn": None, "error": f"{host}: SSH port not open"}
    except Exception as e:
        return {"conn": None, "error": f"{host}: {type(e).__name__}: {e}"}

Anti-Patterns

python
# BAD: Not using context manager — connection leaks if an exception occurs
conn = ConnectHandler(**device)
output = conn.send_command("show version")
# If exception happens here, conn.disconnect() is never called
conn.disconnect()

# GOOD: Always use context manager
with ConnectHandler(**device) as conn:
    output = conn.send_command("show version")

# BAD: Hardcoding credentials in source code
device = {
    "host": "10.0.0.1",
    "username": "admin",
    "password": "MyPassword123",   # Never do this
}

# GOOD: Load from environment variables or a secrets manager
import os
device = {
    "host": "10.0.0.1",
    "username": os.environ["NET_USERNAME"],
    "password": os.environ["NET_PASSWORD"],
}

# BAD: Running batch operations sequentially — very slow at scale
for d in devices:
    result = run_command_on_device(d, "show version")  # Sequential, slow

# GOOD: Use ThreadPoolExecutor for parallel SSH connections (see Batch Operations above)

# BAD: Sending config without saving
conn.send_config_set(["interface Gi0/1", "description CHANGED"])
# Config is in running-config only — lost on reload

# GOOD: Always save after config changes
conn.send_config_set(["interface Gi0/1", "description CHANGED"])
conn.save_config()

Best Practices

  • Always use context managers (with ConnectHandler(...) as conn) for automatic cleanup
  • Store credentials in environment variables or a vault — never in source code
  • Set explicit timeout values — default can be too long for large-scale automation
  • Use session_log during development to capture full CLI I/O for debugging
  • Use use_textfsm=True on supported commands for structured output — much easier to process
  • Wrap all connections in try/except to handle unreachable devices gracefully in batch jobs
  • Limit parallel threads to 10–20 — more can exhaust SSH sessions on older devices

Related Skills

  • cisco-ios-patterns
  • network-bgp-diagnostics
  • network-config-validation

Frequently asked questions

What does the Netmiko Ssh Automation AI skill do?

Multi-vendor network device SSH automation using Python Netmiko — connecting, sending commands, parsing output, handling enable mode, error handling, and batch operations across device lists.

Why use Netmiko Ssh Automation on TypingMind?

Because you install it once and use it with any model. Netmiko Ssh Automation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Netmiko Ssh Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arsallls/claude-network-skills/tree/main/skills/netmiko-ssh-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Netmiko Ssh Automation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Netmiko Ssh Automation?

As many as you like. As long as a model supports skills, you can use Netmiko Ssh Automation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Netmiko Ssh Automation AI skill free?

Yes. It is published on GitHub by arsallls under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇