Agent skill

Pyats Network

by automateyournetwork in automateyournetwork/netclaw

Network device automation via pyATS - run show commands, ping, apply config, learn config/logging, list devices, run Linux commands on Cisco IOS-XE/NX-OS devices.

Apache-2.0Auto-check passedMobile

Install Pyats Network

skills CLI

$ npx skills add automateyournetwork/netclaw --skill pyats-network -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-network --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/pyats-network .claude/skills/pyats-network && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "pyats-network" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-network into .claude/skills/pyats-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-network", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-network

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill pyats-network -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-network --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workspace/skills/pyats-network .agents/skills/pyats-network && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "pyats-network" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-network into .agents/skills/pyats-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-network", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill pyats-network -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-network --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workspace/skills/pyats-network .cursor/skills/pyats-network && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "pyats-network" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-network into .cursor/skills/pyats-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-network", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/automateyournetwork/netclaw.git --path workspace/skills/pyats-network

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill pyats-network -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-network --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workspace/skills/pyats-network .gemini/skills/pyats-network && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "pyats-network" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-network into .gemini/skills/pyats-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-network", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-network

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add automateyournetwork/netclaw --skill pyats-network -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/workspace/skills/pyats-network .github/skills/pyats-network && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "pyats-network" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-network into .github/skills/pyats-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-network", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add automateyournetwork/netclaw --skill pyats-network -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-network --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workspace/skills/pyats-network .opencode/skills/pyats-network && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "pyats-network" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-network into .opencode/skills/pyats-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-network", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: pyats-network
GitHub stars: 676
Token cost: ~2.8k tokens
SKILL.md length: 958 words
Files: 1
Skills in repo: 120
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Network device automation via pyATS - run show commands, ping, apply config, learn config/logging, list devices, run Linux commands on Cisco IOS-XE/NX-OS devices.

Works in 8 steps: pyats_list_devices → pyats_run_show_command → pyats_configure_device → …
Running CLI commands on routers
SKILL.md covers Server & Testbed, Available Devices, How to Call Tools and All 8 Available Tools, plus 3 more sections
Calls python3

What it does

Pyats Network is an agent skill from automateyournetwork/netclaw. Network device automation via pyATS - run show commands, ping, apply config, learn config/logging, list devices, run Linux commands on Cisco IOS-XE/NX-OS devices. Use when running CLI commands on routers or switches, checking interface status, applying configuration changes, or collecting device data via pyATS. To author or design a new aetest validation script (rather than execute an existing one), use pyats-dynamic-test instead.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile. It works with Linux and iOS. The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.

When your agent uses it

Running CLI commands on routers
Checking interface status
Applying configuration changes
Collecting device data via pyATS

Example prompts

“/pyats-network”

Requirements

Python 3

Workflow steps

8 steps, taken from the step headings in SKILL.md.

pyats_list_devices
pyats_run_show_command
pyats_configure_device
pyats_show_running_config
pyats_show_logging
pyats_ping_from_network_device
pyats_run_linux_command
pyats_run_dynamic_test

What it can do on your machine

Read from SKILL.md and the folder at commit 95bb17e. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pyats Network loads about 2.8k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 958 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~113
When it runs · the whole SKILL.md, loaded when a task matches: ~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from automateyournetwork/netclaw at commit 95bb17e, republished under its Apache-2.0 licence (© automateyournetwork). 958 words, ~2,810 tokens.

Download SKILL.mdSave it as .claude/skills/pyats-network/SKILL.md (or your agent's skills folder).

name: pyats-network
description: Network device automation via pyATS - run show commands, ping, apply config, learn config/logging, list devices, run Linux commands on Cisco IOS-XE/NX-OS devices. Use when running CLI commands on routers or switches, checking interface status, applying configuration changes, or collecting device data via pyATS. To author or design a new aetest validation script (rather than execute an existing one), use `pyats-dynamic-test` instead.
license: Apache-2.0
user-invocable: true

pyATS Network Device Tool

Server & Testbed

Server script: $PYATS_MCP_SCRIPT
Testbed: $PYATS_TESTBED_PATH
Environment variable: PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH

Available Devices

Devices are defined in $PYATS_TESTBED_PATH and vary per installation — run pyats_list_devices first to see the actual device names, aliases, and platforms available in this testbed (e.g. R1 on Cisco IOS-XE). Examples below use R1 as a placeholder device name; substitute the real device name(s) returned by pyats_list_devices.

How to Call Tools

Use the $MCP_CALL protocol handler to invoke MCP tools:

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" TOOL_NAME 'ARGS_JSON'

All 8 Available Tools

1. `pyats_list_devices`

List all devices in the testbed with their properties: name, alias, type, OS, platform, connection types, credentials summary.

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_list_devices '{}'

Use when: Starting any session — always list devices first to confirm connectivity and inventory.

2. `pyats_run_show_command`

Execute any show command with automatic Genie structured parsing. Returns parsed JSON when a Genie parser exists, raw text otherwise.

device_name (string): Target device from testbed
command (string): Show command — must start with "show"

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_show_command '{"device_name":"R1","command":"show ip interface brief"}'

Validation rules:

Must start with "show"
No pipes (|), redirects (>), or shell characters
Cannot include: copy, delete, erase, reload, write, configure keywords
Do NOT use for show running-config or show logging — use the dedicated tools

Commands with Genie parsers (structured JSON output) on IOS-XE:

Routing:

show ip route / show ip route vrf <name>
show ip protocols
show ip bgp / show ip bgp summary / show ip bgp neighbors
show ip ospf / show ip ospf neighbor / show ip ospf interface / show ip ospf database
show ip eigrp neighbors / show ip eigrp topology
show isis neighbors / show isis database
show ip static route

Interfaces:

show ip interface brief / show ipv6 interface brief
show interfaces / show interfaces <name>
show interfaces status
show interfaces counters
show ip interface

L2/Switching:

show vlan / show vlan brief
show spanning-tree / show spanning-tree detail
show mac address-table
show etherchannel summary

Neighbors:

show cdp neighbors / show cdp neighbors detail
show lldp neighbors / show lldp neighbors detail

FHRP:

show standby / show standby brief
show vrrp / show vrrp brief

System:

show version
show inventory
show processes cpu / show processes cpu sorted
show processes memory / show processes memory sorted
show platform
show ntp associations / show ntp status
show snmp
show clock
show bootflash
show license

Security:

show access-lists / show ip access-lists
show crypto isakmp sa / show crypto ipsec sa
show dot1x
show port-security
show authentication sessions

QoS:

show policy-map / show policy-map interface

VRF / MPLS:

show vrf / show vrf detail
show mpls forwarding-table
show mpls ldp neighbor

Other:

show arp
show ip nat translations
show ip dhcp binding
show track
show route-map
show ip prefix-list
show bfd neighbors
show flow monitor

3. `pyats_configure_device`

Apply configuration changes to a device. Automatically enters config mode and exits.

device_name (string): Target device
config_commands (list of strings OR multiline string): Configuration lines

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_configure_device '{"device_name":"R1","config_commands":["interface Loopback99","ip address 99.99.99.99 255.255.255.255","description NetClaw-Test","no shutdown"]}'

Rules:

Do NOT include configure terminal, conf t, or end — the tool handles mode transitions
DO include exit commands when you need to return to a higher config context
Preserves indentation for submode commands (route-maps, ACLs, etc.)
Blocked commands: write erase, erase, reload, delete, format

4. `pyats_show_running_config`

Retrieve the full running configuration from a device.

device_name (string): Target device

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_show_running_config '{"device_name":"R1"}'

Use when: Capturing configuration baselines, auditing config, pre/post change verification.

5. `pyats_show_logging`

Fetch system logs (last 250 entries) from a device.

device_name (string): Target device

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_show_logging '{"device_name":"R1"}'

Use when: Checking for errors, tracebacks, interface flaps, protocol events after changes.

6. `pyats_ping_from_network_device`

Execute ping from the network device itself (not from the MCP client).

device_name (string): Source device
command (string): Ping command (e.g., ping 8.8.8.8, ping 10.0.0.1 repeat 100 source Loopback0)

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_ping_from_network_device '{"device_name":"R1","command":"ping 8.8.8.8"}'

Returns: Structured JSON with success rate %, RTT stats, packet loss when Genie parsing succeeds.

Show full SKILL.md (375 more words)Show less

7. `pyats_run_linux_command`

Execute shell commands on Linux-based devices in the testbed.

device_name (string): Linux-capable device
command (string): Shell command

Use when: The testbed includes Linux hosts (containers, VMs) for system administration tasks.

8. `pyats_run_dynamic_test`

Execute a complete pyATS AEtest validation script inline. The script runs in a sandboxed environment.

test_script_content (string): Complete Python AEtest script

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_dynamic_test '{"test_script_content":"import logging\nfrom pyats import aetest\n\nlogger = logging.getLogger(__name__)\n\nTEST_DATA = {\"expected_interfaces\": [\"GigabitEthernet1\", \"Loopback0\"]}\n\nclass InterfaceTest(aetest.Testcase):\n    @aetest.test\n    def verify_interfaces(self):\n        for intf in TEST_DATA[\"expected_interfaces\"]:\n            logger.info(f\"Checking interface: {intf}\")\n            assert intf.startswith(\"Gi\") or intf.startswith(\"Loop\"), f\"Unexpected interface type: {intf}\"\n\nif __name__ == \"__main__\":\n    aetest.main()"}'

Rules:

Must define TEST_DATA as a Python dict literal (not loaded from file/network)
Cannot connect to devices (embed all data inline)
300-second timeout
Banned imports: os, sys, subprocess, shutil, socket, pathlib, pickle, yaml, requests, urllib, http, ssl
Banned functions: __import__(), eval(), exec(), compile(), open(), json.loads()

Use when: Complex pass/fail validation, multi-step assertions, compliance checks on data already collected via show commands.

Alternative: Direct Python pyATS

For operations beyond the 8 MCP tools, use pyATS directly:

python

from pyats.topology import loader
tb = loader.load('$PYATS_TESTBED_PATH')
device = tb.devices['R1']
device.connect(learn_hostname=True, log_stdout=False)
output = device.parse('show ip interface brief')
print(output)
device.disconnect()

Genie Learn (multi-command feature snapshots)

python

from genie.testbed import load
testbed = load('$PYATS_TESTBED_PATH')
dev = testbed.devices['R1']
dev.connect(learn_hostname=True, log_stdout=False)

# Learn returns an OS-agnostic normalized data model
ospf = dev.learn('ospf')       # Neighbors, interfaces, database, areas, LSAs
bgp = dev.learn('bgp')         # Neighbors, address-families, routes, state
intf = dev.learn('interface')   # All interfaces: status, IP, counters, MTU, speed
routing = dev.learn('routing')  # Full routing table from all protocols
platform = dev.learn('platform') # Hardware, modules, images, slots

print(ospf.info)
dev.disconnect()

All 34 learnable features: acl, arp, bgp, config, device, dot1x, eigrp, fdb, hsrp, igmp, interface, isis, lag, lisp, lldp, mcast, mld, msdp, nd, ntp, ospf, pim, platform, prefix_list, rip, route_policy, routing, static_routing, stp, terminal, utils, vlan, vrf, vxlan.

Genie Diff (state comparison)

python

from genie.utils.diff import Diff

# Capture before state
before = dev.learn('ospf')

# ... make changes ...

# Capture after state
after = dev.learn('ospf')

diff = Diff(before.info, after.info)
diff.findDiff()
print(diff)  # Shows + additions and - deletions

Failure Behavior

If a tool call fails with an authentication or connection error, check that PYATS_MCP_SCRIPT, PYATS_TESTBED_PATH are set and valid before assuming a data or device problem.
On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.

MCP Tasks

For eligible tools, a client declaring the current Tasks extension may receive a task handle. Retain it and poll for the terminal result; do not resubmit pending work. Ordinary clients continue receiving foreground results. A handle is not execution success or approval: preserve required baseline/change-control checks before invocation and verify the completed result afterward. Cancellation cannot undo commands already sent. Investigate unknown outcomes before retrying. pyATS retains completed results in SQLite and lets started work finish; other FastMCP tools default to ephemeral state and cooperative cancellation. See docs/MCP-TASKS.md.

Files

Just SKILL.md in workspace/skills/pyats-network of automateyournetwork/netclaw.

Open the folder on GitHubat commit 95bb17e

Compare with similar skills

Pyats Network next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pyats Network compared with similar skills
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Engine Whats Newflutter/flutter	179k	—	~978	Automated safety check: Pass	BSD-3-Clause	today
OdevioOdevio/Odevio-CLI	423	—	~7.6k	Automated safety check: Pass	MIT	15 days ago
Jetpack Composedarriousliu/PiPixiv	263	—	~1.5k	Automated safety check: Pass	Apache-2.0	yesterday
Ccapwysaid/CameraCapture	191	—	~1.4k	Automated safety check: Pass	MIT	3 mo ago
Maui AI DebuggingRedth/Maui.Gtk	101	—	~4.1k	Automated safety check: Pass	MIT	5 mo ago

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Questions about Pyats Network

What does Pyats Network do?

Network device automation via pyATS - run show commands, ping, apply config, learn config/logging, list devices, run Linux commands on Cisco IOS-XE/NX-OS devices. Pyats Network is an agent skill from automateyournetwork/netclaw. Network device automation via pyATS - run show commands, ping, apply config, learn config/logging, list devices, run Linux commands on Cisco IOS-XE/NX-OS devices.

When should I use Pyats Network?

Pyats Network fits situations like: running CLI commands on routers; checking interface status; applying configuration changes; collecting device data via pyATS.

How do I install Pyats Network in Claude Code?

Run `npx skills add automateyournetwork/netclaw --skill pyats-network -a claude-code`. Or copy the skill folder (workspace/skills/pyats-network in automateyournetwork/netclaw) into .claude/skills/pyats-network in your project. Claude Code loads it when a task matches its description.

How do I install Pyats Network in Codex?

Run `npx skills add automateyournetwork/netclaw --skill pyats-network -a codex`. Or copy the skill folder (workspace/skills/pyats-network in automateyournetwork/netclaw) into .agents/skills/pyats-network in your project. Codex loads it when a task matches its description.

Can I use Pyats Network in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add automateyournetwork/netclaw --skill pyats-network -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pyats-network, .gemini/skills/pyats-network, .github/skills/pyats-network and .opencode/skills/pyats-network in your project.

What does Pyats Network need to run?

Going by SKILL.md and its folder, Pyats Network needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Pyats Network access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Pyats Network safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Pyats Network use?

Pyats Network is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pyats Network use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pyats Network?

Skills that share tags, products or a category with Pyats Network: Engine Whats New (flutter/flutter, 179k stars), Odevio (Odevio/Odevio-CLI, 423 stars), Jetpack Compose (darriousliu/PiPixiv, 263 stars) and Ccap (wysaid/CameraCapture, 191 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pyats Network?

automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 676 GitHub stars. The repository holds 120 skills in this directory. The repository was last updated on October 5, 2026.

Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Pyats Network

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

pyATS Network Device Tool

Server & Testbed

Available Devices

How to Call Tools

All 8 Available Tools

1. pyats_list_devices

2. pyats_run_show_command

3. pyats_configure_device

4. pyats_show_running_config

5. pyats_show_logging

6. pyats_ping_from_network_device

7. pyats_run_linux_command

8. pyats_run_dynamic_test

Alternative: Direct Python pyATS

Genie Learn (multi-command feature snapshots)

Genie Diff (state comparison)

Failure Behavior

MCP Tasks

Files

Compare with similar skills

Similar skills

More from automateyournetwork/netclaw

Related

Questions about Pyats Network

1. `pyats_list_devices`

2. `pyats_run_show_command`

3. `pyats_configure_device`

4. `pyats_show_running_config`

5. `pyats_show_logging`

6. `pyats_ping_from_network_device`

7. `pyats_run_linux_command`

8. `pyats_run_dynamic_test`