Agent skill

Pyats Linux System

by automateyournetwork in automateyournetwork/netclaw

Linux host system operations via pyATS — process monitoring, filesystem inspection, Docker container stats, package/tool verification across fleet hosts.

Apache-2.0Auto-check passedDevOps & Cloud

Install Pyats Linux System

skills CLI

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

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

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-linux-system --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-linux-system .claude/skills/pyats-linux-system && 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-linux-system" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-linux-system into .claude/skills/pyats-linux-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-linux-system", 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-linux-system

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-linux-system -a codex

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

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-linux-system --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-linux-system .agents/skills/pyats-linux-system && 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-linux-system" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-linux-system into .agents/skills/pyats-linux-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-linux-system", 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-linux-system -a cursor

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

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-linux-system --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-linux-system .cursor/skills/pyats-linux-system && 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-linux-system" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-linux-system into .cursor/skills/pyats-linux-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-linux-system", 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-linux-system

--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-linux-system -a gemini-cli

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

GitHub CLI

$ gh skill install automateyournetwork/netclaw pyats-linux-system --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-linux-system .gemini/skills/pyats-linux-system && 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-linux-system" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-linux-system into .gemini/skills/pyats-linux-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-linux-system", 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-linux-system

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-linux-system -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-linux-system .github/skills/pyats-linux-system && 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-linux-system" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-linux-system into .github/skills/pyats-linux-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-linux-system", 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-linux-system -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-linux-system --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-linux-system .opencode/skills/pyats-linux-system && 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-linux-system" agent skill from https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/pyats-linux-system into .opencode/skills/pyats-linux-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pyats-linux-system", 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-linux-system
GitHub stars: 675
Token cost: ~2.1k tokens
SKILL.md length: 566 words
Files: 1
Skills in repo: 120
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Linux host system operations via pyATS — process monitoring, filesystem inspection, Docker container stats, package/tool verification across fleet hosts.

Works in 4 steps: Linux Host Health Check → Docker Fleet Monitoring → Process Audit → …
Checking running processes
SKILL.md covers Testbed Requirements, How to Call, Commands and Workflows, plus 4 more sections
Calls python3; needs NETCLAW_PASSWORD

What it does

Pyats Linux System is an agent skill from automateyournetwork/netclaw. Linux host system operations via pyATS — process monitoring, filesystem inspection, Docker container stats, package/tool verification across fleet hosts. Use when checking running processes, monitoring Docker containers, inspecting log files, or verifying system tools on Linux hosts.

Its SKILL.md is about 2.1k 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 DevOps & Cloud, covering Containers. It works with Linux, Docker and Model Context Protocol. The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.

When your agent uses it

Checking running processes
Monitoring Docker containers
Inspecting log files
Verifying system tools on Linux hosts

Example prompts

“/pyats-linux-system”

Requirements

Python 3
Node.js
Docker

Workflow steps

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

Linux Host Health Check
Docker Fleet Monitoring
Process Audit
System Readiness Check

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 these keys or tokens, usually read from environment variables:
- NETCLAW_PASSWORD
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pyats Linux System loads about 2.1k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 566 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~76
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k

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). 566 words, ~2,087 tokens.

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

name: pyats-linux-system
description: Linux host system operations via pyATS — process monitoring, filesystem inspection, Docker container stats, package/tool verification across fleet hosts. Use when checking running processes, monitoring Docker containers, inspecting log files, or verifying system tools on Linux hosts.
license: Apache-2.0
user-invocable: true

Linux Host System Operations

Testbed Requirements

Linux hosts must be defined in the pyATS testbed with os: linux:

yaml

devices:
  linux-host-01:
    os: linux
    type: linux
    connections:
      cli:
        protocol: ssh
        ip: 10.0.0.50
        port: 22
    credentials:
      default:
        username: "%ENV{NETCLAW_USERNAME}"
        password: "%ENV{NETCLAW_PASSWORD}"

How to Call

All commands use pyats_run_linux_command:

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"<command>"}'

Commands

Process Monitoring

List All Running Processes

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"ps -ef"}'

Returns full process listing: UID, PID, PPID, CPU time, start time, command. Use for capacity planning, runaway process detection, and baseline comparison.

Search for Specific Processes

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"ps -ef | grep nginx"}'

Filter processes by name. Common targets:

ps -ef | grep python — Python services (MCP servers, automation agents)
ps -ef | grep docker — Docker daemon and containers
ps -ef | grep ssh — SSH connections
ps -ef | grep java — Java applications (Kafka, Elasticsearch)
ps -ef | grep node — Node.js services (MCP servers)

Docker Container Operations

Container Resource Usage

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"docker stats --no-stream"}'

Returns point-in-time container stats: CPU %, memory usage/limit, network I/O, block I/O, PIDs. The --no-stream flag captures a single snapshot (no continuous output).

What to check:

CPU > 80% sustained — container may need resource limits or horizontal scaling
Memory near limit — risk of OOM kill
Network I/O spikes — correlate with application traffic patterns
High PID count — possible fork bomb or thread leak

Filesystem Inspection

List Files (Current Directory)

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"ls -l"}'

List Files (Specific Directory)

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"ls -l /var/log"}'

Common directories to inspect:

/var/log — System and application logs (check sizes, rotation)
/etc — Configuration files (verify expected configs exist)
/tmp — Temporary files (check for disk space issues)
/opt — Third-party applications
/home — User home directories

System Tool Verification

Check curl Version and Capabilities

bash

PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"curl -V"}'

Returns curl version, supported protocols (HTTP, HTTPS, FTP, SFTP, etc.), and TLS library info. Use to verify:

curl is installed and functional
HTTPS/TLS support is available (needed for API calls)
Protocol support matches requirements (e.g., HTTP/2, SFTP)

Workflows

1. Linux Host Health Check

pyats_list_devices → identify Linux hosts in testbed
→ pyats_run_linux_command(host, "ps -ef") → check for expected services
→ pyats_run_linux_command(host, "docker stats --no-stream") → container resource usage
→ pyats_run_linux_command(host, "ls -l /var/log") → check log file sizes
→ Severity-sort findings → GAIT

2. Docker Fleet Monitoring

pyats_list_devices → identify all Docker hosts
→ pyats_run_linux_command per host ("docker stats --no-stream") → collect stats
→ Aggregate: CPU hotspots, memory pressure, network I/O
→ Flag containers approaching resource limits
→ GAIT

3. Process Audit

pyats_list_devices → identify target Linux hosts
→ pyats_run_linux_command per host ("ps -ef") → collect all processes
→ Compare against expected process baseline
→ Flag unexpected processes (security concern) or missing processes (service failure)
→ GAIT

4. System Readiness Check

pyats_run_linux_command(host, "curl -V") → verify curl/TLS
→ pyats_run_linux_command(host, "ls -l /opt/application") → verify app installed
→ pyats_run_linux_command(host, "ps -ef | grep application") → verify app running
→ pyats_run_linux_command(host, "docker stats --no-stream") → verify containers healthy
→ GAIT

Parallel Operations

Run the same command across multiple Linux hosts concurrently using the pCall pattern:

bash

# Host 1
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"docker stats --no-stream"}'

# Host 2
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-02","command":"docker stats --no-stream"}'

# Host 3
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-03","command":"docker stats --no-stream"}'

All hosts execute concurrently. Results aggregated by the agent.

Integration with Other Skills

Skill	Integration
pyats-network	`pyats_run_linux_command` is tool 7 in the pyATS MCP — same server, different target OS
pyats-parallel-ops	pCall pattern for fleet-wide Linux host operations
pyats-health-check	Extend network health checks to include Linux host health
pyats-linux-network	Network-focused Linux commands (ifconfig, ip route, netstat, route)
pyats-linux-vmware	VMware ESXi host operations (vim-cmd) for hypervisor management
netbox-reconcile	Cross-reference Linux host inventory with NetBox DCIM records
gait-session-tracking	Every Linux command execution logged in GAIT

Show full SKILL.md (193 more words)Show less

Guardrails

Always call pyats_list_devices first — verify Linux hosts exist in the testbed before running commands
Read-only by default — all commands in this skill are read-only (ps, ls, docker stats, curl -V)
No destructive commands — never use kill, rm, shutdown, reboot, or service stop via this skill
Gate write operations behind ServiceNow — if extending to write operations, require a Change Request
Sanitize grep patterns — when using ps -ef | grep, ensure the pattern doesn't contain shell metacharacters
Record in GAIT — every Linux command execution must be logged

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.

Files

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

Open the folder on GitHubat commit 95bb17e

Compare with similar skills

Pyats Linux System 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 Linux System compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Pyats Linux System this skillautomateyournetwork/netclaw	675	—	~2.1k	Automated safety check: Pass	Apache-2.0	3 days ago
Oneclickvirtoneclickvirt/oneclickvirt	372	—	~1.1k	Automated safety check: Pass	GPL-3.0	6 days ago
Devsydevsy-org/devsy	110	—	~1.7k	Automated safety check: Pass	MPL-2.0	today
Agentdock User Guideuvwt/agentdock	1.2k	—	~1.6k	Automated safety check: Pass	Apache-2.0	yesterday
Dotnet Debuggingnovotnyllc/dotnet-artisan	233	—	~2.1k	Automated safety check: Pass	MIT	today
Swig CI Reproswig/swig	6.3k	—	~1.2k	Automated safety check: Pass	Custom licence	yesterday

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Questions about Pyats Linux System

What does Pyats Linux System do?

Linux host system operations via pyATS — process monitoring, filesystem inspection, Docker container stats, package/tool verification across fleet hosts. Pyats Linux System is an agent skill from automateyournetwork/netclaw. Linux host system operations via pyATS — process monitoring, filesystem inspection, Docker container stats, package/tool verification across fleet hosts.

When should I use Pyats Linux System?

Pyats Linux System fits situations like: checking running processes; monitoring Docker containers; inspecting log files; verifying system tools on Linux hosts.

How do I install Pyats Linux System in Claude Code?

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

How do I install Pyats Linux System in Codex?

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

Can I use Pyats Linux System 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-linux-system -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-linux-system, .gemini/skills/pyats-linux-system, .github/skills/pyats-linux-system and .opencode/skills/pyats-linux-system in your project.

What does Pyats Linux System need to run?

Going by SKILL.md and its folder, Pyats Linux System needs the command-line tools its instructions call (python3) and credentials named NETCLAW_PASSWORD. Our summary lists: Python 3; Node.js; Docker.

Does Pyats Linux System 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 Linux System 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 Linux System use?

Pyats Linux System 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 Linux System use?

About 2.1k tokens (SKILL.md is roughly 8.3k 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 Linux System?

Skills that share tags, products or a category with Pyats Linux System: Oneclickvirt (oneclickvirt/oneclickvirt, 372 stars), Devsy (devsy-org/devsy, 110 stars), Agentdock User Guide (uvwt/agentdock, 1.2k stars) and Dotnet Debugging (novotnyllc/dotnet-artisan, 233 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pyats Linux System?

automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 675 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 Linux System

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

Linux Host System Operations

Testbed Requirements

How to Call

Commands

Process Monitoring

List All Running Processes

Search for Specific Processes

Docker Container Operations

Container Resource Usage

Filesystem Inspection

List Files (Current Directory)

List Files (Specific Directory)

System Tool Verification

Check curl Version and Capabilities

Workflows

1. Linux Host Health Check

2. Docker Fleet Monitoring

3. Process Audit

4. System Readiness Check

Parallel Operations

Integration with Other Skills

Guardrails

Failure Behavior

Files

Compare with similar skills

Similar skills

More from automateyournetwork/netclaw

Related

Questions about Pyats Linux System