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Command Execution

Organization
oasm-platform
command-execution

Execute security scanning commands on remote worker agents. Use when you need to run CLI tools like nmap, subfinder, httpx, nuclei, or any shell command on worker nodes.

Overview

Publisheroasm-platform
Repositoryopen-asm
Skill namecommand-execution
Stars
192
Forks
30
Bundled files
Instructions only
LicenseGPL-3.0
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 oasm-platform on GitHub. Read the source before you install it.

Installation

Install the Command Execution 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.
  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/oasm-platform/open-asm.git /tmp/open-asm
mkdir -p .claude/skills
cp -r /tmp/open-asm/core-api/src/modules/agents/skills/command-execution .claude/skills/command-execution
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Command Execution 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 Command Execution 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 Command Execution 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.

Command Execution

Use this skill when you need to run CLI security tools on remote worker nodes via execute_remote_command.

Workflow

1. Check Worker Availability

Before executing commands, verify workers are online:

Use list_active_workers to confirm at least one worker is available.

If no workers are available, inform the user and suggest they wait or check worker status.

2. Understand the Tool

execute_remote_command runs arbitrary shell commands on remote workers.

Parameters:

  • command (string, required): The shell command to execute

Output fields:

  • stdout: Standard output
  • stderr: Standard error
  • exitCode: Process exit code (0 = success)
  • error: Error message if execution failed
  • timedOut: Whether the command exceeded timeout

Constraints:

  • No PTY (non-interactive)
  • Strict timeout (60 seconds default)
  • OS-level permissions apply
  • Commands run in the worker's environment (tools must be installed)

3. Choose the Right Tool

Not everything needs remote execution. Use the right tool for the job:

TaskTool
Run CLI scanners (nmap, nuclei, subfinder, etc.)execute_remote_command
List workspace assets, vulns, ports, technologiesUse enumerate_assets, discover_vulnerabilities, list_network_ports, fingerprint_technologies
Get details on a specific asset or vulnerabilityUse inspect_asset, investigate_vulnerability
Fetch a web pageUse retrieve_web_page

Only use execute_remote_command when you need to run a CLI tool that is not available through the built-in OASM tools.

4. Build the Command

Use standard CLI syntax. Examples by category:

Subdomain Discovery:

subfinder -d example.com -silent
amass enum -passive -d example.com

HTTP Probing:

httpx -l subdomains.txt -status-code -title -tech-detect
httpx -u https://example.com -follow-redirects -status-code

Port Scanning:

naabu -host example.com -top-ports 1000
nmap -sV -sC -oX output.xml example.com
nmap -p 80,443,8080,8443 example.com

Vulnerability Scanning:

nuclei -u https://example.com -severity critical,high
nuclei -l urls.txt -severity critical,high,medium

DNS Enumeration:

dig example.com ANY
dnsx -d example.com -silent

Screenshot Capture:

gowitness file -f urls.txt -P ./screenshots

OSINT / Recon:

theHarvester -d example.com -b all

5. Execute and Analyze

  1. Run the command via execute_remote_command
  2. Check exitCode — non-zero may indicate partial results (e.g., nmap found nothing)
  3. Parse stdout for findings
  4. Check stderr for warnings or errors
  5. If the command times out, suggest breaking it into smaller scans or increasing scope

6. Save Results

After scanning, save important findings to memory:

  • Use stm_write to store scan results (e.g., key: "subdomain_results", value: the output)
  • Use ltm_append to persist critical findings across conversations

Safety Rules

  • Scope check: Only run scans against targets within the workspace scope. Use retrieve_targets to verify scope before scanning.
  • Avoid destructive flags: Do not use --rm, rm -rf, or similar commands that could damage the worker.
  • Prefer read-only scans: Use -sV (version detection) over -O (OS detection) when possible — less intrusive.
  • Rate limiting: Add delays between bulk operations (e.g., --rate-limit flags) to avoid overwhelming targets.

Frequently asked questions

What does the Command Execution AI skill do?

Execute security scanning commands on remote worker agents. Use when you need to run CLI tools like nmap, subfinder, httpx, nuclei, or any shell command on worker nodes.

Why use Command Execution on TypingMind?

Because you install it once and use it with any model. Command Execution 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 Command Execution in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oasm-platform/open-asm/tree/main/core-api/src/modules/agents/skills/command-execution. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Command Execution?

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 Command Execution?

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

Is the Command Execution AI skill free?

Yes. It is published on GitHub by oasm-platform under the GPL-3.0 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.

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