Orchestrate authorized Nmap host discovery, service enumeration, and automated security reporting.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nmap-pentest-scans
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install nmap-pentest-scans using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Nmap Pentest Scans?
The Nmap Pentest Scans skill is a technical framework designed to plan and execute network reconnaissance within authorized boundaries. By leveraging the power of Openclaw Skills, this tool automates the creation of deterministic scan plans, ensuring that every command is both reproducible and logged. It bridges the gap between manual CLI scanning and structured security engineering, providing a reliable way to map out attack surfaces during the Discovery phase of an engagement.
Built with security professionals in mind, the skill emphasizes safety and compliance. It requires explicit scope validation and user authorization before any active packets are sent, making it a responsible choice for integrating network scanning into automated agents. By utilizing Openclaw Skills, you can transform raw Nmap output into structured findings that are ready for further analysis or reporting.
Nmap Pentest Scans Use Cases
- Automated host discovery and port scanning for authorized penetration testing engagements within Openclaw Skills.
- Generating structured scan plans and command sequences for reproducible security audits.
- Normalizing Nmap findings into JSON format for easier integration with downstream security tools.
- Scaling reconnaissance workflows across complex network infrastructures using Openclaw Skills.
How Nmap Pentest Scans Works
- Validates the provided scope against a JSON schema to ensure all targets are within the allowed range.
- Requests explicit authorization from the operator before moving from a dry-run phase to live network interaction.
- Evaluates the target environment to select an optimal scan profile, such as stealth, balanced, or fast.
- Constructs and executes the Nmap command sequence based on the selected profiling logic.
- Captures raw output and processes it into normalized findings and deterministic scan-plan artifacts.
Nmap Pentest Scans Setup
To integrate this capability into your Openclaw Skills environment, ensure Nmap is installed on your host system and follow these steps:
# Install Nmap on Debian/Ubuntu
sudo apt-get update && sudo apt-get install nmap -y
# Navigate to the skill directory
cd skills/nmap-pentest-scans
# Execute a dry-run to verify scope and profile selection
python scripts/nmap_pentest_scans.py --scope scope.json --target 192.168.1.1 --format json --dry-run
Nmap Pentest Scans Data Schema & Taxonomy
This skill produces a standardized set of artifacts to ensure transparency and ease of ingestion for Openclaw Skills data pipelines:
| Artifact | Purpose |
|---|---|
scan-plan.json |
A machine-readable definition of the intended scan logic. |
scan-plan.md |
A human-readable summary of the reconnaissance strategy. |
recommended-commands.txt |
The exact shell commands generated for the Nmap execution. |
findings/nmap-pentest-findings.json |
Normalized security findings mapped to standardized schemas. |
nmap-pentest-scans-report.json |
A comprehensive final report containing all metadata and results. |
Nmap Pentest Scans Advanced Features
- Strict scope enforcement using shared schemas common to other Openclaw Skills to prevent accidental out-of-scope activity.
- Support for multiple scanning profiles (stealth, balanced, fast) to manage network noise and detection risks.
- Deterministic artifact generation for consistent reporting and easier diffing between scan iterations.
- Native alignment with the MITRE ATT&CK framework (TA0007) for professional-grade security documentation within Openclaw Skills.
SKILL.md
Loading
Related Openclaw Skills
ML Model Evaluation & Benchmarking
A technical tool for producing consistent model rankings from metric-weighted evaluation inputs and deterministic benchmarking logic.
ML Experiment Tracker
A standardized framework for planning and documenting reproducible machine learning experiments before training begins.
Google Workspace Automation
A specialized tool for designing secure, scope-aware automation plans for Gmail, Drive, Sheets, and Calendar.
Docs Pipeline Automation
A skill for building repeatable, data-driven pipelines that automate document generation from Google Sheets and Drive sources.
Pentest Active Directory
An automated security assessment tool for mapping and validating Active Directory identity attack paths and privilege escalation routes.
Pentest API Attacker
A professional security testing skill designed to enumerate and audit API endpoints against the OWASP API Security Top 10.
Featured*
