A professional-grade API platform for identifying optimal digital forensics tools and skill development paths based on practitioner experience.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install toolweb-digital-forensics-tools
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install toolweb-digital-forensics-tools using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Digital Forensics Tools Assessment is a sophisticated diagnostic skill designed for security professionals and incident responders. It bridges the gap between complex operational requirements and the vast landscape of forensic technologies by providing data-driven recommendations tailored to individual skill levels and focus areas. By integrating this into your Openclaw Skills library, you can automate the process of building specialized forensic toolkits for diverse investigation scenarios.
Built by certified security experts (CISSP & CISM), the platform evaluates user profiles against an extensive database of industry-standard tools. Whether you are establishing a new forensic capability for an enterprise or advancing your personal technical proficiency, this skill ensures that your choice of technology aligns with your operational reality and deployment complexity needs.
To integrate this skill into your environment, use the following configuration steps:
# Install the Openclaw CLI if not already present
npm install -g @openclaw/cli
# Configure the Digital Forensics API endpoint
openclaw skill:add https://api.mkkpro.com/compliance/digital-forensics
Ensure you have your API key from the ToolWeb portal to handle authentication for the Professional or Enterprise tiers.
The Digital Forensics Tools Assessment skill manages data through a structured JSON schema focusing on assessment metadata and tool taxonomy.
| Object | Description |
|---|---|
| assessmentData | Contains experience, focus areas, and skill_level attributes. |
| recommended_tools | Array of objects including match_score, category, and learning_curve. |
| skill_gaps | Maps current_level against recommended_level with a priority status. |
| tools_metadata | Comprehensive list of tool IDs, platform_support, and license_type. |
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