An AI-powered skill that converts technical SBOM data into prioritized, human-readable risk assessments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sbom-explainer
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 sbom-explainer 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 SBOM Explainer?
SBOM Explainer is a specialized utility within the Openclaw Skills ecosystem designed to bridge the gap between technical dependency manifests and stakeholder understanding. It takes complex Software Bill of Materials (SBOM) or dependency lists and translates them into plain-language risk explanations. By sorting issues based on their impact area, it provides a clear picture of a project's security posture without requiring manual CVE research.
This skill is built for developers and security leads who need to communicate technical debt and vulnerabilities to non-technical teams. It ensures that every dependency risk is accounted for, categorized by severity, and accompanied by actionable mitigation advice, making it an essential component for any professional using Openclaw Skills.
SBOM Explainer Use Cases
- Converting technical SBOM JSON/XML files into readable executive summaries.
- Prioritizing dependency risks based on their actual impact on the software stack.
- Generating mitigation strategies and communication paths for security vulnerabilities.
- Creating structured risk reports during the software auditing process.
How SBOM Explainer Works
- The skill ingests user-provided information such as SBOMs, dependency lists, or known vulnerability reports.
- It reorganizes the input into a structured task book to ensure comprehensive analysis.
- The engine maps identified dependencies against impact surfaces defined in the local specification.
- It generates a draft 'reviewable' report first, followed by an actionable execution checklist.
- If high-risk or compliance issues are found, the skill explicitly adds boundary explanations and warnings.
SBOM Explainer Setup
To use this skill within your Openclaw Skills environment, ensure you have Python 3 installed. You can trigger the analysis using the following command structure:
python3 "scripts/run.py" --input <input_file> --output <output_file>
If the execution environment does not allow shell scripts, the skill will automatically fall back to generating text based on the internal resource templates.
SBOM Explainer Data Schema & Taxonomy
The SBOM Explainer organizes its logic and output using the following schema:
| File/Resource | Purpose |
|---|---|
| resources/spec.json | Contains the technical specifications and risk mapping logic. |
| resources/template.md | The standard Markdown structure for the generated risk report. |
| examples/ | Sample input and output data for reference. |
| tests/smoke-test.md | Verification files for ensuring analysis consistency. |
SBOM Explainer Advanced Features
- Impact-based sorting to focus on the most critical vulnerabilities first.
- Automated fallback to template-based generation when script execution is restricted.
- Explicit 'Pending Confirmation' lists to prevent AI hallucinations when data is missing.
- Structured communication paths to help teams report findings to management or clients.
SKILL.md
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