A schema-driven scaffolding tool designed to generate, validate, and package standardized SharpAgent-compliant skills for the ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sharpagent-skill-contract
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 sharpagent-skill-contract 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 SharpAgent Skill Contract?
SharpAgent Skill Contract serves as the foundational framework for building robust and interoperable AI agent capabilities. By enforcing a strict YAML-based contract, this tool ensures that every skill follows a predictable structure, defining its inputs, outputs, and trust levels clearly. As part of the Openclaw Skills environment, it bridges the gap between raw code and reliable agent behavior by integrating five-factor trust verification and calibration framework hooks.
This skill is critical for developers who need to maintain high standards of quality and security within their agentic workflows. It provides the necessary infrastructure to upgrade legacy skills, perform semantic validation against known ontology types, and prepare packages for professional distribution. By using this standard, creators can ensure their contributions are compatible with the broader Openclaw Skills repository and the SharpAgent runtime.
SharpAgent Skill Contract Use Cases
- Creating a new SharpAgent-compliant skill from a standardized template
- Validating existing skills for structural and semantic contract compliance
- Packaging skills for professional publication within the Openclaw Skills ecosystem
- Upgrading legacy agent capabilities to meet modern SharpAgent safety and trust standards
How SharpAgent Skill Contract Works
- Initialize a new project using the scaffold command to generate the required directory structure and SKILL.md documentation.
- Define the machine-readable contract in YAML, specifying reads, writes, preconditions, and postconditions.
- Run the validation tool to check for structural integrity, naming conventions, and ontological consistency.
- Configure calibration modes and compliance levels to satisfy the safety requirements of the target jurisdiction.
- Package the verified skill into a distribution-ready archive for deployment or publication to Openclaw Skills hubs.
SharpAgent Skill Contract Setup
To get started with this tool, ensure you have a YAML parser and Python 3 or jq installed. You can scaffold a new project by running:
sharpagent scaffold --name [your-skill-name] --category [category]
To validate your contract, navigate to your skill directory and use:
sharpagent validate --path ./SKILL.md
SharpAgent Skill Contract Data Schema & Taxonomy
The tool utilizes a specific directory structure and a YAML contract block to manage skill metadata and runtime requirements. The core data structure includes:
| File | Description |
|---|---|
| SKILL.md | The primary documentation and contract source containing the YAML header. |
| contract.yaml | The machine-readable version of the skill contract, auto-derived from metadata. |
| scripts/ | Optional runtime scripts and logic for the skill. |
| references/ | Supporting documentation and research assets. |
| test/ | Validation tests to ensure runtime compliance. |
Key contract fields include versioning, trust levels (draft, verified, audited), and specific data types for reads and writes to ensure compatibility with Openclaw Skills standards.
SharpAgent Skill Contract Advanced Features
- Five-factor trust audit integration to verify skill reliability and security
- Support for custom calibration modes like warm, professional, or deep for tone control
- Jurisdictional compliance settings including CN, US, EU, and Global for regional safety standards
- Automated quality gates that block packaging if critical schema or versioning errors are found
- Multi-agent ontology support for consistent data exchange between different Openclaw Skills
SKILL.md
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