A specialized framework for defining and enforcing role-based tool access for AI subagents to ensure safe and efficient task execution.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-subagent-toolset
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 openclaw-subagent-toolset using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Subagent Toolset is a robust framework designed to manage and constrain the capabilities of AI subagents within Openclaw Skills environments. By categorizing tasks into specific roles—such as Explore, Plan, Verification, Coding, and Secretary—developers can prevent AI agents from performing unauthorized or dangerous operations while ensuring they have the precise tools needed for the job.
This skill provides a structured methodology for role-based access control (RBAC) in AI agent swarms. It utilizes soft constraints within task prompts to guide LLM behavior, reducing the risk of unintended file modifications or unauthorized command execution during complex automated workflows. It is an essential component for developers building complex, multi-step AI agents that require strict operational boundaries.
To integrate the Subagent Toolset into your Openclaw Skills configuration, follow these steps:
# Example of a constraint injection for an Explore agent
PROMPT="You are an Explore-type sub-agent. You may only use the following tools: read_file, glob_search, grep_search, WebFetch, WebSearch, Skill. Forbidden: exec, sessions_spawn, edit, write."
The Subagent Toolset organizes permissions into distinct profiles. Below is the mapping used within Openclaw Skills:
| Profile | Primary Tools | Forbidden Tools |
|---|---|---|
| Explore | read_file, glob_search, WebFetch, WebSearch | exec, sessions_spawn, edit, write |
| Plan | read_file, TodoWrite, WebFetch, StructuredOutput | exec, sessions_spawn, edit, write |
| Verification | bash (read-only), read_file, PowerShell | sessions_spawn, edit, write |
| Coding | write_file, edit_file, bash, TodoWrite | None (Full Access) |
| Secretary | read_file, TodoWrite, SendUserMessage | exec, write, glob_search, grep_search |
Loading
A structural diagnostic skill used to identify and fix AI agent role misalignment, team gaps, and boundary issues before persona refinement.

A specialized skill for AI agents to perform systematic literature reviews and complex multi-step research synthesis.

A robust logging utility for Openclaw Skills that records tool call lifecycles to ensure security, accountability, and performance monitoring.

A specialized AI agent skill for solving complex physical equations and performing high-fidelity numerical simulations for scientific research.

A multi-layered memory architecture that combines semantic search with structured Markdown storage to maintain persistent AI agent context.

A professional-grade multimodal skill that enables AI agents to analyze images, read charts, and perform structured visual data extraction using Alibaba Cloud Qwen VL models.








































