Openclaw Control
Openclaw Control lets you command and monitor an OpenClaw AI assistant through a REST API. Send tasks, check health and session status, start or restart the gateway, and adjust configuration including model selection and hooks.
Openclaw Control sends commands to an OpenClaw AI assistant and monitors its operational status.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-16
Openclaw Control sends commands to an OpenClaw AI assistant and monitors its operational status. Openclaw Control lets you command and monitor an OpenClaw AI assistant through a REST API. Send tasks, check health and session status, start or restart the gateway, and adjust configuration including model selection and hooks.
Use it when
- Openclaw Control enables you to operate an openclaw robotic gripper system by sending commands through its REST API.
- Yes, Openclaw Control is designed to integrate with agent-based automation systems.
Install
RTGS2017/NagaAgent/openclaw-control · repository language: Python
generated, unverified - the skill's exact subdirectory could not be determined; check the repository on GitHub
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is Openclaw Control?
Openclaw Control is a skill that lets you command and monitor an OpenClaw AI assistant through a REST API. You can send tasks, check health and session status, start or restart the gateway, and adjust configuration including model selection and hooks. The skill operates under the AGPL-3.0 license.
How do I use openclaw to control robotic operations?
Openclaw Control enables you to operate an openclaw robotic gripper system by sending commands through its REST API. You can issue task instructions to the gripper, monitor its operational status in real time, and manage gateway restart cycles to maintain continuous operation of your robotic automation workflow.
Can Openclaw Control integrate with agent-based automation?
Yes, Openclaw Control is designed to integrate with agent-based automation systems. You can embed openclaw commands into your automation agents, allowing them to coordinate gripper operations as part of larger orchestrated workflows. The REST API interface makes it straightforward to connect openclaw with other automation tools.
What configuration options does Openclaw Control provide?
Openclaw Control lets you configure model selection, set up hooks for custom behavior, and adjust gateway parameters. You can also troubleshoot hardware issues by checking health status, reviewing session information, and restarting the gateway when needed to resolve connectivity or operational problems.
What commands and API methods are available in Openclaw Control?
Openclaw Control exposes a REST API with commands for task submission, health checks, session status queries, gateway management, and configuration adjustments. The API supports model selection changes, hook configuration, and gateway restart operations, enabling both direct control and programmatic integration into larger systems.
How do I set up and troubleshoot Openclaw Control?
Openclaw Control setup involves configuring your gateway, selecting your preferred model, and establishing API connectivity. For troubleshooting, check the gateway health status and session information through the API, restart the gateway if needed, and verify your configuration settings including hooks and model parameters are correctly applied.
Let your AI agent find skills like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 56,283 agent skills by what they can do, searchable in plain language.
wish › “Control and operate an openclaw robotic gripper system”
Give your agent the search over MCP, or paste the wish link into any chat. No install? Search from any chat →
Related skills
Live2d Controller manages character expression states through direct tool invocation, mapping five core emotional states—normal, happy, enjoy, sad, and surprise—to character animations. The skill triggers expressions only when genuine emotion shifts occur, avoiding redundant calls and keeping animation logic separate from response text.
Naga Control provides direct management of Naga's core functions—pause or resume voice and Live2D rendering, switch between models and characters, organize sessions and skills, control music playback, and toggle travel mode. Use it whenever you need to adjust Naga's runtime behavior or configuration.
Summarize extracts and condenses content into focused, digestible overviews. It identifies central ideas, ranks them by relevance, and presents findings in clear list format while maintaining objectivity. Ideal for quickly grasping essential information from lengthy materials.
This skill performs web searches to retrieve current information, news, and real-time data in response to user queries. It extracts key terms, executes searches, and organizes results with source attribution.
Solve delivers methodical problem-solving for mathematical and algebraic challenges. It clarifies your specific problem, analyzes root causes, and provides executable step-by-step solutions with attention to edge cases and best practices.
This skill examines user-provided information, messages, images, or content to assess credibility and detect fabrication. It cross-references claims against authoritative sources and evaluates information across multiple dimensions including source reliability, logical consistency, and manipulation tactics.
More skills Code Review (AGPL-3.0) · Document Writer (AGPL-3.0) · Naga Config (AGPL-3.0)