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在 OpenClaw 中安装
/install runninghub-skill
功能描述
RunningHub AI 智能调用。Use when user wants to generate images, videos, or audio content.
安全使用建议
This skill is a wrapper around a separate project (RHMCP) and asks you to clone and run that external code. That means: 1) Inspect the RHMCP repository and the included executor.mjs before running npm install or node — running npm install/build executes arbitrary third-party code. 2) Be cautious where you set RHMCP_CONFIG and create service.json/.env — the executor reads files from those directories (apps.json, service.json) and could process any local config placed there. 3) The only declared credential is RUNNINGHUB_API_KEY (expected), but the code also uses RHMCP_CONFIG (not declared); avoid pointing it at directories that contain other secrets. 4) Prefer testing in an isolated environment (container or VM), and avoid running these install steps as root. 5) If you want minimal risk, request a version of the skill that calls RunningHub APIs directly (no external repo clone) or provide an official install package/release rather than free-form git clone + npm install.
功能分析
Type: OpenClaw Skill
Name: runninghub-skill
Version: 1.0.0
The skill bundle is a legitimate integration for the RunningHub AI platform, providing an AI agent with the necessary logic and metadata to generate images, videos, and audio content. The SKILL.md file contains clear instructions for the agent on mapping user requests to specific tool calls and managing multi-step workflows, while the executor.mjs script serves as a helper for configuration management and decision-making. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found, and all components are consistent with the stated purpose of the skill.
能力评估
Purpose & Capability
Name/description (RunningHub integration for image/video/audio generation) align with requiring a RUNNINGHUB_API_KEY and providing wrappers for apps like qwen-text-to-image. However the skill also requires/assumes a full RHMCP project to be cloned and built and references an OpenClaw MCP configuration (editing ~/.openclaw/openclaw.json). Asking the user to install a separate server project and to point the agent at it is heavier-weight than a simple API wrapper and expands the attack surface.
Instruction Scope
SKILL.md explicitly instructs cloning https://github.com/AIRix315/RHMCP, running npm install and npm run build, creating service.json and .env, and editing OpenClaw config. The included executor.mjs reads local files (service.json, apps.json, recommended-apps.json), and tries multiple directories (RHMCP_CONFIG, repo root, cwd). The runtime instructions therefore direct the agent/operator to download and run remote code and to read local config files beyond the declared env var. The skill's instructions also refer to RHMCP_CONFIG and file paths not declared in requires.env, which is a scope mismatch.
Install Mechanism
No formal install spec in registry, but README/SKILL.md tell users to git clone and run npm install/build on an external GitHub repo (RHMCP). That pulls and executes third-party code on the user's machine. Because this is an out-of-band install (not vetted by the registry), it increases risk and should be treated carefully.
Credentials
The declared required env var is RUNNINGHUB_API_KEY (appropriate for RunningHub). However the code and docs also reference RHMCP_CONFIG and expect a service.json/.env in the RHMCP directory; RHMCP_CONFIG is not declared in requires.env. The executor reads local files (service.json, apps.json) from multiple directories, which could cause the skill to consume or expose unrelated local configuration if RHMCP_CONFIG is pointed broadly. Overall the number and nature of config/env accesses are larger than declared.
Persistence & Privilege
always is false and disable-model-invocation is default (agent may call it autonomously). The skill's docs instruct manual edits to ~/.openclaw/openclaw.json to register the MCP server — that requires user action but would modify agent configuration if followed. The skill itself does not request permanent elevated privileges in metadata, but its installation instructions encourage changing agent config and running a long-lived local service, which increases persistence and attack surface if misused.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install runninghub-skill - 安装完成后,直接呼叫该 Skill 的名称或使用
/runninghub-skill触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of rhmcp-skill (RunningHub AI integration):
- Provides tools to generate images, videos, and audio content via RunningHub AI.
- Agent decision logic for common user requests like text-to-image, image-to-image, and app listing.
- Async job handling with polling strategies for long tasks.
- Outlines parameter mapping, error codes, and failover strategies.
- Includes example workflows, storage guidelines, recommended templates, and troubleshooting tips.
元数据
常见问题
rh-skill 是什么?
RunningHub AI 智能调用。Use when user wants to generate images, videos, or audio content. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 132 次。
如何安装 rh-skill?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install runninghub-skill」即可一键安装,无需额外配置。
rh-skill 是免费的吗?
是的,rh-skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
rh-skill 支持哪些平台?
rh-skill 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 rh-skill?
由 AIRix315(@airix315)开发并维护,当前版本 v1.0.0。
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