← 返回 Skills 市场
204
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install virse
功能描述
Virse AI Design Platform — AI image generation, canvas layout, workspace management, and asset organization. Use this skill whenever the user mentions Virse,...
安全使用建议
This skill appears to be a legitimate client for a Virse design service, but there are some mismatches you should consider before installing:
- Credentials not declared: The registry metadata lists no required env vars, yet the scripts read VIRSE_API_KEY (or ~/.virse/token) and accept VIRSE_BASE_URL. Expect to provide an API key or to use interactive device-flow login for the skill to work. Treat any API key as sensitive.
- Token file behavior: The tool can write a token to ~/.virse/token via 'save-key'. If you don't trust the skill, do not use save-key; prefer the interactive device-login flow and avoid storing long-lived keys on disk.
- Network endpoints: Default base URL is https://dev.virse.ai (development host). Confirm whether you want calls to this host. If you are concerned about redirected endpoints, do not set VIRSE_BASE_URL or verify its value before use.
- Broad data access: Several playbooks (e.g., cross-workspace-collect, workspace-scan) will enumerate and read many assets — review and confirm scans before allowing them to run.
- Unknown origin: The skill lists no homepage and the registry owner ID is unfamiliar. If you require higher assurance, review the scripts (they are included) or run them in a sandboxed environment first.
Actionable steps: review the virse_call.py and check_update.py source (already bundled), decide whether to provide an API key, prefer device-flow interactive login when possible, avoid using save-key unless you trust the skill, and consider running in a restricted/sandboxed agent or with least-privilege credentials. If you want higher confidence, ask the publisher for provenance (repo/homepage) or for metadata to explicitly declare the required env vars and their purpose.
功能分析
Type: OpenClaw Skill
Name: virse
Version: 1.0.0
The 'virse' skill bundle is a legitimate integration for the Virse AI Design Platform, providing tools for AI image generation, canvas management, and asset organization. The core logic is contained in `virse_call.py`, which acts as an MCP client communicating with `dev.virse.ai` using OAuth Device Flow or API keys stored locally in `~/.virse/token`. The bundle includes helper scripts for graph analysis and update checking (`check_update.py` via GitHub API), and the instructions in `SKILL.md` correctly guide the agent through authentication and complex design workflows without any evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name, description, playbooks and tools consistently implement a Virse design platform client (workspace/canvas management, image generation, asset organization). The included scripts and playbooks align with that stated purpose.
Instruction Scope
Runtime instructions tell the agent to call the local virse_call client (python script) which performs network calls to the Virse MCP endpoint and to read/save a token file (~/.virse/token) or use an env var. Playbooks also instruct broad scans (e.g., scanning all workspaces) which can enumerate and read many assets; those are in-scope for a workspace management skill but increase data access surface. The SKILL.md does not instruct reading unrelated system files, but several scripts will run subprocess/git/network checks if invoked.
Install Mechanism
No install spec — instruction-only + shipped scripts. This minimizes automatic disk writes on install. The code files are present but no remote download/installation is performed by the registry metadata.
Credentials
Metadata lists no required env vars or credentials, but the code clearly reads/writes credentials: VIRSE_API_KEY (env), VIRSE_BASE_URL (env), and a token file at ~/.virse/token. The skill will send Authorization headers to dev.virse.ai and can save tokens locally via 'save-key'. The omission of these required credentials from the declared metadata is an incoherence and increases risk because the agent may access or require secrets that weren't disclosed up-front.
Persistence & Privilege
always:false (normal). The skill can save a token to ~/.virse/token via its save-key flow and uses the device-flow login flow that requires showing a verification URL to the user. The skill does not request system-wide config changes or modify other skills, but because agent invocation is allowed, the skill can make network calls and read/write the token file during runtime if the user provides credentials.
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 virse - 安装完成后，直接呼叫该 Skill 的名称或使用
/virse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 the Virse skill for AI-driven visual design workflows.
- Provides tool routing and workflow support for the Virse AI Design Platform: workspace management, canvas operations, AI image generation, and asset organization.
- Offers direct tool calls for common requests (e.g. generate image, show workspaces, check balance, search images).
- Integrates with playbooks and workflow examples for complex creative tasks and multi-stage pipelines.
- Includes built-in guidance for model selection, prompt crafting, layout algorithms, and asset search strategies.
- Handles authentication and user verification within the workflow.
- Suitable for all visual design tasks involving canvases, AI image generation, and creative asset management.
元数据
常见问题
Virse Design 是什么？
Virse AI Design Platform — AI image generation, canvas layout, workspace management, and asset organization. Use this skill whenever the user mentions Virse,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 204 次。
如何安装 Virse Design？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install virse」即可一键安装，无需额外配置。
Virse Design 是免费的吗？
是的，Virse Design 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Virse Design 支持哪些平台？
Virse Design 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 Virse Design？
由 vxcent（@vxcent）开发并维护，当前版本 v1.0.0。
推荐 Skills