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在 OpenClaw 中安装
/install qveris
功能描述
Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable.
安全使用建议
Review this skill before installing. It is intended to send search queries and execution parameters to QVeris and to call tools discovered there, so avoid using it with secrets, regulated data, or actions that could mutate accounts unless you explicitly trust QVeris and the downstream tools. Prefer safer uv installation methods over the documented pipe-to-shell commands, or verify installer integrity before running them.
功能分析
Type: OpenClaw Skill
Name: qveris
Version: 0.1.0
The skill is a client for the QVeris API, designed to search and execute dynamic tools. The `SKILL.md` provides clear instructions for the AI agent on how to use the skill, without any prompt injection attempts to subvert the agent's behavior. The `qveris_tool.py` script securely retrieves the `QVERIS_API_KEY` environment variable and uses it to authenticate with the legitimate `https://qveris.ai` endpoint. There is no evidence of unauthorized data exfiltration, persistence mechanisms, or arbitrary code execution on the local system. The `README.md` includes `curl | sh` instructions for installing `uv`, which is a standard installation method for that specific prerequisite from its official source (`astral.sh`) and not indicative of malicious intent within this skill bundle.
能力评估
Credentials
Runtime environment use is mostly proportionate: the script reads QVERIS_API_KEY, makes HTTPS requests to qveris.ai, and does not scan local files or use shell execution. However, query and parameter content can be transmitted externally as part of the core workflow.
Install Mechanism
Both English and Chinese READMEs recommend installing uv through curl-to-sh and PowerShell irm-to-iex with execution policy bypass. These commands are documented rather than run automatically by the skill, but they are high-impact setup instructions with no checksum, signature, pinning, or inspection step.
Instruction Scope
SKILL.md enables auto_invoke and uses broad finance and analysis triggers. The workflow asks users to review search results before execution, but the skill does not clearly require confirmation before sending user queries or parameters to QVeris or downstream tools.
Persistence & Privilege
The inspected artifact does not install services, scheduled tasks, shell hooks, persistent memory, privilege escalation, or background workers. The only persistence-like step is user-directed copying into a skills directory.
Purpose & Capability
The stated purpose is dynamic QVeris tool discovery and execution, and the Python code matches that purpose by sending searches and execution parameters to qveris.ai. The concern is breadth: the docs describe executing any discovered tool across weather, stocks, search, currency, and thousands more APIs, without an allowlist or clear data-handling boundaries.
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 qveris - 安装完成后，直接呼叫该 Skill 的名称或使用
/qveris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
v0.1.0
Initial release of the qveris skill:
- Enables search and execution of dynamic tools via the QVeris API with a single command-line script.
- Supports a wide range of use cases including weather, search, data retrieval, and stock trading analysis.
- Automatically detects relevant queries using trigger patterns for stocks, trading, analysis, and market indicators.
- Requires a `QVERIS_API_KEY` for authentication.
- Provides quick-start examples and detailed usage instructions for searching and executing tools.
- Includes example queries and session workflow for rapid onboarding.
元数据
常见问题
Qveris 是什么？
Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 12274 次。
如何安装 Qveris？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qveris」即可一键安装，无需额外配置。
Qveris 是免费的吗？
是的，Qveris 完全免费（开源免费），可自由下载、安装和使用。
Qveris 支持哪些平台？
Qveris 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 Qveris？
由 Kai Wang（@hqman）开发并维护，当前版本 v0.1.0。
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