← 返回 Skills 市场
hqman

Qveris

作者 Kai Wang · GitHub ↗ · v0.1.0
cross-platform ⚠ suspicious
12078
总下载
7
收藏
0
当前安装
1
版本数
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
Install only if you are comfortable with the agent using QVeris as a broad remote tool gateway. Use a dedicated QVerIS API key, avoid sending secrets or regulated personal/business data, and review the selected tool ID, provider, and parameters before execution; disabling auto-invoke or requiring confirmation would reduce accidental external calls.
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
Purpose & Capability
The artifacts coherently describe a QVeris API gateway for searching and executing dynamic tools, but the capability is intentionally broad and can execute any discovered external tool without an artifact-defined allowlist or side-effect classification.
Instruction Scope
SKILL.md sets auto_invoke to true and includes broad triggers such as analysis, data, stock, trading, pe, and pb; the workflow tells the agent to search, select, and execute tools but does not require explicit user confirmation before remote calls.
Install Mechanism
Installation is user-directed, requires uv, and asks the user to set QVERIS_API_KEY. The curl and PowerShell uv installer commands are disclosed prerequisite steps, not hidden runtime behavior.
Credentials
Network access and QVERIS_API_KEY are proportionate to a QVeris client, but queries and execution parameters are sent to qveris.ai and may be forwarded to downstream tools with limited privacy, retention, redaction, or sensitive-data guidance.
Persistence & Privilege
No artifact evidence shows persistence, background workers, privilege escalation, broad local indexing, destructive file actions, or access to local credential/session stores beyond reading QVERIS_API_KEY.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install qveris
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /qveris 触发
  4. 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
Slug qveris
版本 0.1.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
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 12078 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。

💬 留言讨论