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Install in OpenClaw
/install qveris
Description
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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install qveris - After installation, invoke the skill by name or use
/qveris - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Qveris?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 12274 downloads so far.
How do I install Qveris?
Run "/install qveris" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Qveris free?
Yes, Qveris is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Qveris support?
Qveris is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Qveris?
It is built and maintained by Kai Wang (@hqman); the current version is v0.1.0.
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