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Qveris Skill
by
yifeiwang1981
· GitHub ↗
· v1.0.0
· MIT-0
49
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install qveris-skill
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 tr...
Usage Guidance
Before installing: (1) note the registry metadata is inaccurate — the skill expects QVERIS_API_KEY in your environment; confirm you are comfortable providing that API key and understand its scope. (2) Verify you trust https://qveris.ai and the author; the script will send requests and any tool execution goes through their service. (3) The README suggests installing 'uv' via curl | sh (astral.sh) — prefer installing tooling from package managers you trust or inspect the install script before running. (4) Run the skill in a contained environment (VM/container) or with a limited-scope API key first. (5) Ask the publisher to fix the registry metadata to declare QVERIS_API_KEY so permission prompts are accurate. If you need higher assurance, review network traffic or have an admin vet the qveris.ai API and the API key's permissions.
Capability Analysis
Type: OpenClaw Skill
Name: qveris-skill
Version: 1.0.0
The qveris-skill is a legitimate API client designed to interface with the QVeris platform (qveris.ai) for dynamic tool discovery and execution. The Python script `scripts/qveris_tool.py` uses the `httpx` library to perform search and execution requests against the official API endpoint, requiring a user-provided `QVERIS_API_KEY`. The skill's instructions in `SKILL.md` and the implementation logic are consistent with its stated purpose of providing financial and general data tools, with no evidence of data exfiltration, malicious execution, or obfuscation.
Capability Tags
Capability Assessment
Purpose & Capability
The skill name, description, README, SKILL.md, and the included script all consistently implement 'search and execute tools via QVeris API' and make HTTPS calls to https://qveris.ai. That capability matches the stated purpose. However, the registry metadata claims no required environment variables or primary credential, while SKILL.md and the script both require QVERIS_API_KEY — an inconsistency in declared requirements.
Instruction Scope
Runtime instructions (SKILL.md) direct the agent to search and execute remote tools via the QVeris API and specify the QVERIS_API_KEY. The included CLI only performs network calls to the qveris.ai API and prints results; it does not attempt to read unrelated system files, other env vars, or arbitrary local config. Auto-invocation triggers target stock/trading/analysis queries which is coherent with the use-case.
Install Mechanism
There is no formal install spec (instruction-only skill), which lowers risk. The repo includes a Python script and pyproject dependency (httpx). The README recommends installing 'uv' using a curl|sh installer (astral.sh), which is a common but higher-risk pattern because it runs remote install scripts. No other external downloads or obscure URLs are present in the packaged files.
Credentials
The script and SKILL.md require a QVERIS_API_KEY environment variable (used as a Bearer token to qveris.ai). That credential is proportionate to the declared function. However, the registry metadata incorrectly lists no required env vars/credentials — this mismatch is concerning because metadata is what permission prompts and installers rely on. Users could be surprised when asked for an API key.
Persistence & Privilege
The skill does not request permanent/always-on status, does not modify other skill configurations, and does not persist credentials or change system-wide settings. Auto-invocation is enabled via trigger patterns in SKILL.md (expected for a user-invocable tool), but that is not an elevated privilege on its own.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install qveris-skill - After installation, invoke the skill by name or use
/qveris-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Qveris Skill 1.0.0 – Initial Release
- Provides dynamic tool discovery and execution through the QVeris API.
- Detects and handles queries related to stocks, trading, analysis, and market indicators.
- Supports searching for tools by describing needed capabilities, then executing selected tools with parameters.
- Includes example commands and detailed usage for weather, stock, and various data APIs.
- Requires a QVERIS_API_KEY environment variable for operation.
Metadata
Frequently Asked Questions
What is Qveris Skill?
Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock tr... It is an AI Agent Skill for Claude Code / OpenClaw, with 49 downloads so far.
How do I install Qveris Skill?
Run "/install qveris-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Qveris Skill free?
Yes, Qveris Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Qveris Skill support?
Qveris Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Qveris Skill?
It is built and maintained by yifeiwang1981 (@yifeiwang1981); the current version is v1.0.0.
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