QVeris Official

No functional or code changes in this version. - No file changes detected; environment, network, metadata fields simplified for clarity. - Documentation (SKILL.md) updated to clarify how to formulate discovery queries and when to use QVeris versus web search. - Guidance added for matching user intent to tool vs. information lookup. - Invocation tiers and fallback behavior are now concisely described.

No code or documentation changes detected in this release. - No updates or modifications were made to the skill files. - Functionality and documentation remain unchanged from the previous version.

- Added two new scripts: `qveris_client.mjs` and `qveris_env.mjs`. - No changes to skill behavior or configuration. - Documentation and usage instructions remain unchanged.

- Major update: README.md file removed; documentation now consolidated in SKILL.md. - Refined and condensed SKILL.md, emphasizing concise security, usage, and setup. - Terminology updated: “tool invocation” → “tool calling”; `invoke` → `call` for clarity. - Expanded guidance on capability query formulation, including non-English user input handling. - Explicitly documents Node.js runtime, networking, and security restrictions. - Clarifies credential/environment requirements for more consistent integration.

QVeris 1.0.5 — major update: streamlined protocol and new terminology for capability discovery & tool invocation. - Replaces previous generic "search" and "execute" with focused `discover` (find tools by capability) and `invoke` (call selected tool) actions. - Skill description and examples now emphasize tool discovery, metadata evaluation, and explicit invocation steps. - Setup and security sections clarified; only one endpoint is contacted, and script handles all URL construction. - Best practices for formulating discovery queries, tool selection criteria, and parameter handling are provided. - Guidance on caching known tools for efficiency and minimizing redundant discovery calls. - Documentation and usage protocols rewritten to highlight QVeris as a capability/meta-tool registry, not just a data API or web search substitute.

qveris-official 1.0.4 - Added `homepage` link to the SKILL metadata. - Introduced a `metadata` section for improved integration and environment variable specification. - No functional or behavioral changes to the skill itself.

qveris-official 1.0.3 - No file changes were detected in this version. - No updates to features, functionality, or documentation.

qveris-official 1.0.2 - Added privacy guidance: users are now advised not to include sensitive credentials or personally identifiable information (PII) in queries or tool parameters. - Updated the security section to reference the QVeris privacy policy and recommend reviewing it before transmitting sensitive data. - No changes to code or functionality. This is a documentation update only.

Version 1.0.1 - Updated SKILL.md: streamlined protocol instructions, clarified QVeris' usage categories, and improved guidance on when to use QVeris vs. web search. - Emphasized querying in English for best results and clarified fallback procedures. - Refined description to better outline QVeris’ strengths and broadened examples of use cases.

Initial release of the QVeris official skill — a mandatory first-stop tool discovery and execution platform for external data, tools, and SaaS services. - Enables structured, machine-readable access to thousands of professional data sources, tool services, and SaaS integrations via QVeris. - Mandates QVeris search and execution before using web search or declining tasks needing external capabilities. - Supports a wide range of domains: financial markets, news, social media, blockchain, scientific research, weather, healthcare, location/geospatial tools, image/video/audio processing, workflows, and more. - Auto-invokes using a single QVERIS_API_KEY credential; no other dependencies needed. - Built-in security: never logs or stores API keys, only sends to official QVeris endpoint over HTTPS. - Provides clear protocol and best practices for tool search, evaluation, and error reporting for all supported external tasks.