AI-Driven TRTC Skill Evaluation Tool for Quality Assessment

AI-Driven TRTC Skill Evaluation Tool for Quality Assessment

The AI-Driven TRTC Skill Evaluation Tool is designed to evaluate the quality of TRTC skills and their associated knowledge bases. It runs AI-generated code against a curated evaluation set, assessing static constraint compliance and runtime Software Development Kit (SDK) behavior. This tool is intended for internal use by TRTC knowledge maintainers to ensure skill efficacy and integrity.

What this skill does

• Loads a predefined evaluation set using the command `python scripts/selfcheck.py --phase=pre-run` to conduct a preliminary environment check.
• Filters evaluation cases according to user-specified criteria, which could include platform-specific or scope-specific conditions.
• Creates a unique directory for each run where all results and relevant evidence, such as run.manifest.json, are stored.
• Executes each evaluation case sequentially using the orchestrator and captures results for further analysis.

Who it is for

This evaluation tool is specifically designed for developers and teams maintaining or developing TRTC skills within AI coding environments such as Claude Code, Cursor, or Codex. Its detailed quality assessment features are crucial for ensuring that enhancements or changes to a skill meet expected performance and reliability standards.

Use cases

• Conducting quality checks and regression testing during the development or update of TRTC skills.
• Running benchmarks to compare different versions of a skill based on specific user queries or issues.
• Supporting internal development workflows by providing structured, repeatable evaluation processes.

Technical details

• Operates from the skill directory using the command-line interface for precise control over each evaluation phase.
• Generates evaluation output in a standardized directory format for consistency and ease of access.
• Integrates with AI coding platforms (Claude Code, Cursor, Codex) to provide skill-specific evaluation.

Source & Licence

This package is built on open-source work published by Tencent-RTC (Tencent-RTC/agent-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.