AI Agent Skill Benchmarking Tool for Claude Code & Codex
AI Agent Skill Benchmarking Tool for Claude Code & Codex
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AI Agent Skill Benchmarking Tool for Claude Code & Codex
AI Agent Skill Benchmarking Tool for Claude Code & Codex
The AI Agent Skill Benchmarking Tool is designed to precisely evaluate AI coding assistant skills by running discriminating-only assertions against evals.json for various models and agents. It supports a wide range of AI coding environments including Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex.
What this skill does
- Performs skill benchmarking on models not yet tested, using with_skill/without_skill evaluation pairs.
- Produces
benchmark-outcomes, highlighting pass rates and a list of discriminating assertions..json - Re-grades existing benchmark runs to maintain accuracy.
- Incorporates Phase 2 model comparison results into the evaluation process.
- Facilitates result review through the evaluation viewer, ensuring clarity and reliability.
- Maintains assertion hygiene by removing non-discriminating noise from
evals.json. - Upholds strict grader isolation and enforces evidence-only assertion passing to enhance accuracy.
Who it is for
This tool is ideal for developers and teams utilizing AI coding agents such as Claude Code, Cursor, Codex, Gemini CLI, GitHub Copilot, and similar platforms. It benefits those who require a comprehensive and precise benchmarking process for their AI agent skills.
Use cases
- Benchmarking a new AI coding skill across different models and agents.
- Reassessing the accuracy of previous benchmark results.
- Cleaning evaluation data by removing non-discriminating assertions.
- Updating project documentation with current benchmarking results.
Technical details
- Operates with any AI coding assistant capable of file reading and shell command execution.
- Compatible with multiple platforms, including Claude Code, Gemini CLI, GitHub Copilot, Cursor, and others.
- Ensures strict separation between response generation and grading processes.
- Produces output in
benchmark-, offering comprehensive benchmark insights..json
Source & Licence
This package is built on open-source work published by rusel95 (rusel95/ios-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.
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