Boost AI Accuracy: Model Registry Refresh for Claude & Codex

Boost AI Accuracy: Model Registry Refresh for Claude & Codex

This skill is designed to manage and update the model registry for AI agent skills like Claude Code and Codex. It ensures the most recent and validated model information is available, maintaining an accurate and trusted registry. This aids in preventing policy failures due to outdated or missing model data.

What this skill does

The Boost AI Accuracy skill follows a systematic procedure to refresh and validate the model registry:

• Verification and Extension: Re-verifies and extends the catalog/model-registry.json, which is crucial for maintaining the registry as a reliable source of truth for model names and reasoning-effort values.
• Policy Check Execution: Runs checks using the scripts/model-policy.mjs which operates on a fail-closed basis, ensuring new models are integrated only after successful validation.
• Research Delegation: Employs Context7-backed research through Haiku Explore agents to gather necessary documentation and update the registry with orchestrator-approved edits.
• Validation Chain Utilization: Ensures a comprehensive validation chain is in place for any changes applied to the model registry.
• Staleness Check: Conducts a quarterly review to ensure registry data freshness, particularly when providers introduce new models or retire old ones.

Who it is for

This skill is intended for developers and teams using AI coding agents, specifically those managing environments utilizing Claude Code, Cursor, and Codex. It is particularly useful for operators responsible for AI model deployments and maintenance.

Use cases

• Automatically updating the model registry when a new AI model from providers like OpenAI or Anthropic is introduced.
• Detecting and preventing potential deployment issues resulting from outdated or incorrect model registry entries.
• Establishing a scalable process for periodic review and updates to the AI model registry.

Technical details

The skill leverages the Context7 MCP tools and Haiku Explore agents for efficient documentation sourcing and validation. It facilitates systematic updates to the model registry by integrating scripts that perform fail-closed checks against model-policy.mjs, ensuring that only verified models are utilized.

Source & Licence

This package is built on open-source work published by VincentChuWaiChow (VincentChuWaiChow/vanguard-frontier-agentic) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be 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.