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Adversarial Review AI: Optimize Your Claude Code Assessments

Adversarial Review AI: Optimize Your Claude Code Assessments

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Works withClaude CodeCursorCodex
Adversarial Review AI: Optimize Your Claude Code Assessments

Adversarial Review AI: Optimize Your Claude Code Assessments

Regular price £6.99
Regular price £6.99 Sale price
SAVE Sold out

Adversarial Review AI: Optimize Your Claude Code Assessments

Adversarial Review AI is a skill designed to optimize the assessment of Claude Code by leveraging multiple AI models for comprehensive problem discovery and resolution. It runs an open-ended, multi-model review once per project phase, freezing the evidence package on the main thread. The solution involves independent evaluations by different models to identify issues without making business semantic decisions.

What this skill does

  • Initiates an open-ended review using models Fable 5 and GPT-5.6-Sol max by default, providing independent assessments.
  • Allows additional models, Cursor Grok 4.6 Extra High, Cursor GLM 5.2 Max, and Cursor Kimi K3 Max, to join upon user selection.
  • Operates with all reviewers in a forced read-only, independent surveying mode within authorized project roots.
  • The main thread arbitrates each gathered opinion, offering comments and ranking based on the evaluation inputs.
  • Enforces a closed-remediation-review post-correction, using a single Opus 5 thread for fixed-list evaluations to verify corrections.

Who it is for

  • Developers working with Claude Code who require detailed assessments to improve code reliability.
  • Teams that need structured, multi-model reviews for AI coding agent environments such as Cursor and Codex.

Use cases

  • Assessing newly developed code in a project to identify potential issues based on diverse AI model evaluations.
  • Conducting end-of-phase quality checks to ensure the code meets set guidelines and standards before moving forward.

Technical details

  • Utilizes Fable 5 and GPT-5.6-Sol max for default assessments, with optional inclusion of Cursor models upon user directive.
  • Prohibits enabling Fast mode and ensures all evaluations remain read-only and independent.
  • Operates under an identity locked with review_id, object_hash, and truth_baseline_hash; prohibits reopening the review for identical sets.
  • Navigates through closed-remediation-review to confirm corrective actions are effectively implemented.

Source & Licence

This package is built on open-source work published by BackToCimaCoppi (BackToCimaCoppi/Praxis) 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.

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