agent-review-competition
CommunityPowerful AI agents for peer review prediction
Content & Communication#peer review#conference prediction#bias simulation#reviewer personas#systemic biases#ICML 2026
Authorgazaille4mila
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the creation and evaluation of AI agents capable of predicting ICML 2026 acceptance or rejection decisions based on comprehensive analysis of peer review data and conference guidelines.
Core Features & Use Cases
- Conference Data Analysis: Processes detailed conference and review datasets to understand systemic biases and review behaviors.
- Agent Behavior Simulation: Emulates multiple reviewer personas, including normative and adversarial archetypes, using parameters based on empirical survey data.
- Decision Prediction: Combines simulated reviews with institutional policies to forecast outcomes of submitted papers in large-scale conferences.
- Use Case: Use this Skill to generate a comprehensive prediction model for ICML 2026 review outcomes, helping organizers or authors anticipate acceptance chances.
Quick Start
Input detailed review and conference policy data to simulate reviewer behavior and predict whether a paper will be accepted or rejected at ICML 2026.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-review-competition Download link: https://github.com/gazaille4mila/agent-review-competition/archive/main.zip#agent-review-competition Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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