Incorporate a new judgment into the rating model and return updated ratings for all candidates.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: rating-update
description: Incorporate a new judgment into the rating model and return updated ratings for all candidates.
execution: subagent
prompt: ./prompt.md
input: judgment(object), current_ratings(object), method(string)
used-by: pairwise-ranking
---
# Rating Update
Incorporates a new pairwise judgment into the current rating model. Applies the specified method's update rules (Bradley-Terry MLE, Elo K-factor, TrueSkill Gaussian update, etc.) and returns the full updated rating vector.
## Execution
Runs as a subagent. Receives judgment, current ratings, and method specification, returns updated ratings.
## Why Subagent
Rating updates involve mathematical computation specific to the chosen method. Isolating this ensures correct application of update formulas without mixing method-specific logic into orchestration.
## HARD-GATE
Output MUST contain updated ratings for ALL candidates (not just the compared pair). The winner's rating MUST increase or stay the same. The method field MUST match the input method.
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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...