Individual skill

update-pairwise-rating

Update candidate latent ratings and uncertainty from sequential pairwise outcomes using an explicitly chosen Bradley-Terry/Elo/Glicko/TrueSkill-style update model.

skills/update-pairwise-rating/SKILL.md

Read pinned source

Source commit 41f752b8444ed9030dd9dc223c302ce874e51f83

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
Skill scan complete: Yes
Observed behavior: Not checked yet
Last checked: Nov 5, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings): 510
Repository last updated: Oct 23, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

academic-research Repository topic
deep-research Repository topic
literature-review Repository topic
mcp Repository topic
skill Repository topic
ai-scientist Repository topic
auto-research Repository topic
claude-code Repository topic
research-agent Repository topic
scientific-discovery Repository topic
engineering Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

SKILL.mdcore · 1,584 bytes

Read excerpt


# update-pairwise-rating
## Purpose
Update latent candidate ratings and uncertainty from a pairwise outcome using an explicitly chosen rating model.
## Input contract
```yaml
required: [prior_ratings, pairwise_outcome, rating_model, update_parameters]
optional: [rating_history, draw_policy, uncertainty_floor]
constraints: [model, outcome direction, confidence, and parameter values are recorded]
```
## Procedure
1. Validate the pairwise outcome and retrieve the two prior rating states.
2. Apply the declared Bradley-Terry, Elo, Glicko, TrueSkill, or equivalent update equations.
3. Update both ratings and uncertainty, preserving the pre-update state and the reason for the magnitude.
4. Emit the updated ratings, uncertainty change, and consistency flags for downstream audit.