# Leaderboard Dynamics Analysis

> Analyze leaderboard score distributions, compression, selective reporting

- Skill: `yogsoth-ai/leaderboard-dynamics-analysis` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/leaderboard-dynamics-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/leaderboard-dynamics-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/leaderboard-dynamics-analysis

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# Leaderboard Dynamics Analysis SOP

Analyze the dynamics of benchmark leaderboards: score distributions, compression over time, selective reporting patterns, and statistical artifacts.

## Input

- **leaderboard_data**: Structured data with (model_name, score, date, optional: model_size, paper_reference)

## Procedure

1. Compute score distribution statistics over time
2. Detect score compression (shrinking gap between top models)
3. Identify selective reporting patterns (cherry-picking, subset selection)
4. Analyze relationship between model size and score
5. Detect anomalies (withdrawn results, unreplicated claims)

## Output

Leaderboard health assessment with statistical evidence.

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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

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