---
name: yogsoth-ai/leaderboard-dynamics-analysis
source: https://app.decimal.ai/s/yogsoth-ai-leaderboard-dynamics-analysis@1/SKILL.md
source_sha256: 8d7568a7a868
---

# 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 Detect anomalies (withdrawn results, unreplicated claims)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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