---
name: yogsoth-ai/publication-bias-assessment
source: https://app.decimal.ai/s/yogsoth-ai-publication-bias-assessment@1/SKILL.md
source_sha256: e7d1291d4cbc
---

# Publication Bias Assessment SOP

Design the complete publication bias detection and adjustment protocol using visual, statistical, and model-based methods.

## When to Use

- After effect sizes are extracted (need precision estimates)
- When assessing GRADE certainty (publication bias domain)
- When deciding whether pooled estimate may be inflated

## Input

- `effect_size_distribution`: Summary of extracted effect sizes and their precision
- `study_count`: Number of included studies (determines which methods are feasible)

## Output

Complete publication bias assessment protocol with method selection justified by study count and data characteristics.

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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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