---
name: yogsoth-ai/evidence-scout
source: https://app.decimal.ai/s/yogsoth-ai-evidence-scout@1/SKILL.md
source_sha256: 556e74b7a580
---

# Evidence Scout

Searches for external evidence supporting or opposing claims.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Evidence gathering requires web search and paper lookup in dedicated context. Isolated execution prevents search results from biasing ongoing debate reasoning.

## Input

- **claims_to_evidence**: Specific claims needing external evidence
- **stance**: Whether to search for supporting or opposing evidence (pro/con)
- **search_budget**: Number of searches allowed (2/5/10 based on campaign budget)

## Output

- **evidence_items**: List of evidence found (source, content, relevance score)
- **evidence_quality**: Assessment of each source's reliability
- **coverage**: Which claims have evidence vs. which remain unevidenced

## Budget

One unit = one evidence gathering pass (multiple searches within budget).

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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. |
| stress-test-paper-overview | Paper landscape scan returning abstracts and metadata. Import of literature-engine/paper-overview skill. Abstracts only — no conclusions from abstracts. |
| stress-test-web-search | Quick web scanning for landscape understanding. Import of web-browsing/web-search skill. Snippets only — no conclusions from snippets alone. |

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