---
name: yogsoth-ai/strength-assessment
source: https://app.decimal.ai/s/yogsoth-ai-strength-assessment@1/SKILL.md
source_sha256: 47adc079a8ee
---

# Strength Assessment

Evaluate the strength of claims based on their evidential support.

## Minimum Yield

<HARD-GATE>
Must score ≥3 claims per invocation.
</HARD-GATE>

## Protocol

1. For each claim, gather all linked evidence (supporting and contradicting)
2. Evaluate evidence quality:
   - Source reliability (peer-reviewed > preprint > blog)
   - Directness (direct test > indirect inference > analogy)
   - Independence (multiple independent sources > single source chain)
3. Check for defeaters:
   - Undercutting defeaters (evidence that the support doesn't actually support)
   - Rebutting defeaters (evidence directly contradicting the claim)
   - Undermining defeaters (evidence that the evidence itself is unreliable)
4. Assign strength score (0-10) with explicit reasoning via `strength-scoring`
5. Flag claims with score < 3 as "weak" and claims with score > 7 as "strong"

## SOPs Used

- **strength-scoring** — assign and record strength scores
- **evidence-attachment** — create additional evidence links discovered during assessment

## Yield Report

Returns: `{ claims_scored: number, strong_claims: number, weak_claims: number, defeaters_found: number }`

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## Available SOPs

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

| SOP | When to use |
| --- | --- |
| evidence-attachment | SOP for attaching evidence to a claim — create typed edge (supported_by, contradicts, qualifies) with evidence quality metadata. |
| strength-scoring | SOP for assigning calibrated strength scores to claims — evaluate evidence weight, count independent sources, check defeaters, produce scored assessment. |

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