strength-assessment

Research

Tactic for assessing argument strength — evaluate evidence quality, count independent sources, check for defeaters, assign calibrated confidence scores.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/strength-assessment/SKILL.md

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Strength Assessment

Evaluate the strength of claims based on their evidential support.

Minimum Yield

Protocol

For each claim, gather all linked evidence (supporting and contradicting)
Evaluate evidence quality:
- Source reliability (peer-reviewed > preprint > blog)
- Directness (direct test > indirect inference > analogy)
- Independence (multiple independent sources > single source chain)
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)
Assign strength score (0-10) with explicit reasoning via strength-scoring
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 }

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.