Tactic for assessing argument strength — evaluate evidence quality, count
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill strength-assessment --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: strength-assessment
description: Tactic for assessing argument strength — evaluate evidence quality, count
independent sources, check for defeaters, assign calibrated confidence scores.
execution: tactic
dependencies:
sops:
- evidence-attachment
- strength-scoring
---
# 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. |
<!-- END available-tables (generated) -->
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