# Evaluate Evidence

> Assess how well evidence supports claims

- Skill: `synapseradio/evaluate-evidence` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add synapseradio/evaluate-evidence`
- Raw SKILL.md: https://api.skillmd.com/api/skills/synapseradio/evaluate-evidence/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: synapseradio (https://skillmd.com/u/synapseradio)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/synapseradio/evaluate-evidence

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Follow these steps:

### 1. Identify the claim precisely

State what is being asserted with enough specificity to be testable. Separate bundled claims into distinct assertions.

### 2. Inventory the evidence

Catalog what evidence is actually offered:

- Direct or indirect support
- Primary or secondary source
- Quantitative or qualitative data

### 3. Assess evidence quality

- **Source reliability**: expertise and potential bias
- **Data quality**: sample size and methodology
- **Currency**: how recent
- **Convergence**: do multiple independent sources agree
- **Directness**: does it support the claim directly or require inferential leaps

### 4. Look for counter-evidence

Actively seek contradicting evidence, alternative explanations for the same observations, and relevant evidence that may have been omitted.

### 5. Rate the support level

- **Strong**: multiple high-quality direct sources converge
- **Moderate**: solid evidence with some gaps or conflicts
- **Weak**: limited, indirect, or questionable evidence
- **Unsupported**: speculation lacking substantive evidence

### 6. Note confidence boundaries

Identify what assumptions must hold for the claim to be valid, and what additional evidence would meaningfully strengthen or weaken it.