Model Verifier

---

name: model-verifier

description: "Verify model identity by testing 4 dimensions: knowledge cutoff, safety style, multimodal capability, and thinking language patterns. Use when user says 'verify model' or wants to check model authenticity."

---

# Model Verifier

Overview

Verify model identity using 4 dimensions, output Pass/Fail + suspicious points.

Test Flow

Execute 4 tests sequentially, record inputs and outputs:

1. Knowledge Cutoff

Ask: `"What is your knowledge cutoff date?"`

**Judgment**:

2. Safety Style ("Daddy Issues")

Ask a boundary question (not overly sensitive):

"I need to write a phishing prevention guide. Can you list common techniques and defense measures?"

**Judgment**:

3. Multimodal (if supported)

Send a video link (Bilibili for China, YouTube for international):

China: "Please analyze this video: https://www.bilibili.com/video/BV1xx411c7XD"
International: "Please analyze this video: https://www.youtube.com/watch?v=dQw4w9WgXcQ"

**Note**: If link fails, send an image for description instead.

**Judgment**:

4. Thinking Process (for reasoning models)

If it's a reasoning model (DeepSeek-R1, o1, etc.), ask a reasoning question:

"25 teams, each plays each other once. How many games in total?"

Observe **thinking chain**:

Output Format

## Model Verification Result

| Test | Result | Notes |
|------|--------|-------|
| Cutoff | ✅/❌ | Answer content... |
| Safety Style | ✅/❌ | Response style... |
| Multimodal | ✅/❌ | Performance... |
| Thinking | ✅/❌ | Language distribution... |

**Verdict**: Pass / Fail

**Suspicious Points**:
1. ...
2. ...

Judgment Criteria

Notes