Observability

Observability Skill

Check whether the user's actual behavior aligns with their stated values and cognitive model.

When to Use

• User asks to check alignment between their stated values and actual behavior
• After every 3-5 significant decision-making conversations
• When user_dna.json hasn't been reviewed in 30+ days
• User mentions drift, contradiction, or "anything changed?"
• After major life/work changes that might shift values

The Three Checks

1. Value-Behavior Mismatch Detection

Compare recent conversation patterns against state/user_dna.json values.

Process:

1. Read state/user_dna.json — the user's stated values, beliefs, criteria
2. Review recent conversation history for decision patterns, emotional responses, expressed preferences
3. Flag where actual behavior diverges from stated values

Output format:

### 行为一致性检查

**stated**: 最看重 autonomy（自主） — score 9/10
**observed**: 最近 3 次重大决策都是征求他人意见后做出的，没有一次独立拍板
**gap**: 中等 — 可能环境因素（团队协作需要）暂时压制了自主偏好，也可能是分值需要调整

What to ask: "你在 user_dna 里把自主排最高（9分），但最近几次决策你都是协作模式。是环境因素还是你的偏好变了？"

2. Blind Spot Check

Identify patterns the user's belief system may be filtering out.

Process:

1. Read state/user_dna.json beliefs with confidence scores
2. Look for recent conversations where an alternative perspective was dismissed or not considered
3. Flag beliefs that may be creating blind spots

Output format:

### 盲点检查

**belief**: "深度理解底层原理比快速应用更重要" (confidence: 0.9)
**observation**: 最近 2 次因为追求理解底层而错过了截止时间
**pattern**: 这个信念让你看到了深度，但可能让你忽略了时机窗口
**question**: "有没有什么情况，快速行动比深度理解更值得？"

3. Criteria Drift Detection

Track whether the user's decision criteria have shifted over time.

Process:

1. Compare current decision patterns against user_dna.json criteria
2. Note any new criteria that emerged in recent decisions
3. Flag stale criteria that no longer drive decisions

Output format:

### 决策标准漂移

**新的标准**: "团队文化匹配" — 最近 3 次选择中都提到了这个，但 user_dna 里没有
**冷却的标准**: "技术先进性" — 以前排很高，最近 5 次决策都没提到
**建议**: 更新 criteria，添加 team_culture_fit，降低 tech_advancement 权重

Config Metadata Check

Also check user_dna.json consistency:

Report Format

## 观测报告

**User DNA 版本:** v1 (extracted 2026-07-31)
**检查范围:** 最近 N 次对话

### 行为一致性
[summary of mismatches — all aligned, or flag specific drifts]

### 盲点
[blind spots surfaced from belief filtering — or "无显著盲点"]

### 决策标准漂移
[criteria that have shifted — or "标准稳定"]

### 建议
[actionable items ranked by priority]

Edge Cases

Key Files