Yuque Personal Stale Detector

Stale Detector — Yuque Knowledge Base Freshness Check

Scan your Yuque knowledge bases to detect documents that haven't been updated for a long time and may contain outdated information, helping you maintain a healthy and accurate knowledge base.

When to Use

• User wants to find outdated documents in their knowledge base
• User says "检查一下哪些文档过期了", "find stale docs", "我的知识库有哪些需要更新"
• User wants to do periodic knowledge base maintenance
• User says "帮我做个知识库健康检查", "哪些文档很久没更新了"

Required MCP Tools

All tools are from the yuque-mcp server:

• yuque_list_repos — List personal knowledge bases
• yuque_get_repo_toc — Get the table of contents with document metadata
• yuque_get_doc — Read document content to check for staleness signals

Workflow

Step 1: Select Knowledge Base

If the user specifies a repo, use it directly. Otherwise, list available repos:

Tool: yuque_list_repos
Parameters:
  type: "user"

Let the user pick which repo(s) to scan, or scan all if requested.

Step 2: Get Document List with Metadata

For each repo, get the table of contents:

Tool: yuque_get_repo_toc
Parameters:
  repo_id: "<namespace>"

Extract from each document entry:

• title — Document title
• slug — Document identifier
• updated_at — Last update timestamp
• created_at — Creation timestamp

Step 3: Classify Documents by Freshness

Calculate the age of each document (days since last update) and classify:

Step 4: Deep Scan Suspicious Documents (Optional)

For documents classified as 🟠 or 🔴, optionally read their content to check for additional staleness signals:

Tool: yuque_get_doc
Parameters:
  repo_id: "<namespace>"
  doc_id: "<slug>"

Look for:

• Version references — Mentions of specific software versions that may be outdated
• Date references — Hardcoded dates like "2023年计划", "Q1 目标"
• Broken patterns — References to tools, APIs, or processes that may have changed
• Temporal language — "目前", "最近", "即将" that imply time-sensitive content

Limit deep scanning to 5-10 documents to avoid excessive API calls.

Step 5: Generate Report

## 🔍 知识库健康检查报告

### 📚 扫描范围
- **知识库**：「知识库名称」
- **文档总数**：X 篇
- **扫描时间**：YYYY-MM-DD

---

### 📊 整体健康度

| 状态 | 数量 | 占比 |
|------|------|------|
| 🟢 新鲜（<90天） | X 篇 | XX% |
| 🟡 老化（90-180天） | X 篇 | XX% |
| 🟠 陈旧（180-365天） | X 篇 | XX% |
| 🔴 过期（>365天） | X 篇 | XX% |

**健康评分：X/10**

---

### 🔴 需要立即关注（过期文档）

| # | 文档标题 | 最后更新 | 已过天数 | 风险说明 |
|---|----------|----------|----------|----------|
| 1 | [标题](链接) | YYYY-MM-DD | X 天 | [如：包含版本号引用] |
| 2 | [标题](链接) | YYYY-MM-DD | X 天 | [如：含有时间敏感内容] |

### 🟠 建议检查（陈旧文档）

| # | 文档标题 | 最后更新 | 已过天数 |
|---|----------|----------|----------|
| 1 | [标题](链接) | YYYY-MM-DD | X 天 |
| 2 | [标题](链接) | YYYY-MM-DD | X 天 |

### 🟡 可以关注（老化文档）

[列出文档标题和更新时间，简要列表即可]

---

### 💡 维护建议

1. **优先处理**：[具体建议，如"XX 文档引用了 v2.x 版本，当前已是 v4.x"]
2. **批量更新**：[如"XX 板块的 X 篇文档都超过半年未更新，建议集中审查"]
3. **考虑归档**：[如"XX 文档可能已不再适用，建议归档或标记为历史文档"]
4. **定期检查**：建议每 [月/季度] 运行一次过期检测，保持知识库健康

---

### 📈 趋势观察

- **最活跃板块**：[哪个板块更新最频繁]
- **最冷门板块**：[哪个板块最久没动过]
- **更新模式**：[如"大部分更新集中在工作日"，"XX 板块有周期性更新"]

Guidelines

• Always answer in the same language the user used (Chinese or English)
• Be helpful, not alarming — old documents aren't necessarily bad (some content is evergreen)
• Distinguish between time-sensitive content (API docs, process guides) and evergreen content (principles, tutorials)
• Provide actionable suggestions — don't just list stale docs, suggest what to do about them
• When deep scanning, highlight specific outdated references (version numbers, dates, deprecated tools)
• This skill scans personal repos — for team repos, use the corresponding skill in the yuque-group plugin

Error Handling