据 AlphaMoat 统计,截至 2026-09,Smart Auto Updater 累计下载 4,479 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 2,157 位,在「运维安全」分类(264 个)中排名第 117 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 141 | 4,273 | 3 | - |
| SkillHub ↗ | 196 | 4,479 | 4 | — |
各平台的计数口径不同,统计时间不一致。
主文描述检查 OpenClaw 与技能更新、获取变更记录并评估系统影响,再按风险级别跳过、警告或自动更新。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。 该技能有同名的其他版本,调整前的数据归属当前下载量最大的这一个。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,479 | — | 4 |
| 2026-08 | 4,174 | +2.6% | 4 |
| 2026-07 | 4,070 | — | 4 |
| 2026-05 | 3,524 | — | 3 |
| 2026-03 | 2,718 | — | 3 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: smart-auto-updater description: Smart auto-updater with AI-powered impact assessment. Checks updates, analyzes changes, evaluates system impact, and decides whether to auto-update or just report. Perfect for hands-off maintenance with safety guarantees. --- # Smart Auto-Updater AI-powered auto-updater that intelligently decides whether to update based on impact assessment. Safe, intelligent, and configurable. ## What it does
### 1. Check Phase
- Checks for OpenClaw updates
- Checks for skill updates via ClawHub
- Fetches changelog and diff
### 2. AI Analysis Phase
- Analyzes changes using LLM
- Evaluates system impact (架构/性能/兼容性)
- Classifies risk level (HIGH/MEDIUM/LOW)
### 3. Decision Phase
| Risk Level | Action |
|------------|--------|
| **HIGH** | Skip update, send detailed report |
| **MEDIUM** | Skip update, send warning + report |
| **LOW** | Auto-update, send summary |
### 4. Report Phase
- Generates readable update report
- Includes risk assessment
- Provides upgrade recommendations
## Quick Start
### Basic usage
```bash
# Run smart update check
openclaw sessions spawn \
--agentId smart-auto-updater \
--message "Run smart update check"
```
### With custom parameters
```bash
openclaw sessions spawn \
--agentId smart-auto-updater \
--message "Check updates with custom settings: auto-update LOW risk, report MEDIUM risk"
```
## Configuration
### Environment Variables
```bash
# AI Model (optional, defaults to configured model)
export SMART_UPDATER_MODEL="minimax-portal/MiniMax-M2.1"
# Auto-update threshold (default: LOW)
# Options: NONE (report only), LOW, MEDIUM
export SMART_UPDATER_AUTO_UPDATE="LOW"
# Risk tolerance (default: MEDIUM)
# HIGH: Only auto-update LOW risk
# MEDIUM: Auto-update LOW + MEDIUM risk
# LOW: Auto-update all
export SMART_UPDATER_RISK_TOLERANCE="MEDIUM"
# Report level (default: detailed)
# Options: brief, detailed, full
export SMART_UPDATER_REPORT_LEVEL="detailed"
```
## Report Format
### High Risk Report
```
🔴 Smart Auto-Updater Report
Update Available: v1.2.3 → v1.3.0
⚠️ Risk Level: HIGH
📋 Changes Summary:
- Breaking API changes detected
- Database migration required
- 3 files modified
🏗️ Impact Assessment:
- Architecture: MAJOR changes to core components
- Performance: Potential impact on startup time
- Compatibility: Breaks backward compatibility
🚫 Decision: SKIPPED
💡 Recommendations:
1. Review changelog manually
2. Test in staging environment
3. Schedule maintenance window
🗓️ Next Check: 24 hours
```
### Low Risk Auto-Update
```
🟢 Smart Auto-Updater Report
Updated: v1.2.3 → v1.2.4
✅ Risk Level: LOW
📋 Changes:
- Bug fixes (2)
- Performance improvements (1)
🏗️ Impact Assessment:
- Architecture: No changes
- Performance: Minor improvement
- Compatibility: Fully compatible
✅ Decision: AUTO-UPDATED
📊 Summary:
- OpenClaw: v1.2.3 → v1.2.4
- Skills updated: 2
- Skills unchanged: 15
- Errors: none
⏱️ Next Check: 24 hours
```
## Architecture
```
┌──────────────────┐
│ Trigger (Cron) │
└────────┬─────────┘
│
▼
┌──────────────────┐
│ Check Updates │ ← clawhub update --dry-run
└────────┬─────────┘
│
▼
┌──────────────────┐
│ AI Analysis │ ← Analyze changes, assess risk
└────────┬─────────┘
│
┌────┴────┐
│ │
▼ ▼
┌───────┐ ┌───────┐
│ HIGH │ │ MEDIUM│
│ Skip │ │ Skip │
└───┬───┘ └───┬───┘
│ │
▼ ▼
┌───────┐ ┌───────┐
│ LOW │ │ Report│
│ Update│ │ Only │
└───┬───┘ └───────┘
│ │
└────┬─────┘
│
▼
┌──────────────────┐
│ Generate Report │ ← Send summary
└──────────────────┘
```
## Safety Features
1. **Dry Run First** - Always check before acting
2. **Risk Classification** - AI-powered impact assessment
3. **Configurable Thresholds** - Set your own risk tolerance
4. **Detailed Logging** - Every decision is logged
5. **Manual Override** - Always can review before updating
## Troubleshooting
### Updates keep being skipped
- Check risk tolerance setting
- Verify AI model is available
- Review changelog manually
### False positives (too many HIGH risk)
- Lower risk tolerance
- Check AI model prompts
- Review specific change patterns
### Reports not being delivered
- Verify delivery channel configuration
- Check gateway status
- Review session configuration
## References
- `references/risk-assessment.md` → AI risk assessment methodology
- `references/report-templates.md` → Report format examples
- `references/integration.md` → Integration with cron/jobs
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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。