According to AlphaMoat, as of 2026-09, Smart Auto Updater has 4,479 downloads and 4 stars — ranked #2,157 of 5,078 AI skills overall, and #117 of 264 in IT Ops & Security.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 141 | 4.3K | 3 | - |
| SkillHub ↗ | 196 | 4.5K | 4 | — |
Platforms count differently and update at different times.
The primary describes checking OpenClaw and skill updates, retrieving changelogs and diffs, and evaluating system impact before skipping, warning, or automatically updating by risk level.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.5K | — | 4 |
| 2026-08 | 4.2K | +2.6% | 4 |
| 2026-07 | 4.1K | — | 4 |
| 2026-05 | 3.5K | — | 3 |
| 2026-03 | 2.7K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 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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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.