Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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 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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
AI-powered auto-updater that intelligently decides whether to update based on impact assessment. Safe, intelligent, and configurable.
Checks for OpenClaw updates Checks for skill updates via ClawHub Fetches changelog and diff
Analyzes changes using LLM Evaluates system impact (ๆถๆ/ๆง่ฝ/ๅ ผๅฎนๆง) Classifies risk level (HIGH/MEDIUM/LOW)
Risk LevelActionHIGHSkip update, send detailed reportMEDIUMSkip update, send warning + reportLOWAuto-update, send summary
Generates readable update report Includes risk assessment Provides upgrade recommendations
# Run smart update check openclaw sessions spawn \ --agentId smart-auto-updater \ --message "Run smart update check"
openclaw sessions spawn \ --agentId smart-auto-updater \ --message "Check updates with custom settings: auto-update LOW risk, report MEDIUM risk"
# 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"
โโโโโโโโโโโโโโโโโโโโ โ Trigger (Cron) โ โโโโโโโโโโฌโโโโโโโโโโ โ โผ โโโโโโโโโโโโโโโโโโโโ โ Check Updates โ โ clawhub update --dry-run โโโโโโโโโโฌโโโโโโโโโโ โ โผ โโโโโโโโโโโโโโโโโโโโ โ AI Analysis โ โ Analyze changes, assess risk โโโโโโโโโโฌโโโโโโโโโโ โ โโโโโโดโโโโโ โ โ โผ โผ โโโโโโโโโ โโโโโโโโโ โ HIGH โ โ MEDIUMโ โ Skip โ โ Skip โ โโโโโฌโโโโ โโโโโฌโโโโ โ โ โผ โผ โโโโโโโโโ โโโโโโโโโ โ LOW โ โ Reportโ โ Updateโ โ Only โ โโโโโฌโโโโ โโโโโโโโโ โ โ โโโโโโฌโโโโโโ โ โผ โโโโโโโโโโโโโโโโโโโโ โ Generate Report โ โ Send summary โโโโโโโโโโโโโโโโโโโโ
Dry Run First - Always check before acting Risk Classification - AI-powered impact assessment Configurable Thresholds - Set your own risk tolerance Detailed Logging - Every decision is logged Manual Override - Always can review before updating
Check risk tolerance setting Verify AI model is available Review changelog manually
Lower risk tolerance Check AI model prompts Review specific change patterns
Verify delivery channel configuration Check gateway status Review session configuration
references/risk-assessment.md โ AI risk assessment methodology references/report-templates.md โ Report format examples references/integration.md โ Integration with cron/jobs
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.