🩺 memory-health-check

Performs a 6-dimension memory health check assessing integrity, freshness, bloat, orphans, duplicates, and coverage with optional auto-repair.

This skill appears to implement the described memory health checks, but exercise caution before running it on a real profile: - Review scripts/auto_repair.py before using --auto-repair. The auto-repair feature can delete files (orphans, temp files). Run it in dry-run mode first and back up your memory directory. - Note the skill scans ~/.openclaw/workspace/*/memory/ and ~/.openclaw/memory/*.sqlite — it may read other agents' memory on the same host. If you don't want cross-workspace scanning, run the scripts with an explicit base-dir argument or inspect/modify find_memory_dbs/find paths. - The health_score recommendations reference external skill paths (dreaming-optimizer) that are not declared; those recommended commands may not exist and could be confusing or misleading. - There are no network downloads or obvious exfil endpoints in the provided files, but the package writes reports to ~/.openclaw/workspace/memory/health-reports/ (inspect generate_report.py to confirm it does not upload reports anywhere). If you need higher assurance, open and review generate_report.py and scripts/auto_repair.py for any network or deletion behaviour not covered here. - Recommended actions: run the tool first in a safe/testing environment (or with --dims to limit what runs), review auto-repair's deletion rules, run dry-run, and keep backups. If you want the skill to only scan a single agent's memory, pass a specific --base-dir or edit the search logic to narrow paths. What would change this assessment: seeing the full auto_repair.py and generate_report.py contents (to confirm exact deletion and any network/upload behavior) would increase confidence; explicit declaration of any cross-skill dependencies (dreaming-optimizer) or limiting scans to a single agent workspace would reduce the 'suspicious' flags.

Type: OpenClaw Skill Name: memory-health-check Version: 1.0.0 The memory-health-check skill bundle is a diagnostic toolset designed to monitor and maintain the OpenClaw agent's memory environment. It includes scripts for SQLite integrity checks (integrity_scan.py), storage analysis (bloat_detector.py), and content maintenance (dedup_scanner.py, orphan_finder.py). While the auto_repair.py script performs file deletions, its actions are restricted to maintenance tasks like removing temporary system files or empty notes, consistent with its stated purpose. No evidence of data exfiltration, malicious persistence, or unauthorized remote execution was found.