Max-Self-Improvement

MiniMax Agent self-evolution system with 5-layer memory for continuous learning, error analysis, and persistent personalized context management.

This skill appears to implement the described learning/memory features, but there are ambiguities and privacy concerns you should resolve before installing: 1) Ask the author where memory files will be stored exactly. If they are written to /memories or any absolute system path, insist they write only inside a sandboxed skill-specific directory (e.g., under the skill bundle or a configured data directory). 2) Confirm retention and deletion policies. "Never auto-delete" preferences can accumulate sensitive data — require an explicit delete/expire mechanism and ability for the user to purge stored memories. 3) Audit what the skill logs. The ERRORS.md templates invite logging "Environment details"; verify that environment variables, secrets, tokens, or file contents will not be captured or that logs are sanitized/encrypted. 4) Run the skill in an isolated environment first (non-production account or container) and monitor where files are created when activating error-detector/activator. 5) If you need stronger assurance, request a signed source/homepage or a maintainer contact and require the code to be adjusted so all writes are confined to a clearly documented skill-local path and retention controls are exposed to the user. Given the inconsistencies (absolute vs skill-local paths) and the potential for persistent capture of environment/context, treat this skill as potentially privacy-sensitive until the above are clarified.

Type: OpenClaw Skill Name: max-self-improvement Version: 1.0.1 The 'max-self-improvement' skill bundle is a framework designed to provide an AI agent with a persistent memory and self-optimization system. It uses a structured directory of Markdown files (e.g., /memories/, .learnings/) to track user preferences, task states, and error logs. The included shell scripts (activator.sh, error-detector.sh) and Python utilities (package_skill.py, validate_skill.py) are standard administrative tools for logging and maintenance, showing no signs of data exfiltration, malicious execution, or unauthorized persistence.