Xiaobai Self-Improvement

Self-Improvement Engine - AI Agent that learns from mistakes and continuously improves. No more repeating the same errors.

This skill is coherent with its stated self-improvement goal, but it writes and enforces persistent rules and gives the agent broad discretion to change behavior and call verification tools. Before installing: 1) Confirm where memory/mistakes.json and WORK_RULES.md will be stored and who/what can read them. 2) Require explicit user consent before the skill makes permanent rule changes or enforces rules that affect other skills. 3) Ask for limits: what kinds of data may not be logged (PII, secrets), and provide automatic sanitization. 4) Ensure there's a clear restore/reset/undo mechanism (ability to review and remove rules, and to disable persistence). 5) Prefer more specific, auditable verification steps (exact commands, when they're run) and a safe fail-open/fail-closed policy. 6) If you plan to allow autonomous invocation, consider restricting it until you can audit WORK_RULES.md contents and confirm no sensitive data is being logged. If these safeguards are not added, treat the skill as high-risk for unintended persistent behavior.

Type: OpenClaw Skill Name: xiaobai-self-improve Version: 1.0.0 The skill implements a self-improvement framework for AI agents by instructing them to log errors in 'memory/mistakes.json' and derive behavioral constraints in 'WORK_RULES.md'. The logic focuses on improving reliability through verification steps (e.g., checking cron tasks) and tool-based calculations, with no evidence of malicious intent, data exfiltration, or unauthorized command execution.