3 layer of memory system

Always active in every session. Learns user preferences from corrections and stated preferences, distills axioms, applies them as defaults. Makes every other...

This skill is coherent with its stated purpose: it will read and write two files in memory/context-infra (observations.log and context-profile.md), automatically distill recurring preferences into axioms, and apply them as soft defaults across future conversations. Before installing, consider: (1) backup any existing context-profile.md if you manually maintain a profile — the skill will rewrite it during reflection; (2) avoid stating secrets or highly sensitive preferences in free text, since the skill persists short lines from your input; (3) decide whether you want automatic, cross-session learning or prefer to review changes before they’re applied — ask the author for an opt-in/preview step if you want manual approval of promoted axioms; (4) confirm the platform’s invocation behavior (the skill claims “always active” but registry shows always:false). If those points are acceptable, the skill appears internally consistent and proportionate.

Type: OpenClaw Skill Name: smarty-skill Version: 0.1.0 The skill implements a long-term memory system designed to learn and apply user preferences across sessions by observing corrections and stated preferences. It manages its own state via local files in a dedicated memory directory (memory/context-infra/) and lacks any indicators of data exfiltration, malicious command execution, or unauthorized access to sensitive system credentials.