Nm Abstract Metacognitive Self Mod

Analyze and improve the improvement process. Use for detecting quality regressions and refining meta-optimization

This skill appears to do what it says: analyze skill-improvement data stored under ~/.claude/skills. Before installing: (1) confirm your environment provides the referenced Python modules (abstract.improvement_memory, abstract.performance_tracker) or be prepared to add them, (2) inspect the ~/.claude/skills/improvement_memory.json and performance_history.json files to ensure they don't contain sensitive secrets you don't want the skill to read, and (3) if you expect the skill to run in a restricted environment, test it manually (run the snippets) to verify behavior. If you see later versions that add network calls, require credentials, or include an install step that downloads code, reconsider installation.

Type: OpenClaw Skill Name: nm-abstract-metacognitive-self-mod Version: 1.8.3 The skill bundle implements a metacognitive analysis tool for an AI agent to evaluate and refine its own skill-improvement processes. It analyzes local performance logs in `~/.claude/skills/` using Python and shell commands, and explicitly requires user approval before proposing any logic modifications. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found in SKILL.md or _meta.json.