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在 OpenClaw 中安装
/install nm-abstract-metacognitive-self-mod
功能描述
Analyze and improve the improvement process. Use for detecting quality regressions and refining meta-optimization
安全使用建议
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.
功能分析
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.
能力评估
Purpose & Capability
The name/description (metacognitive analysis of improvement processes) aligns with the instructions which operate on improvement memory and performance history. Minor inconsistency: SKILL.md uses Python imports (abstract.improvement_memory, abstract.performance_tracker) but the skill declares no dependencies or required packages — this is likely intended to run against a host that already provides those modules, but the expectation isn't documented in the skill metadata.
Instruction Scope
Runtime instructions are narrowly focused on loading and analyzing ~/.claude/skills/improvement_memory.json and performance_history.json and producing meta-insights. These file reads are consistent with the purpose. No instructions to transmit data externally or access unrelated system paths are present. Note: reading user-home JSON files can expose local data; the skill assumes those files exist and contain relevant improvement data.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. There is no download/extract activity or external install URLs.
Credentials
The skill requests no environment variables, credentials, or config paths beyond the two JSON files under ~/.claude/skills. Those file accesses are proportionate to the stated goal of analyzing improvement memory. There are no surprising secret or cloud credential requests.
Persistence & Privilege
Skill is not always-enabled and uses normal autonomous invocation settings. It does not request persistent system-wide privileges or modify other skills' configurations in the provided instructions.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install nm-abstract-metacognitive-self-mod - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-abstract-metacognitive-self-mod触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.8.3
Release v1.8.3
v1.8.2
Release v1.8.2
v1.0.0
- Initial public release of "metacognitive-self-mod" for meta-optimization of skill improvement processes.
- Automates detection of quality regressions, low effectiveness rates, and degradation despite improvements, triggering deeper analysis.
- Guides users through analysis of improvement data, extraction of success/failure patterns, and generation of strategy recommendations.
- Integrates with ImprovementMemory and PerformanceTracker for continuous monitoring and feedback.
- Outputs actionable, data-driven strategy adjustments to optimize future skill improvements.
- Designed to support refinement of agent improvement strategies; does not auto-apply changes without user review.
元数据
常见问题
Nm Abstract Metacognitive Self Mod 是什么？
Analyze and improve the improvement process. Use for detecting quality regressions and refining meta-optimization. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 164 次。
如何安装 Nm Abstract Metacognitive Self Mod？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-abstract-metacognitive-self-mod」即可一键安装，无需额外配置。
Nm Abstract Metacognitive Self Mod 是免费的吗？
是的，Nm Abstract Metacognitive Self Mod 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Abstract Metacognitive Self Mod 支持哪些平台？
Nm Abstract Metacognitive Self Mod 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Nm Abstract Metacognitive Self Mod？
由 athola（@athola）开发并维护，当前版本 v1.8.3。
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