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A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning.
作者
Pandas_007
· GitHub ↗
· v1.0.0
· MIT-0
535
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install recursive-knowledge-miner
功能描述
Professional multi-layered knowledge extraction and recursive knowledge graph construction.
安全使用建议
This skill appears coherent and low-risk: it only prescribes how the agent should extract and structure knowledge into JSON and does not request credentials or install software. Before using, avoid submitting sensitive secrets or private credentials as part of the text you want analyzed (the skill processes whatever you provide). If you plan to use this to build a growing knowledge graph across sessions, verify how your agent/platform stores and protects that graph data (the skill itself does not specify storage or export behavior). Finally, confirm whether you are comfortable with the agent invoking the skill autonomously (default platform behavior) when it decides the skill is relevant.
功能分析
Type: OpenClaw Skill
Name: recursive-knowledge-miner
Version: 1.0.0
The skill bundle provides instructions for an AI agent to perform structured knowledge extraction and graph construction. It defines a JSON output schema and a hierarchical data model (core, primary, detail) for organizing information. There is no evidence of malicious intent, data exfiltration, or unauthorized command execution in SKILL.md or the metadata.
能力评估
Purpose & Capability
Name/description claim a multi-layer knowledge extraction tool and the skill is instruction-only that defines exactly that behavior (entity/relation JSON schema, 3-layer architecture). There are no unrelated requirements (no env vars, no binaries, no installs).
Instruction Scope
SKILL.md stays on-purpose: it instructs the agent to parse the user's query and prior context, check a provided existing_terms list if present, build the Core/Primary/Detail hierarchy, and emit JSON. It does not instruct reading files, contacting external endpoints, or accessing unrelated system state.
Install Mechanism
No install spec and no code files — lowest-risk execution model. The skill is pure instructions that run in-memory as part of the agent's reasoning.
Credentials
The skill requests no environment variables, credentials, or config paths. The documented runtime behavior only references supplied context (user query, optional existing_terms) which is proportional to the stated functionality.
Persistence & Privilege
Flags show always:false and user-invocable:true. The skill can be invoked autonomously by the agent (platform default), which is normal; it does not request persistent system presence or modify other skills.
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 recursive-knowledge-miner - 安装完成后，直接呼叫该 Skill 的名称或使用
/recursive-knowledge-miner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
v1.0.0
Initial release of recursive-knowledge-miner skill.
- Introduces a 3-layer hierarchical architecture for professional knowledge extraction: core, primary, and detail.
- All responses are structured JSON objects following a strict schema for explanations, entities, and relationships.
- Implements logic to maintain a consistent, non-duplicative knowledge graph using reference checks and ID mapping.
- Provides clear protocols for entity grouping, relationship definition, and context-aware extraction.
- Details a step-by-step workflow for recursive knowledge growth and interactive graph construction.
元数据
常见问题
A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. 是什么？
Professional multi-layered knowledge extraction and recursive knowledge graph construction. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 535 次。
如何安装 A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning.？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install recursive-knowledge-miner」即可一键安装，无需额外配置。
A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. 是免费的吗？
是的，A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. 支持哪些平台？
A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning. 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 A precision tool designed for distilling high-fidelity professional concepts and relationships from complex information. It automatically organizes knowledge into a 3-layer architecture (Core, Primary, Detail) and ensures semantic consistency through recursive entity tracking. This skill enables any AI to act as a structured knowledge engine, generating consistent, graph-ready data for interactive learning.？
由 Pandas_007（@askxiaozhang）开发并维护，当前版本 v1.0.0。
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