首页龙虾技能列表 › 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

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

v1.0.0

[AI辅助] Professional multi-layered knowledge extraction and recursive knowledge graph construction.

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by @askxiaozhang (Pandas_007)·MIT-0
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License
MIT-0
最后更新
2026/3/12
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OpenClaw
安全
high confidence
The skill's instructions, requirements, and scope are internally consistent with its stated purpose (structured multi-layer knowledge extraction) and it does not request extra permissions, installs, or credentials.
评估建议
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 no...
详细分析 ▾
用途与能力
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).
指令范围
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.
安装机制
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.
凭证需求
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.
持久化与权限
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.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/11

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.

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安装命令 点击复制

官方npx clawhub@latest install recursive-knowledge-miner
镜像加速npx clawhub@latest install recursive-knowledge-miner --registry https://cn.clawhub-mirror.com
数据来源:ClawHub ↗ · 中文优化:龙虾技能库
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