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OpenClaw Knowledge Runtime
作者
WANGJUNJIE
· GitHub ↗
· v1.0.2
· MIT-0
238
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0
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4
当前安装
3
版本数
在 OpenClaw 中安装
/install openclaw-knowledge-runtime
功能描述
Build a standalone layered knowledge runtime with typed links across knowledge entries, entities, memories, and reusable assets. Use when designing or implem...
安全使用建议
This skill appears coherent and local-only, but before installing: (1) confirm where the host will place and permission the memory/knowledge/* files so sensitive information isn't written to an insecure location; (2) review any host adapter code that integrates this runtime (query_builder, retrieval_selector, write_back) to ensure it filters sensitive inputs and enforces write-back rules; (3) when deploying in production, enforce retention/rotation and access controls on the knowledge store and audit what the skill writes to avoid accidentally persisting raw logs or secrets.
功能分析
Type: OpenClaw Skill
Name: openclaw-knowledge-runtime
Version: 1.0.2
The skill provides a structured framework for managing agent memory and knowledge retrieval using a layered model (working, episodic, semantic, etc.). The code in index.js is purely declarative, defining storage layouts and runtime descriptions, while the documentation in SKILL.md and reference.md outlines logic for organizing and querying knowledge entries. There is no evidence of data exfiltration, malicious execution, or prompt-injection attacks.
能力评估
Purpose & Capability
Name/description match the actual contents: documentation and a tiny index.js implement a standalone knowledge/runtime design. Required artifacts (storage files, adapters, record types) align with the stated goal; nothing asks for unrelated cloud credentials or external services.
Instruction Scope
SKILL.md confines activity to building queries, reading layered stores, one‑hop link expansion, ranking, and writing back only stable findings. It references default local storage paths under memory/knowledge/*. This is appropriate for a local runtime, but the instructions imply the agent will read and (occasionally) write files in those locations when integrated — verify host adapters constrain what gets read/written and avoid dumping raw logs or sensitive data into the store.
Install Mechanism
No install spec. The skill is instruction-only plus a small index.js and docs; nothing downloads or executes external installers or archives.
Credentials
No required environment variables, credentials, or config paths are declared. The runtime uses only local file paths and adapter interfaces as described — proportional to the stated functionality.
Persistence & Privilege
always is false and the skill does not request persistent platform privileges. It describes write-back behavior but leaves actual persistence to the host through adapters; no self-enabling or cross-skill configuration changes are present.
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 openclaw-knowledge-runtime - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-knowledge-runtime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
v1.0.2
Add a storefront README and usage examples for clearer ClawHub presentation
v1.0.1
Refactor the skill into a standalone runtime guide with generic adapter surfaces and schema reference
v1.0.0
Initial publish
元数据
常见问题
OpenClaw Knowledge Runtime 是什么？
Build a standalone layered knowledge runtime with typed links across knowledge entries, entities, memories, and reusable assets. Use when designing or implem... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 238 次。
如何安装 OpenClaw Knowledge Runtime？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-knowledge-runtime」即可一键安装，无需额外配置。
OpenClaw Knowledge Runtime 是免费的吗？
是的，OpenClaw Knowledge Runtime 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
OpenClaw Knowledge Runtime 支持哪些平台？
OpenClaw Knowledge Runtime 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 OpenClaw Knowledge Runtime？
由 WANGJUNJIE（@wanng-ide）开发并维护，当前版本 v1.0.2。
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