{"skill":{"slug":"zhongye1-knowledgerag-gzhu","name":"KnowledgeRAG GZHU","description":"​​KnowledgeRAG-GZHU​​ 是一个面向智能知识管理的检索增强生成（RAG）系统，集成文档解析、知识库管理、知识图谱生成、向量检索、Ollama模型服务及智能问答核心功能。前端基于 ​​Vue3 + TypeScript​​ 构建交互框架，实现知识组织与问答可视化；后端采用 ​​FastAPI​​ 架构提供高性能服务支持。该系统通过本地知识库与大语言模型协同推理，显著缓解大模型幻觉问题，提升领域知识问答的精确性与可靠性。","repository":"https://github.com/Zhongye1/KnowledgeRAG-GZHU"},"recommended_command":"npx skills add Zhongye1/KnowledgeRAG-GZHU","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add Zhongye1/KnowledgeRAG-GZHU","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"KnowledgeRAG GZHU\" agent skill from https://github.com/Zhongye1/KnowledgeRAG-GZHU. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: ​​KnowledgeRAG-GZHU​​ 是一个面向智能知识管理的检索增强生成（RAG）系统，集成文档解析、知识库管理、知识图谱生成、向量检索、Ollama模型服务及智能问答核心功能。前端基于 ​​Vue3 + TypeScript​​ 构建交互框架，实现知识组织与问答可视化；后端采用 ​​FastAPI​​ 架构提供高性能服务支持。该系统通过本地知识库与大语言模型协同推理，显著缓解大模型幻觉问题，提升领域知识问答的精确性与可靠性。","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"KnowledgeRAG GZHU\" as a Claude Code skill from https://github.com/Zhongye1/KnowledgeRAG-GZHU. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: ​​KnowledgeRAG-GZHU​​ 是一个面向智能知识管理的检索增强生成（RAG）系统，集成文档解析、知识库管理、知识图谱生成、向量检索、Ollama模型服务及智能问答核心功能。前端基于 ​​Vue3 + TypeScript​​ 构建交互框架，实现知识组织与问答可视化；后端采用 ​​FastAPI​​ 架构提供高性能服务支持。该系统通过本地知识库与大语言模型协同推理，显著缓解大模型幻觉问题，提升领域知识问答的精确性与可靠性。","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"KnowledgeRAG GZHU\" from https://github.com/Zhongye1/KnowledgeRAG-GZHU into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: ​​KnowledgeRAG-GZHU​​ 是一个面向智能知识管理的检索增强生成（RAG）系统，集成文档解析、知识库管理、知识图谱生成、向量检索、Ollama模型服务及智能问答核心功能。前端基于 ​​Vue3 + TypeScript​​ 构建交互框架，实现知识组织与问答可视化；后端采用 ​​FastAPI​​ 架构提供高性能服务支持。该系统通过本地知识库与大语言模型协同推理，显著缓解大模型幻觉问题，提升领域知识问答的精确性与可靠性。","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["License is unclear","60/100 agent safety score"]},"agent_prompt":"Install the \"KnowledgeRAG GZHU\" agent skill only after reviewing the OpenAgentSkill profile and source repository. Safety gate: Reviewed with permission notes (review). Start with https://www.openagentskill.com/skills/zhongye1-knowledgerag-gzhu, inspect the trust and audit notes, then use the recommended install handoff: npx skills add Zhongye1/KnowledgeRAG-GZHU. After installation, summarize changed files, required setup, and a minimal verification result before using the skill for real work.","safety_checklist":["Safety gate: Reviewed with permission notes. Policy: review.","Require human approval before installing into a real workspace.","Review the repository and license before running third-party code.","Prefer a sandbox or isolated project when testing a new skill.","Start with the recommended command, then inspect generated files before committing changes.","Do not execute external side effects, payments, account changes, or credentialed actions without explicit user approval."],"verification_steps":["Open the skill documentation or SKILL.md and identify required setup.","Run the smallest safe example for the target task.","Confirm outputs match the task before allowing broader agent use.","Record any missing credentials, policy risks, or manual approvals needed."],"do_not_auto_install_when":["The repository or license cannot be reviewed.","The skill requires broad credentials or production account access.","The task involves regulated, private, or high-impact data without user approval."],"urls":{"web":"https://www.openagentskill.com/skills/zhongye1-knowledgerag-gzhu","api":"https://www.openagentskill.com/api/agent/skills/zhongye1-knowledgerag-gzhu","install_api":"https://www.openagentskill.com/api/skills/zhongye1-knowledgerag-gzhu/install","repository":"https://github.com/Zhongye1/KnowledgeRAG-GZHU"},"meta":{"agent_friendly":true,"api_version":"1.0","generated_at":"2026-07-03T23:53:31.303Z"}}