KnowledgeRAG GZHU

REVIEW · 67
Community indexed

​​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。

Downloads0
Stars141
Version1.0.0
Quality68/100 · Promising
Trust67/100 · Sandbox only
Audit76/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add Zhongye1/KnowledgeRAG-GZHU

Maintenance

active

3mo since push

Risk

Needs review

License is unclear

GitHub quality

141

68/100 quality · 75/100 trust

Coverage tags

ResearchRAG and knowledgerag-knowledgeragretrieval

Review notes

License is unclear · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
68

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
76

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

VueRAGCodexClaude CodeCursor

Stars

141 GitHub stars

Repo activity

141 stars, 11 forks

Maintenance

3mo since push

License

Unknown

Install

npx skills add Zhongye1/KnowledgeRAG-GZHU

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 141 stars, 11 forks; issue activity unavailable in current metadata
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Chunk documents

Suited agents

VueRAGCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add Zhongye1/KnowledgeRAG-GZHU
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
76/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add Zhongye1/KnowledgeRAG-GZHU

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • License is unclear
  • Quality score needs review

Agent safety v2

60/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • License is unclear

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add Zhongye1/KnowledgeRAG-GZHU

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use KnowledgeRAG GZHU in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20KnowledgeRAG%20GZHU%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhongye1-knowledgerag-gzhu/install
Install command: npx skills add Zhongye1/KnowledgeRAG-GZHU
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use KnowledgeRAG GZHU for this task. Review https://www.openagentskill.com/api/skills/zhongye1-knowledgerag-gzhu/install, then install with: npx skills add Zhongye1/KnowledgeRAG-GZHU

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

67/100

RAG and knowledge

Platforms

Vue, RAG, Claude Code

Audit report

Needs review · 76/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for RAG and knowledge

Prototype with this skill first; keep a fallback candidate ready.

67
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

RAG and knowledge

Trust label

Prototype first

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 68/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
Trust score

GitHub adoption

INFO

141 GitHub stars

Stars/forks activity

CHECK

141 stars, 11 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

3mo since push

License clarity

CHECK

Unknown

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 141 stars, 11 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

68
GitHub stars
141
Freshness
3mo ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

​​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。

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

vueFULL
ragFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
6/21/2026
Published
6/21/2026

Frameworks & Tools

VueRAG

Decision snapshot

Fallback candidate

67
Ready
Prototype
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

76
Needs review
Security
81/100
Maintenance
76/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for KnowledgeRAG GZHU, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

KnowledgeRAG GZHU gives coding agents a repeatable way to plan, patch, review, or ship.

141 stars

https://www.openagentskill.com/skills/zhongye1-knowledgerag-gzhu?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for KnowledgeRAG GZHU:
https://www.openagentskill.com/skills/zhongye1-knowledgerag-gzhu?ref=x

Install: npx skills add Zhongye1/KnowledgeRAG-GZHU

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Zhongye1
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to Zhongye1 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/zhongye1-knowledgerag-gzhu)](https://www.openagentskill.com/skills/zhongye1-knowledgerag-gzhu)

Author

Z

Zhongye1

@zhongye1

Platform Fit

Health Signals

GitHub stars
141
Quality score
46/100
Last GitHub push
Mar 29, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

67
  • GitHub adoption141 GitHub starsINFO
  • Stars/forks activity141 stars, 11 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3mo since pushINFO
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS