Viforge
ViForge is a local-first AI collaboration workbench for creative and knowledge work. It helps people turn ideas, judgment, and personal methodology into reusable agents, skills, knowledge bases, and evaluable workflows.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Database and SQL
I need my agent to inspect database schemas, write SQL, and explain query results.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add tech4idea/viforge
Maintenance
fresh
7d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
28
71/100 Quality · 71/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
28 GitHub stars
Repo activity
28 stars, 6 forks
Maintenance
7d since push
License
MIT
Install
npx skills add tech4idea/viforge
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 28 GitHub stars
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 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.
Suited tasks
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Chunk documents
Suited agents
Install decision
- Command
- npx skills add tech4idea/viforge
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 63/100
- Audit
- 78/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Do not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution, Secrets or environment access
Agent safety v2
38/100 · Avoid automatic install
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add tech4idea/viforgeAgent 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 JSON
/api/agent/resolve?task=Use%20Viforge%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Viforge%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/tech4idea-viforge/install
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 Viforge in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Viforge%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tech4idea-viforge/install
Install command: npx skills add tech4idea/viforge
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.
Install handoff
/api/skills/tech4idea-viforge/install
LLM text format
/api/skills/tech4idea-viforge/install?format=text
Find alternatives
/api/skills/search?q=Viforge&limit=3
Agent prompt
Use Viforge for this task. Review https://www.openagentskill.com/api/skills/tech4idea-viforge/install, then install with: npx skills add tech4idea/viforgeRegistry 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.
Manifest
/api/registry/manifest/tech4idea-viforge
LLM text
/api/registry/manifest/tech4idea-viforge?format=text
Install alias
/api/registry/install/tech4idea-viforge
Recommend
/api/registry/recommend?task=Use%20Viforge%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Platforms
TypeScript, Claude Code, OpenAI Agents
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for RAG and knowledge
Prototype with this skill first; keep a fallback candidate ready.
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
- 71/100 quality profile
review first
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
GitHub adoption
CHECK28 GitHub stars
Stars/forks activity
CHECK28 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 28 GitHub stars
- Stars/forks activity: 28 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- 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
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Compare before you install
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Overview
# ViForge
中文 | [English](./README.en.md)
ViForge 是一个本地优先的 AI 协作工作台,面向创意生产、知识工作和可持续迭代的 Agent 工作流。它把项目文件、创作助手、可复用技能、知识库、模型配置、运行日志和评测流程放在同一个可控工作区中,让用户把自己的判断、方法论和审美沉淀为可复用的 AI 协作能力。
当前实现重点服务小说改编、情景剧创作和学习研究等工作流,同时保留产品 profile 机制,便于后续扩展到更多垂直场景。
## 核心特性
- 本地优先工作区:项目文件、Agent 配置、记忆、日志和评测产物默认保存在用户本机。 - 三栏创作工作台:文件树、编辑/预览标签页和创作助手协同工作。 - 多产品 profile:内置小说改编、情景剧创作和学习研究模板,可按项目选择不同系统提示词、目录结构和专业技能。 - LangGraph Agent 运行时:支持流式会话、工具调用、长期记忆和 PostgreSQL/pgvector 持久化。 - 可复用 Agent Skills:通过工作区内的 `SKILL.md` 管理可迭代的专业能力。 - Agent Harness:支持对 Agent提示词、工具描述,行文规则等变更进行复现、比较、评审、发布和回滚。 - 桌面单机版:当前支持 Windows 安装包,下载安装后即可使用。 - 微信接入与浏览器协作:支持微信入口和经过用户授权的浏览器自动化操作。
## 产品架构
<p align="center"> <img src="./docs/architecture/level_architecture.png" alt="ViForge 产品架构图" width="900"> </p>
## 产品截图
<p align="center"> <img src="./docs/screenshots/main_page.png" alt="工作台主页" width="900"> <br> <strong>工作台主页</strong> </p>
<p align="center"> <img src="./docs/screenshots/harness_main_page.png" alt="Harness 主页" width="900"> <br> <strong>Harness 主页</strong> </p>
<p align="center"> <img src="./docs/screenshots/connectors.png" alt="连接器" width="900"> <br> <strong>连接器</strong> </p>
## 安装与使用
### 桌面版
桌面版面向普通用户,当前支持 Windows 安装。下载安装包并完成安装后,打开 ViForge 即可进入工作台使用。
### Docker Compose 部署
仓库提供 Docker Compose 部署方式,适合需要服务化运行的场景。
```bash docker compose up -d --build ```
更完整的部署说明见 [当前实现总览](./docs/current/README.md)。
### 本地开发运行
安装依赖:
```bash pnpm install ```
启动本地开发服务:
```bash pnpm dev ```
更多开发、测试和构建命令见 [测试与开发命令](./docs/current/09-tests-and-dev-commands.md)。
## 模型配置
ViForge 不内置托管模型服务。请在应用内的系统配置入口中设置兼容 OpenAI 协议的模型服务,包括 Base URL、API Key、文本模型、图片模型和 embedding 模型等。
系统配置会把 API Key 存在本地。API 只返回密钥是否已配置,不会把明文密钥回传给前端。
## 文档入口
- [当前实现总览](./docs/current/README.md) - [测试与开发命令](./docs/current/09-tests-and-dev-commands.md)
## 许可与声明
本仓库采用 MIT License,见 [LICENSE](./LICENSE)。
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Jul 26, 2026
- Published
- Jul 26, 2026
Frameworks & tools
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 75/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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 report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for Viforge, ready for a manual X post.
Viforge: ViForge is a local-first AI collaboration workbench for creative and knowledge work. It helps... 28 stars https://www.openagentskill.com/skills/tech4idea-viforge?ref=x
Optional reply with install command
Listing + install path for Viforge: https://www.openagentskill.com/skills/tech4idea-viforge?ref=x Install: npx skills add tech4idea/viforge
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- tech4idea
- Source
- tech4idea/viforge
- 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 skillOwner claim
Claim this skill listing
This Community indexed listing is attributed to tech4idea 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.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/tech4idea-viforge)
[](https://www.openagentskill.com/skills/tech4idea-viforge)
[](https://www.openagentskill.com/skills/tech4idea-viforge/audit)
[](https://www.openagentskill.com/skills/tech4idea-viforge)Author
tech4idea
@tech4idea
Platform fit
Health signals
- GitHub stars
- 28
- Quality score
- 43/100
- Last GitHub push
- Jul 26, 2026
- Framework hints
- 1
- 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
- GitHub adoption28 GitHub starsCHECK
- Stars/forks activity28 stars, 6 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance7d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, credential or environment accessFIX
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