Open Model Workbench
开箱即用的 3D 模型构图工作台 Codex Skill。
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add icejyzy0430/open-model-workbench
Maintenance
fresh
25d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
29
69/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · 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
PromisingUseful candidate, but compare it with alternatives before adopting.
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
29 GitHub stars
Repo activity
29 stars, 4 forks
Maintenance
25d since push
License
MIT
Install
npx skills add icejyzy0430/open-model-workbench
Install safety
standard package or runtime install path
Permission surface
shell or command execution, database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 29 GitHub stars
- Stars/forks activity: 29 stars, 4 forks; issue activity unavailable in current metadata
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
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add icejyzy0430/open-model-workbench
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 66/100
- Audit
- 79/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add icejyzy0430/open-model-workbenchDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- High-risk permission hints: Shell or command execution
- Quality score needs review
Agent safety v2
51/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- High-risk permission hints: Shell or command execution
- Low GitHub adoption signal
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
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install icejyzy0430-open-model-workbenchAgent 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%20Open%20Model%20Workbench%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Open%20Model%20Workbench%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/icejyzy0430-open-model-workbench/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 Open Model Workbench in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Open%20Model%20Workbench%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/icejyzy0430-open-model-workbench/install
Install command: npx skills add icejyzy0430/open-model-workbench
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/icejyzy0430-open-model-workbench/install
LLM text format
/api/skills/icejyzy0430-open-model-workbench/install?format=text
Find alternatives
/api/skills/search?q=Open%20Model%20Workbench&limit=3
Agent prompt
Use Open Model Workbench for this task. Review https://www.openagentskill.com/api/skills/icejyzy0430-open-model-workbench/install, then install with: npx skills add icejyzy0430/open-model-workbenchRegistry 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/icejyzy0430-open-model-workbench
LLM text
/api/registry/manifest/icejyzy0430-open-model-workbench?format=text
Install alias
/api/registry/install/icejyzy0430-open-model-workbench
Recommend
/api/registry/recommend?task=Use%20Open%20Model%20Workbench%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents, Cursor
Audit report
Needs review · 79/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 69/100 quality profile
- 6 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation 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
CHECK29 GitHub stars
Stars/forks activity
CHECK29 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS25d 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
- GitHub adoption: 29 GitHub stars
- Stars/forks activity: 29 stars, 4 forks; issue activity unavailable in current metadata
- 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.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
Similar skills that may fit this task.
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A comprehensive collection of ready-to-use scientific and research skills for AI agents.
Overview
# Open Model Workbench
一个面向视觉创作与 3D 网页工作流、可以开箱即用的 **3D 模型构图工作台 Codex Skill**。
把一个或多个 GLB/GLTF 模型交给 Codex,自动在本地生成并打开一套桌面 3D 构图工具。用户可以直接摆放、旋转和缩放模型,再导出干净的网页构图截图与可复现的布局数据。

### 它解决什么问题
直接让生成式 AI 根据文字猜测 3D 网页构图,主体位置、朝向和比例很容易失控。这个 Skill 把构图提前变成一个可操作步骤:
1. 用户提供真实模型。 2. Codex 自动搭建并打开本地工作台。 3. 用户亲手确定模型的位置、角度和大小。 4. 导出的 PNG 可以继续交给 Image 2 生成网页设计稿。 5. 导出的 JSON 可以让后续网页实现复现同一套三维变换。
### 功能
- 支持一个或多个 `.glb` / `.gltf` 模型 - 自动复制 GLTF 的本地纹理与 `.bin` 依赖 - 支持 Draco 压缩模型 - 鼠标直接拖动模型 - 3ds Max 风格的局部三轴旋转环 - 精确的位置、旋转与缩放控制 - 深色、浅色等舞台背景切换 - 网格与 16:9 安全框 - 导出干净的 1920 x 1080 PNG - 导出 `model-workbench-layout.json` - 所有运行依赖均随 Skill 本地提供,不依赖 CDN - 服务只绑定 `127.0.0.1`,模型不会上传到远程服务器
## 安装
把下面这段话发给支持 Skills 的 Codex Agent:
```text 请安装这个 Skill: https://github.com/icejyzy0430/open-model-workbench/tree/main/open-model-workbench ```
安装完成后,在下一轮对话中说:
```text 打开模型工作台 ```
如果本轮还没有模型,Agent 会只请求你提供一个或多个 GLB/GLTF 文件。收到模型后,它会自动生成工作台、选择空闲端口、启动本地服务并打开网页。
## 操作
| 操作 | 效果 | |---|---| | 鼠标拖动 | 在位移模式中移动所选模型 | | `E` | 切换位移与旋转模式 | | `F` | 将所选模型移回舞台中心 | | `G` | 恢复所选模型的初始角度 | | 左侧对象列表 | 在多个模型之间切换 | | 生成截图 | 导出不包含 UI、网格和旋转环的 PNG | | `{ }` 按钮 | 导出布局 JSON |
## 可选初始配置
需要预设模型位置、背景或截图尺寸时,可以在模型目录加入 `composer.json`。完整字段见 [`config-schema.md`](open-model-workbench/references/config-schema.md)。普通用户不需要手写配置。
## 本地开发与验证
```powershell python open-model-workbench/scripts/generate_workbench.py <模型目录> <输出目录> python -m unittest discover -s open-model-workbench/tests -p "test_*.py" -v ```
Skill 本体位于 [`open-model-workbench/`](open-model-workbench/)。
## 联系方式
<img width="940" height="1705" alt="6f51368d9e6a013681f535bdb1816f0b" src="https://github.com/user-attachments/assets/ff77b0e2-90eb-4ac0-a555-837ec938ca9a" />
## License
项目代码使用 [MIT License](LICENSE)。Three.js 与 Lucide 等第三方资源保留各自许可证,许可证文件随 Skill 一同分发。
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 18, 2026
- Published
- Jul 31, 2026
Frameworks & tools
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 81/100
- 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 Open Model Workbench, ready for a manual X post.
A practical pick for the next repo task: Open Model Workbench: 开箱即用的 3D 模型构图工作台 Codex Skill。 29 stars https://www.openagentskill.com/skills/icejyzy0430-open-model-workbench?ref=x
Optional reply with install command
Listing + install path for Open Model Workbench: https://www.openagentskill.com/skills/icejyzy0430-open-model-workbench?ref=x Install: npx skills add icejyzy0430/open-model-workbench
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- icejyzy0430
- 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 icejyzy0430 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/icejyzy0430-open-model-workbench)
[](https://www.openagentskill.com/skills/icejyzy0430-open-model-workbench)
[](https://www.openagentskill.com/skills/icejyzy0430-open-model-workbench/audit)
[](https://www.openagentskill.com/skills/icejyzy0430-open-model-workbench)Author
icejyzy0430
@icejyzy0430
Platform fit
Health signals
- GitHub stars
- 29
- Quality score
- 41/100
- Last GitHub push
- Jul 29, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 6
- 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 adoption29 GitHub starsCHECK
- Stars/forks activity29 stars, 4 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance25d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskcommand execution surfaceINFO
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