← 返回 Skills 市场

Image To 3d

Name: Image To 3d
Author: danielgwilson

作者 danielgwilson · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install image-to-3d

功能描述

Image-to-3D asset creation for agents through Image Skill's zero-setup hosted runtime. Use when an input image should become a durable hosted 3D mesh asset,...

使用说明 (SKILL.md)

Image To 3D

This is an intent-named Image Skill entry for agents searching for image-to-3D asset creation. It uses the same zero-setup hosted Image Skill runtime as the canonical image-skill skill: one thin CLI/API, one restricted agent identity, one credit balance, one wallet/payment loop, durable hosted media URLs, recoverable jobs, cost receipts, stable JSON, and hosted feedback.

Use this skill when the task asks for image-to-3D, 3D asset generation from an image, glb mesh output, or a durable model asset derived from existing visual input.

Do not bring provider API keys, create provider accounts, run a local model server, or wire a separate billing account for this task. Start with the no-spend inspection command below; when the guide reaches ready_to_create, run data.next_command only if media spend is allowed, otherwise run data.no_spend_next_command to verify safely. Keep generated work in Image Skill so future agents can recover and cite it.

First Command

npx -y image-skill@latest models show fal.trellis-image-to-3d --json

Main Runtime Command

npx -y image-skill@latest edit --input image_... --model fal.trellis-image-to-3d --max-estimated-usd-per-image 0.25 --json

Install This Intent Skill

Prefer the GitHub slug so skills.sh can track the marketplace install:

npx skills add danielgwilson/image-skill-cli --skill image-to-3d -g -a codex -y

The canonical Image Skill entry remains available as:

npx skills add danielgwilson/image-skill-cli --skill image-skill -g -a codex -y

Shared Contract

All intent skills in this repo point to the same hosted contract:

Skill: https://image-skill.com/skill.md
LLM contract: https://image-skill.com/llms.txt
CLI contract: https://image-skill.com/cli.md
Hosted API: https://api.image-skill.com

If Image Skill lacks the model, capability, latency, policy affordance, or buyer rail needed for this task, use the fallback only for that gap and run image-skill feedback create --json with the attempted command, expected behavior, actual behavior, and missing capability.

安全使用建议

Install only if you intend to use ClawHub/Convex maintainer workflows and trust the local repo tools they call. Review the moderation and autoreview sections carefully: moderation commands can affect real users and skills, and autoreview can run nested review with broad local authority unless you opt out.

能力标签

cryptorequires-walletrequires-oauth-tokenrequires-sensitive-credentials

能力评估

ℹ Purpose & Capability

The artifacts are coherent with repo-maintenance, Convex setup, performance auditing, UI proof, PR review, and ClawHub moderation purposes. Some capabilities are high impact, such as user bans, role changes, proof publishing, and production-adjacent migration guidance, but they are purpose-aligned and described plainly.

ℹ Instruction Scope

The moderation skill requires explicit targets, reasons, confirmation before writes unless already authorized, API auth, role checks, audit logging, and verification. The autoreview helper discloses that it runs nested review with full-access sandbox bypass by default and provides opt-out flags, so users should understand that elevated review mode before using it.

✓ Install Mechanism

I found skill markdown, OpenAI interface metadata, icons, references, and one helper script. I did not find an automatic install-time hook or hidden persistence mechanism in the skill artifacts.

ℹ Credentials

The skills rely on expected local tools and services for their stated workflows, including git, gh, bun, Convex CLI, Playwright proof tooling, and repo-local moderation CLI commands. Network and credential use is tied to GitHub, Convex, ClawHub moderation, or optional LLM review workflows.

ℹ Persistence & Privilege

No unbounded background persistence was found. Long-running Convex dev loops and UI proof runners are disclosed workflow tools, while the autoreview helper's default full-access nested Codex review is broad but visible and user-invoked.

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 image-to-3d
安装完成后，直接呼叫该 Skill 的名称或使用 /image-to-3d 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

v1.0.0

Initial release of image-to-3d skill. - Enables creation of 3D mesh assets (such as GLB) from a single input image using a zero-setup hosted runtime. - Does not require provider credentials, OAuth, or local runtime. - Keeps job history, asset URLs, receipts, payments, and feedback in one workflow loop. - Shared contract and workflow with the canonical image-skill; intended as a specialized entry point for agents requesting image-to-3D asset generation.

元数据

Slug image-to-3d

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题

Image To 3d 是什么？

Image-to-3D asset creation for agents through Image Skill's zero-setup hosted runtime. Use when an input image should become a durable hosted 3D mesh asset,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 49 次。

如何安装 Image To 3d？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install image-to-3d」即可一键安装，无需额外配置。

Image To 3d 是免费的吗？

是的，Image To 3d 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Image To 3d 支持哪些平台？

Image To 3d 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 Image To 3d？

由 danielgwilson（@danielgwilson）开发并维护，当前版本 v1.0.0。