Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add danielgwilson/luxin --skill image-to-3dgit clone --depth 1 https://github.com/danielgwilson/luxinWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/danielgwilson/luxin/image-to-3d)<a href="https://agentmods.dev/skills/danielgwilson/luxin/image-to-3d"><img src="https://agentmods.dev/badge/skills/danielgwilson/luxin/image-to-3d/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/danielgwilson/luxin/image-to-3d"><img src="https://agentmods.dev/badge/skills/danielgwilson/luxin/image-to-3d.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00120 | $0.01160 |
| Opus 5 | $0.00060 | $0.00580 |
| Sonnet 5 | $0.00024 | $0.00232 |
| Haiku 4.5 | $0.00012 | $0.00116 |
Grade A, and why
image-to-3d scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
88% identical to agent-image-generation — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image To 3D
This is an intent-named Luxin entry for agents searching for image-to-3D asset creation. It uses the same zero-setup hosted Luxin runtime as the canonical luxin 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 guide command below; when the guide reaches ready_to_create, run data.next_command only if data.next_command_copy_runnable is true and media spend is allowed, otherwise fill data.next_command_missing_inputs or run data.recommended_no_spend_command to verify safely. Keep generated work in Luxin so future agents can recover and cite it.
First Command
IMAGE_SKILL_DISCOVERY_SOURCE=skills-sh-image-to-3d npm_config_update_notifier=false npx -y luxin-cli@latest create --guide --prompt "turn one product photo into a textured 3d mesh"
Main Runtime Command
IMAGE_SKILL_DISCOVERY_SOURCE=skills-sh-image-to-3d npm_config_update_notifier=false npx -y luxin-cli@latest edit --input image_... --model fal.trellis-image-to-3d --max-estimated-usd-per-image 0.04 --json
Install This Intent Skill
Prefer the GitHub slug so skills.sh can track the marketplace install:
npx skills add danielgwilson/luxin --full-depth --skill image-to-3d -g -a codex -y
The canonical Luxin entry remains available as:
npx skills add danielgwilson/luxin --full-depth --skill luxin -g -a codex -y
If the Codex/global skill target is read-only or missing, keep the tracked slug
install and point agent skill state at a writable workspace home before
rerunning this intent install. The skills.sh Codex adapter writes to
$HOME/.agents; CODEX_HOME keeps Codex profile state on the same writable
path:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 103 lines · 120 tokens per session scan A 420826a41de1
image-to-3d is a skill published in the GitHub repository danielgwilson/luxin (1 stars, last pushed 19d ago), licensed MIT. It adds 120 tokens to every session and 1,160 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to agent-image-generation, differing in 18 lines, and is treated as a copy.
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