deploy-generator

A deployment setup for a scene-generation system called Genie Sim. It starts the asset servers and Open WebUI, a browser-based interface for using AI tools, with Docker Compose and one selected embedding backend.

In plain words
What is it for?
Use it to start the services needed for scene generation and asset retrieval, or to set up Open WebUI for the scene-generation workflow.
Why use it?
It avoids starting each service and choosing the supporting search component manually. The description does not specify which embedding backends are available.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/agibottech/genie_sim/deploy-generator
Any agent
npx skills add AgibotTech/genie_sim --skill deploy-generator
Clone the repo
git clone --depth 1 https://github.com/AgibotTech/genie_sim

Made for: Claude Code, Codex.

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,060 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00102 $0.02060
Opus 5 $0.00051 $0.01030
Sonnet 5 $0.00020 $0.00412
Haiku 4.5 $0.00010 $0.00206

Measured 2d ago against content hash 0b9f8449ee62, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

deploy-generator scanned grade C with 2 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 2d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

`curl -s localhost:8765/assets-agent/openapi.json | python3 -m json.tool | grep paths`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`curl -s localhost:8765/assets-agent/openapi.json | python3 -m json.tool | grep paths`
source/geniesim_generator/skills/deploy-generator/SKILL.md · 177 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 2d ago First seen · 177 lines · 102 tokens per session scan C 0b9f8449ee62

Subscribe to this mod's changes

deploy-generator is a skill published in the GitHub repository AgibotTech/genie_sim (1,369 stars, last pushed yesterday), with no licence file. It adds 102 tokens to every session and 2,060 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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