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 agent-image-generationgit 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/agent-image-generation)<a href="https://agentmods.dev/skills/danielgwilson/luxin/agent-image-generation"><img src="https://agentmods.dev/badge/skills/danielgwilson/luxin/agent-image-generation.svg" alt="Measured on agentmods" 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 | $0.00093 | $0.01133 |
| Opus 5 | $0.00046 | $0.00566 |
| Sonnet 5 | $0.00019 | $0.00227 |
| Haiku 4.5 | $0.00009 | $0.00113 |
Grade A, and why
agent-image-generation 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 7d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- ai-video-generation — 89% identical, 18 lines differ
- image-to-3d — 88% identical, 18 lines differ
- ai-image-generation — 86% identical, 18 lines differ
- ai-audio-generation — 84% identical, 18 lines differ
- image-edit — 83% identical, 18 lines differ
- creative-media — 83% identical, 18 lines differ
- image-skill — 78% identical, 18 lines differ
- image-generation — 75% identical, 18 lines differ
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.
Agent Image Generation
This is an intent-named Luxin entry for agents searching for agent image generation. 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 an agent to generate images, create AI images, run text-to-image or prompt-to-image, produce concept art, make product images, or keep durable hosted image assets in an agent-owned workflow.
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-agent-image-generation npm_config_update_notifier=false npx -y luxin-cli@latest create --guide --model openai.gpt-image-2 --prompt "a compact field camera on a stainless workbench"
Main Runtime Command
IMAGE_SKILL_DISCOVERY_SOURCE=skills-sh-agent-image-generation npm_config_update_notifier=false npx -y luxin-cli@latest create --model openai.gpt-image-2 --prompt "PROMPT" --intent explore --max-estimated-usd-per-image 0.07
Install This Intent Skill
Prefer the GitHub slug so skills.sh can track the marketplace install:
npx skills add danielgwilson/luxin --full-depth --skill agent-image-generation -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.
- 7d ago First seen · 103 lines · 93 tokens per session scan A 849553cf830f
agent-image-generation is a skill published in the GitHub repository danielgwilson/luxin (1 stars, last pushed 17d ago), licensed MIT. It adds 93 tokens to every session and 1,133 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
cg_video
Use this Skill for text-to-video, first-frame-to-video, first/last-frame transitions, and reference-image-conditioned CG-video generation. Generate video only after the game plan defines its narrative purpose, visual style, shot, duration, and acceptance criteria.
image
Use this Skill when a game plan needs a single-subject concept image, a character reference cleaned for image-to-3D, or a front-facing transparent T-pose image for downstream character reconstruction. T-pose generation is an image-generation and image-editing task; it is not a separate asset category.
audio
Use this Skill when a game plan requires dialogue, voice lines, sound effects, foley, ambience, or other offline WAV assets. This is asset generation, not a runtime audio-playback contract; use the selected engine context after an asset has passed review.
game-cg-director
Convert game CG intent and optional media references into validated, model-specific directing envelopes for opening, cutscene, ultimate, or promo clips. Use for standalone CG prompt direction or as a child capability of a game-generation Harness. Supports T2VA/text-only, I2VA/first-frame image…
3d_scene
Choose how to build a 3dscene asset. Do not default to one pipeline for every task: what the user specified about the scene's appearance matters more than the scene type, and generative reconstruction is the least stable route here.
travel-plan-viz
A tool that turns a travel plan into a single HTML page designed for phones and offline reading. The page can include an interactive map, a daily timeline, and reminders to book things before departure.