generate2dmedia

generate2dmedia is a skill for Claude Code, Codex from gabrielmoreira/agent-skills-mirror. It costs 211 tokens per session (2,321 once invoked), scanned A, a copy of generate2dmedia, MIT.

A routing layer that generates images or short image-to-video clips through a configured provider or another available route. It checks which routes are available and passes media requests to them.

In plain words
What is it for?
Use it when another Forge workflow needs an image, an edited reference image, or an image-to-video clip, or when configuring a provider route or checking spend.
Why use it?
It separates choosing an available media-generation route from planning and packaging a finished asset. This helps handle different provider keys and local options without claiming that every route is available.

Skill for Claude CodeCodex

Written for Claude Code and Codex: ${CLAUDE_SKILL_DIR} variable, but also agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it when another Forge workflow needs an image, an edited reference image, or an image-to-video clip, or when configuring a provider route or checking spend.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gabrielmoreira/agent-skills-mirror/generate2dmedia
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.

Any agent
npx skills add gabrielmoreira/agent-skills-mirror --skill generate2dmedia
Clone the repo
git clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirror

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for generate2dmedia

README.md
[![agentmods](https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/generate2dmedia/github.svg)](https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/generate2dmedia)
Your own site
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/generate2dmedia"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/generate2dmedia/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.

agentmods 80×15 button for generate2dmedia

Your own site · 80×15
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/generate2dmedia"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/generate2dmedia.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 211 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,321 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00211 $0.02321
Opus 5.5 $0.00084 $0.00928
Sonnet 5.5 $0.00042 $0.00464
Haiku 4.5 $0.00021 $0.00232

Measured 10d ago against content hash 26f8c9fef202, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generate2dmedia 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 10d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/cli_media.py, scripts/forge_doctor.py, scripts/generate_media.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to generate2dmedia — 0 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.

mirrors/repos/0x0funky@agent-sprite-forge/skills/generate2dmedia/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate 2D Media

The route layer. It makes raw media; the owning skill plans the asset before and checks it after.

Use when

  • Any Forge skill (or its pipeline script) needs a generated image, reference edit or image-to-video clip.
  • Once per session, to see which routes work here (forge_doctor.py).
  • The user asks to configure an API key, to use a particular route, or about spend.

Do not use when

Route order (owner decision 2026-10-06)

  1. API, every provider whose key is configured, in this order (the user's providers.order goes first). Images: OpenAI (gpt-image-2.5-sunburst), Google Gemini (gemini-3.1-flash-image; --tier hero takes gemini-3-pro-image for hero masters), xAI (grok-imagine-image-2.0), BytePlus ModelArk (Seedream 5.0), fal.ai (reference edits). Video: xAI (grok-imagine-video-1.5; --tier draft takes 1.5 Lite), BytePlus ModelArk (Seedance 2.0), fal.ai (Kling v3, Veo 3.1, Luma, MiniMax, Wan, Vidu, LTX). A configured key is the owner's consent: no per-call question.
  2. Local: your own image tool if you have one (Codex image_gen, Grok's native tools), otherwise the user's signed-in CLI: Codex (local CLI) image_gen with references attached, then Grok (local CLI) one-shot image or edit; video Grok (local CLI) in ACP mode. An installed CLI is used as is; its first successful run records the VERIFIED proof.
  3. codeart2d, only when the user explicitly asks for code-drawn art or route_media.py prints no-route (exit 3).

Always name the route that ran ("OpenAI API", "Google Gemini API", "xAI API", "BytePlus ModelArk API", "fal.ai API", "Codex (local CLI)", "Grok (local CLI)"). Details: route-media.md.

Capability check (once per session)

Read the full file on GitHub · 74 lines

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. 10d ago First seen · 74 lines · 211 tokens per session scan A 26f8c9fef202

Subscribe to this mod's changes

generate2dmedia is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (19 stars, last pushed yesterday), licensed MIT. It adds 211 tokens to every session and 2,321 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to generate2dmedia, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens