What is muapi-action-figure-generator?

A photo-to-toy workflow that turns a person’s photo into a stylized 3D action figure shown in collectible blister packaging.

Use it to create a superhero, doctor, explorer, or science-fiction action figure from a clear photo. A photo is required; the toy theme is optional and defaults to superhero.

It provides a defined way to preserve the person’s likeness while choosing a toy theme and packaging style.

muapi-action-figure-generator — Skill for Claude Code and Codex by Sam

About the project

Generative-Media-Skills is a toolkit that lets AI agents generate, edit, and display images, videos, and audio through the muapi command-line interface. It is for users of Claude Code, Cursor, Gemini CLI, and OpenCode who need multimodal media-generation workflows. The catalogue entries are the skills that expose these media capabilities to coding agents.

SamurAIGPT/Generative-Media-Skills · 4,263 stars · on GitHub · muapi.ai

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 SamurAIGPT/Generative-Media-Skills --skill action-figure-generator

Clone the repo

git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/action-figure-generator/github.svg)](https://agentmods.dev/skills/samuraigpt/generative-media-skills/action-figure-generator)

Your own site

<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/action-figure-generator"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/action-figure-generator/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/action-figure-generator"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/action-figure-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 604 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Data Exfiltration · line 47
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
medium Data Exfiltration · line 47
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.

How audits are shown

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00028	$0.00604
Opus 5	$0.00014	$0.00302
Sonnet 5	$0.00006	$0.00121
Haiku 4.5	$0.00003	$0.00060

Measured 12d ago against content hash 6ce9d749b55a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

muapi-action-figure-generator scanned grade B 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 12d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with

Makes network callslowCapability

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

- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with

library/visual/action-figure-generator/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Action Figure Generator

Convert a photo of a person into a custom 3D action figure, complete with collectible toy packaging.

Inputs

Name	Type	Required	Default	Description
`user_image`	image_url	yes	—	A clear photo of the person to be turned into an action figure.
`toy_theme`	text	no	superhero	The theme of the action figure (e.g. superhero, doctor, explorer, sci-fi).

Steps

Phase A — Action Figure Creation

If {{user_image}} is not provided, ask the user to upload their photo.

Once the photo is available, submit the plan with ONE step to generate the action figure:

Action Figure Generation — muapi image edit (model=nano-banana-2-edit):
- Reference Image: {{user_image}}
- Prompt: A high-quality 3D stylized action figure based on the person in the input image. The action figure should maintain the person's likeness (face, hairstyle, skin tone) but be rendered as a plastic toy with visible joints and a semi-glossy finish. The character is dressed in a {{toy_theme}} outfit. The figure is displayed inside its original collectible cardboard and plastic blister packaging. The packaging has the person's name printed on it and features clean, modern graphic design. Soft studio lighting, realistic plastic textures, 8k resolution, cinematic look.
- Aspect ratio: 1:1 or 4:5

Present the generated action figure to the user. You can also suggest creating different themes (e.g., changing the character from a doctor to a space explorer).

Trigger Keywords

action figure, custom toy, toy packaging, character toy, collectible figure

Notes for the Executing Agent

This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

Read the full file on GitHub · 49 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.

12d ago First seen · 49 lines · 28 tokens per session scan B 6ce9d749b55a

Subscribe to this mod's changes

muapi-action-figure-generator is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (4,263 stars, last pushed 3d ago), licensed MIT. It adds 28 tokens to every session and 604 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, 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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