image-studio

image-studio is a skill for Claude Code, Codex from vellum-ai/vellum-assistant. It costs 49 tokens per session (1,376 once invoked), scanned A, original, MIT.

An image creation and editing tool that turns text descriptions into images and changes photos or graphics supplied by the user.

In plain words
What is it for?
Generating image variations, removing backgrounds or watermarks, retouching, restyling, and filling in parts of images.
Why use it?
It helps produce visual assets or modify existing ones without having to edit them manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Generating image variations, removing backgrounds or watermarks, retouching, restyling, and filling in parts of images.

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Install with agentmods
npx agentmods add skills/vellum-ai/vellum-assistant/image-studio
About the project

Vellum Assistant is a personal AI assistant that remembers information about users, learns their preferences, and takes actions across connected apps. It is intended for people who want an assistant that can manage conversations, unfinished work, and proactive notifications over time. The catalogue skills, hooks, instruction, and setting configure or extend how the assistant works.

vellum-ai/vellum-assistant · 1,214 stars · on GitHub · vellum.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 vellum-ai/vellum-assistant --skill image-studio
Clone the repo
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant

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 image-studio

README.md
[![agentmods](https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/image-studio/github.svg)](https://agentmods.dev/skills/vellum-ai/vellum-assistant/image-studio)
Your own site
<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/image-studio"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/image-studio/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 image-studio

Your own site · 80×15
<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/image-studio"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/image-studio.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,376 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01376
Opus 5 $0.00024 $0.00688
Sonnet 5 $0.00010 $0.00275
Haiku 4.5 $0.00005 $0.00138

Measured 10d ago against content hash 53a3c4669dda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

image-studio 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 1 executable file (tools/media-generate-image.ts), 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.

assistant/src/config/bundled-skills/image-studio/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use the media_generate_image tool via skill_execute to create or edit images.

Modes

  • generate (default): Create a new image from a text prompt.
  • edit: Modify an existing image. Requires one or more source images via source_paths.

Models

Do not pass the model parameter unless you need a specific tier. Omitting it uses the configured default, which is correct for most requests.

When you do need to choose, use an alias, not a concrete model ID. Aliases always resolve to the current model for that tier:

  • fast: quickest, good quality (default tier)
  • quality: higher fidelity, slower
  • openai: OpenAI's model; most permissive on photo edits

Pass a concrete model ID only if the user names one explicitly. If the tool rejects an unknown model ID, the error lists the currently available models and aliases.

Example calls

Generate (no model parameter, default is correct):

{ "tool": "media_generate_image", "input": { "prompt": "A sunset over the ocean, golden hour, soft haze, 35mm photo style", "variants": 2 } }

Edit:

{ "tool": "media_generate_image", "input": { "prompt": "Remove the watermark text from the background. Keep the subject, framing, lighting, and colors exactly identical. Change nothing else.", "mode": "edit", "source_paths": ["conversations/<conv-id>/attachments/photo.jpeg"], "model": "openai" } }

source_paths is a flat array of file path strings. Do NOT pass objects:

  • Wrong: "source_paths": [{ "path": "img.jpeg" }] → schema validation error
  • Right: "source_paths": ["img.jpeg"]

Source images for edit mode

  • Paths resolve inside the workspace. Conversation attachments live under conversations/<conversation-id>/attachments/; prefer that path for images the user attached.
  • Host paths (e.g. ~/Desktop/photo.jpg) only work if the file arrived as an attachment; the tool falls back to the stored workspace copy. If the user references a host file that was never attached, pull it into the workspace first, then pass the workspace path.

Read the full file on GitHub · 93 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 93 lines · 49 tokens per session scan A 53a3c4669dda

Subscribe to this mod's changes

image-studio is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,214 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 1,376 once invoked, about $0.0002 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 2026-08-30.