What is background-removal?

An image-editing skill for removing backgrounds with local image-segmentation models, which separate the subject from the rest of a picture, and saving the result as a transparent PNG.

Creating product cutouts, portrait and avatar images, or image elements for compositing; it can also prepare website logos and favicons for later cropping and optimization.

It turns a photo or product image into a cutout that can be placed on another background. It also provides model choices for balancing speed, memory use, and edge quality.

background-removal — Skill for Claude Code and Codex by jgkme

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 jgkme/img-gen-mcp --skill background-removal

Clone the repo

git clone --depth 1 https://github.com/jgkme/img-gen-mcp

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/jgkme/img-gen-mcp/background-removal/github.svg)](https://agentmods.dev/skills/jgkme/img-gen-mcp/background-removal)

Your own site

<a href="https://agentmods.dev/skills/jgkme/img-gen-mcp/background-removal"><img src="https://agentmods.dev/badge/skills/jgkme/img-gen-mcp/background-removal/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/jgkme/img-gen-mcp/background-removal"><img src="https://agentmods.dev/badge/skills/jgkme/img-gen-mcp/background-removal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 281 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 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	$0.00021	$0.00281
Opus 5.5	$0.00008	$0.00112
Sonnet 5.5	$0.00004	$0.00056
Haiku 4.5	$0.00002	$0.00028

Measured 1mo ago against content hash 9b36e3ec879f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

background-removal 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 1mo 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.

skills/background-removal/SKILL.md · 36 lines

What it actually says

Background Removal

Use this skill when the task is to remove a background from an image with background_remove.

Tool guidance

Use input_image for the source image.
Use output_path to save the transparent PNG to a known location.
Use model to choose the local segmentation model.
Supported local models:
- u2netp for speed
- modnet for balance
- briaai for higher quality
Use max_resolution when you need to cap processing size or keep memory use lower.
Use backend=withoutbg when you want the shared daemon for harder edges.

When to use

Product shots
Portrait cutouts
Avatar extraction
Compositing into new scenes

Good practice

Pick modnet unless the image is very simple or very detail-sensitive.
Use briaai for quality-sensitive cutouts.
Use u2netp when speed matters most.
Expect a real PNG with transparency, not a text response.
For website logos and favicons, follow up with website-asset-workflow so the cutout gets cropped, resized, and optimized correctly.

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.

1mo ago First seen · 36 lines · 21 tokens per session scan A 9b36e3ec879f

Subscribe to this mod's changes

background-removal is a skill published in the GitHub repository jgkme/img-gen-mcp (3 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 281 once invoked, about $0.0001 per session on Opus 5.5. 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.

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