agent-brush

agent-brush is a skill for Claude Code from ultrathink-art/agentbrush. It costs 48 tokens per session (1,562 once invoked), scanned A, original, MIT.

A command-line image editing toolkit for processing and checking bitmap images. It supports tasks such as removing backgrounds, compositing images, adding text, resizing, and converting formats.

In plain words
What is it for?
Removing solid or green-screen backgrounds, cleaning edges, combining images, rendering text, resizing files, converting formats, and validating images for uses such as icons, thumbnails, and social posts.
Why use it?
It handles repetitive image preparation tasks and can detect some output problems against defined specifications.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Removing solid or green-screen backgrounds, cleaning edges, combining images, rendering text, resizing files, converting formats, and validating images for uses such as icons, thumbnails, and social posts.

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Install with agentmods
npx agentmods add skills/ultrathink-art/agentbrush/agent-brush
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 ultrathink-art/agentbrush --skill agent-brush
Clone the repo
git clone --depth 1 https://github.com/ultrathink-art/agentbrush

Made for: Claude Code.

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 agent-brush

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ultrathink-art/agentbrush/agent-brush"><img src="https://agentmods.dev/badge/skills/ultrathink-art/agentbrush/agent-brush.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,562 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01562
Opus 5 $0.00024 $0.00781
Sonnet 5 $0.00010 $0.00312
Haiku 4.5 $0.00005 $0.00156

Measured 9d ago against content hash d1ad0b67b478, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agent-brush 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 9d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/add_text.py, scripts/border_cleanup.py, scripts/composite.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.

skill/agent-brush/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentBrush — Image Editing for AI Agents

Image processing toolkit with background removal, green screen processing, border cleanup, text rendering, compositing, resizing, validation, and format conversion.

Quick Reference

All commands follow: agentbrush <command> <input> <output> [options]

Background Removal (edge-based flood fill — NEVER threshold-based)

# Remove black background
agentbrush remove-bg input.png output.png --color black --threshold 25

# Remove white background with edge smoothing
agentbrush remove-bg input.png output.png --color white --smooth

# Remove custom color background
agentbrush remove-bg input.png output.png --color "24,242,41" --threshold 40

Green Screen Removal (multi-pass pipeline)

# Standard green screen removal
agentbrush greenscreen input.png output.png

# With upscale + halo cleanup
agentbrush greenscreen input.png output.png --upscale 3 --halo-passes 20

Exits 1 when green survives enclosed by artwork (a see-through slit, a gap between two limbs, a window in a prop). Edge flood fill can only reach the field connected to the border, so an enclosed pocket structurally cannot be removed — it prints as a coloured bar inside the artwork. The error names its bbox and pixel count; the output file is still written so it can be repaired.

# Audit an existing cutout (key sampled from the pre-removal file = hard gate)
agentbrush validate trapped-green cutout.png --source original.png

# No source file left? Chroma heuristic — WARNING only, it also matches
# deliberate green artwork (terminal screens, foliage, matrix rain)
agentbrush validate trapped-green cutout.png

# Enclosed green really is artwork:
agentbrush greenscreen input.png output.png --allow-trapped-green

Border Cleanup (edge artifact removal)

# Remove white border artifacts from AI-generated images
agentbrush border-cleanup input.png output.png --passes 15 --threshold 185

# Full cleanup: white border + green halo + alpha smoothing
agentbrush border-cleanup input.png output.png --passes 15 --green-halo-passes 20 --alpha-smooth

Read the full file on GitHub · 187 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. 9d ago First seen · 187 lines · 48 tokens per session scan A d1ad0b67b478

Subscribe to this mod's changes

agent-brush is a skill published in the GitHub repository ultrathink-art/agentbrush (9 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 1,562 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 2026-08-31.

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