image-sprout

image-sprout is a skill for Claude Code from tmchow/tmc-marketplace. It costs 64 tokens per session (1,432 once invoked), scanned A, original, MIT.

A tool for creating and refining image-generation projects while keeping visual style and the identity of subjects consistent across outputs.

In plain words
What is it for?
Use it to generate image sets, iterate on previous results, manage reference material, and run repeatable image-generation commands.
Why use it?
It keeps reference images, style instructions, and other project context together so later generations can build on earlier work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the image-sprout plugin — 1 skill shipped together

Good fit Use it to generate image sets, iterate on previous results, manage reference material, and run repeatable image-generation commands.

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Install with agentmods
npx agentmods add skills/tmchow/tmc-marketplace/image-sprout
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 tmchow/tmc-marketplace --skill image-sprout
Clone the repo
git clone --depth 1 https://github.com/tmchow/tmc-marketplace

Made for: Claude Code.

Or install image-sprout, the plugin that ships this one along with the rest of its 1 skill.

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-sprout

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmchow/tmc-marketplace/image-sprout/github.svg)](https://agentmods.dev/skills/tmchow/tmc-marketplace/image-sprout)
Your own site
<a href="https://agentmods.dev/skills/tmchow/tmc-marketplace/image-sprout"><img src="https://agentmods.dev/badge/skills/tmchow/tmc-marketplace/image-sprout/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-sprout

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmchow/tmc-marketplace/image-sprout"><img src="https://agentmods.dev/badge/skills/tmchow/tmc-marketplace/image-sprout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,432 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 $0.00064 $0.01432
Opus 5.5 $0.00026 $0.00573
Sonnet 5.5 $0.00013 $0.00286
Haiku 4.5 $0.00006 $0.00143

Measured 1mo ago against content hash 992156aae097, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

image-sprout 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.

plugins/image-sprout/skills/image-sprout/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

image-sprout

Generate and iterate on images with consistent style and subject identity. Image Sprout turns reusable project context — reference images, derived guides, and persistent instructions — into repeatable outputs you can build on across runs.

Use this skill when:

  • The user asks to generate images and wants results that stay consistent across multiple runs
  • The user wants to iterate on outputs from a previous generation
  • The user needs to set up or manage an image project with references or style context
  • The workflow requires structured, scriptable image generation with --json output

1. Installation

Install globally from npm:

npm install -g image-sprout

Or run without installing — prefer this in Codex sandbox environments where PATH is unreliable:

npx image-sprout help

All examples below use npx image-sprout. Substitute image-sprout directly if you have a global install.

2. OpenRouter Key Setup

Image Sprout stores its OpenRouter key on disk. Set it once per machine:

npx image-sprout config set apiKey <your-openrouter-key>
npx image-sprout config show    # confirm key is set (does not reveal the raw key)

3. The Project Model

Three context layers drive every generation:

  • Visual Style — consistent look and feel across outputs
  • Subject Guide — consistent subject identity across outputs
  • Instructions — persistent generation constraints (watermarks, framing, branding)

Two reference pools:

  • Shared refs — drive both guides (default, simplest)
  • Split refs — separate style and subject pools (advanced; use --role style or --role subject when adding)

Understanding this model prevents the most common agent mistake: generating without saved context and wondering why outputs are inconsistent.

4. Core CLI Workflow

# Create a project
npx image-sprout project create <name>

# Add references (3+ recommended; more refs = better derivation)
npx image-sprout ref add --project <name> ./ref1.png ./ref2.png ./ref3.png

# Optional: persistent instructions
npx image-sprout project update <name> --instructions "Watermark bottom-right: subtle."

# Derive guides from refs
npx image-sprout project derive <name> --target both   # or: style, subject

# Check readiness before generating
npx image-sprout project status <name> --json

# Generate (--count controls images per run: 1, 2, 4, 6; default is 4)
npx image-sprout project generate <name> --prompt "hero in neon rain"
npx image-sprout project generate <name> --prompt "hero in neon rain" --count 1

# Inspect results
npx image-sprout run latest --project <name> --json

# Delete a session and all its runs/images
npx image-sprout session delete --project <name> <session-id>

Read the full file on GitHub · 156 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. 1mo ago First seen · 156 lines · 64 tokens per session scan A 992156aae097

Subscribe to this mod's changes

image-sprout is a skill published in the GitHub repository tmchow/tmc-marketplace (22 stars, last pushed 7mo ago), licensed MIT. It adds 64 tokens to every session and 1,432 once invoked, about $0.0003 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 2026-08-30.

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