Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add hmaurus/masterclaude/plugin install image-toolsWrote 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.
[](https://agentmods.dev/skills/hmaurus/masterclaude/split)<a href="https://agentmods.dev/skills/hmaurus/masterclaude/split"><img src="https://agentmods.dev/badge/skills/hmaurus/masterclaude/split/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.
<a href="https://agentmods.dev/skills/hmaurus/masterclaude/split"><img src="https://agentmods.dev/badge/skills/hmaurus/masterclaude/split.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00151 | $0.01688 |
| Opus 5.5 | $0.00060 | $0.00675 |
| Sonnet 5.5 | $0.00030 | $0.00338 |
| Haiku 4.5 | $0.00015 | $0.00169 |
Grade A, and why
split 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Split
Ferramenta para dividir imagens em múltiplas partes independentes: grade regular, faixas horizontais/verticais, e auto-detecção de elementos em fundo uniforme.
Usa Pillow + numpy + OpenCV (headless) em virtualenv isolado em ~/venvs/image-split/.
Setup
Verificar se já está instalado
test -f ~/venvs/image-split/bin/python && ~/venvs/image-split/bin/python -c "import PIL; import numpy; print('OK')" || echo "PRECISA_INSTALAR"
Instalar (se necessário)
bash ${CLAUDE_PLUGIN_ROOT}/skills/split/scripts/setup.sh
Uso
~/venvs/image-split/bin/python ${CLAUDE_PLUGIN_ROOT}/skills/split/scripts/split.py INPUT --OPERAÇÃO [OPÇÕES]
Cada operação gera múltiplos arquivos em uma pasta de saída. Por padrão cria <nome>_split/ ao lado do arquivo original.
Referência rápida
| Operação | Flag | Exemplo | Resultado |
|---|---|---|---|
| Grade | --grid CxR |
--grid 4x3 |
12 pedaços (4 col × 3 linhas) |
| Faixas horiz. | --split-h N |
--split-h 3 |
3 faixas de cima para baixo |
| Faixas vert. | --split-v N |
--split-v 2 |
2 faixas esquerda para direita |
| Auto-detect | --auto-split |
--auto-split |
N elementos detectados |
Grid (grade regular)
--grid CxR divide a imagem em C colunas × R linhas.
# Sprite sheet 4 colunas × 3 linhas = 12 sprites
~/venvs/image-split/bin/python ${CLAUDE_PLUGIN_ROOT}/skills/split/scripts/split.py sprites.png --grid 4x3
# Collage 2×2
~/venvs/image-split/bin/python ${CLAUDE_PLUGIN_ROOT}/skills/split/scripts/split.py collage.jpg --grid 2x2
Arquivos de saída seguem o padrão: {nome}_r{linha}_c{coluna}.{ext}
Split horizontal
--split-h N divide em N faixas horizontais iguais (cortes de cima para baixo).
# Banner longo → 3 partes iguais
~/venvs/image-split/bin/python ${CLAUDE_PLUGIN_ROOT}/skills/split/scripts/split.py banner.jpg --split-h 3
Arquivos de saída: {nome}_strip_{n}.{ext}
Split vertical
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.
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 · 163 lines · 151 tokens per session scan A 05153f5f9122
split is a skill published in the GitHub repository hmaurus/masterclaude (2 stars, last pushed 3mo ago), licensed MIT. It adds 151 tokens to every session and 1,688 once invoked, about $0.0006 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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