pencil4img

An image conversion tool that turns a picture into a pencil-sketch style image.

In plain words
What is it for?
Converting photos or other image files into pencil drawings or sketches.
Why use it?
It provides a sketch-style version of an existing image without requiring manual drawing.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/coderwanfeng/python-office/pencil4img
Any agent
npx skills add CoderWanFeng/python-office --skill pencil4img
Clone the repo
git clone --depth 1 https://github.com/CoderWanFeng/python-office

Made for: Claude Code, Codex.

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00040 $0.00294
Opus 5 $0.00020 $0.00147
Sonnet 5 $0.00008 $0.00059
Haiku 4.5 $0.00004 $0.00029

Measured yesterday against content hash ccc3caf66a5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pencil4img 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (__init__.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.

skills/image/pencil4img/SKILL.md · 52 lines

What it actually says

pencil4img Skill

使用 pencil4img 算法处理图像

功能描述

将输入的图像转换为铅笔画风格的图像。

所属分类

office/skills/image/pencil4img/

调用方式

from skills.image import pencil4img

pencil4img(
    input_img='./test.jpg',
    output_path='./',
    output_name='pencil4img.jpg'
)

参数说明

参数 类型 必填 默认值 说明
input_img str - 输入的图像文件路径
output_path str './' 输出图像的路径
output_name str 'pencil4img.jpg' 转换后的图像文件名

返回值

None

使用示例

from skills.image import pencil4img
pencil4img(input_img='./photo.jpg')

原始函数

office.api.image.pencil4img

Files

What ships with it

1 file 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. yesterday First seen · 52 lines · 40 tokens per session scan A ccc3caf66a5b

Subscribe to this mod's changes

pencil4img is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 12d ago), licensed Apache-2.0. It adds 40 tokens to every session and 294 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.

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