img2Cartoon

An image tool that sends a picture to Baidu's AI service and converts it into a cartoon-style image. It requires an image path and may require Baidu API credentials.

In plain words
What is it for?
Use it to turn photos or other image files into cartoon-style pictures through the provided Python function.
Why use it?
It removes the need to perform the cartoon conversion manually or build the image-processing integration yourself.

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/img2cartoon
Any agent
npx skills add CoderWanFeng/python-office --skill img2cartoon
Clone the repo
git clone --depth 1 https://github.com/CoderWanFeng/python-office

Made for: Claude Code, Codex.

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 295 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 $0.00038 $0.00295
Opus 5 $0.00019 $0.00148
Sonnet 5 $0.00008 $0.00059
Haiku 4.5 $0.00004 $0.00030

Measured yesterday against content hash 05330a110ddc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

img2Cartoon 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/img2Cartoon/SKILL.md · 52 lines

What it actually says

img2Cartoon Skill

将图片转换为卡通风格

功能描述

通过调用百度 API,将指定图片转换为卡通风格的图片。需要提供百度 AI 的 client_api 和 client_secret。

所属分类

office/skills/image/img2Cartoon/

调用方式

from skills.image import img2Cartoon

img2Cartoon(
    path='./test.png',
    client_api='your_api_key',
    client_secret='your_secret'
)

参数说明

参数 类型 必填 默认值 说明
path str - 图片文件的路径
client_api str '' 客户端的 API 密钥
client_secret str '' 客户端的密钥

返回值

None

使用示例

from skills.image import img2Cartoon
img2Cartoon(path='./photo.jpg')

原始函数

office.api.image.img2Cartoon

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 · 38 tokens per session scan A 05330a110ddc

Subscribe to this mod's changes

img2Cartoon is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 12d ago), licensed Apache-2.0. It adds 38 tokens to every session and 295 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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