image2gif

An image tool intended to convert a group of images into an animated GIF, a file that displays images in sequence. The provided description does not specify any parameters.

In plain words
What is it for?
Use it for image-to-GIF or animated-image tasks through the provided Python function. The input and output details are not described further.
Why use it?
It provides a named operation for creating a GIF without requiring callers to handle the image-format conversion themselves.

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/image2gif
Any agent
npx skills add CoderWanFeng/python-office --skill image2gif
Clone the repo
git clone --depth 1 https://github.com/CoderWanFeng/python-office

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 165 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 $0.00032 $0.00165
Opus 5 $0.00016 $0.00082
Sonnet 5 $0.00006 $0.00033
Haiku 4.5 $0.00003 $0.00016

Measured 2d ago against content hash 03934ae7fee0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

image2gif 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 2d ago.

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/image2gif/SKILL.md · 44 lines

What it actually says

image2gif Skill

将图像转换为 GIF 格式

功能描述

将图像转换为 GIF 格式文件,负责处理图像数据并保存为 GIF。

所属分类

office/skills/image/image2gif/

调用方式

from skills.image import image2gif

image2gif()

参数说明

无参数。

返回值

None

使用示例

from skills.image import image2gif
image2gif()

原始函数

office.api.image.image2gif

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. 2d ago First seen · 44 lines · 32 tokens per session scan A 03934ae7fee0

Subscribe to this mod's changes

image2gif is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 13d ago), licensed Apache-2.0. It adds 32 tokens to every session and 165 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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