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.
npx skills add guanyang/super-publisher --skill gif-makergit clone --depth 1 https://github.com/guanyang/super-publisherWrote 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/guanyang/super-publisher/gif-maker)<a href="https://agentmods.dev/skills/guanyang/super-publisher/gif-maker"><img src="https://agentmods.dev/badge/skills/guanyang/super-publisher/gif-maker/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/guanyang/super-publisher/gif-maker"><img src="https://agentmods.dev/badge/skills/guanyang/super-publisher/gif-maker.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 | $0.00037 | $0.00896 |
| Opus 5 | $0.00018 | $0.00448 |
| Sonnet 5 | $0.00007 | $0.00179 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade B, and why
gif-maker scanned grade B with 1 finding 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 12d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- Ubuntu: `sudo apt-get install gifsicle` What it actually says
GIF 动画生成器 (GIF Maker)
本 Skill 旨在帮助用户快速将一组序列帧图片或单张精灵表（Sprite Sheet）转换为 GIF 动画。
核心功能
- 序列帧转 GIF：支持读取文件夹内的
png,jpg序列，按文件名排序合成 GIF。 - 精灵表转 GIF：支持读取单张 Grid 图片（如 4x4 精灵表），自动切分并合成为 GIF。
- 智能压缩：支持通过
--max-size参数指定目标文件大小（如 950KB），自动调整压缩参数以满足微信表情包等平台的体积限制。 - 参数控制：
--fps：指定每秒帧数（默认为 12）。--layout：指定精灵表布局（如4x4），仅在这个模式下需要。--loop：默认永久循环。--max-size: 指定最大体积 (KB)。
使用指南
1. 快速开始
无需手动安装依赖，直接运行脚本即可。工具会自动创建虚拟环境 (.venv) 并安装所需依赖。
# 基本用法 1：从文件夹读取序列帧
./skills/gif-maker/scripts/run.sh /path/to/frame_folder --output my_anim.gif
# 基本用法 2：从单张精灵表生成 (需要指定布局)
./skills/gif-maker/scripts/run.sh /path/to/sheet.png --layout 4x4 --output my_sheet_anim.gif
# 常用选项：
# - 指定 FPS (例如 24)
./skills/gif-maker/scripts/run.sh /path/to/folder --fps 24
# - 开启自动压缩 (限制文件大小在 950KB 以内)
./skills/gif-maker/scripts/run.sh /path/to/folder --max-size 950
2. (可选) 手动安装
如果您希望手动管理环境（注意：压缩功能依赖 gifsicle 工具，请确保系统已安装）：
- macOS:
brew install gifsicle - Ubuntu:
sudo apt-get install gifsicle
python3 -m venv skills/gif-maker/.venv
source skills/gif-maker/.venv/bin/activate
pip install -r skills/gif-maker/requirements.txt
python3 skills/gif-maker/scripts/make_gif.py ...
参数说明
source: 输入路径。可以是包含图片的文件夹，也可以是单张图片文件。--output(-o): 输出 GIF 文件名，默认为output.gif。--fps: 帧率，默认为 12。--layout: 仅当source为单文件时使用，格式为行数x列数(如4x4)。--max-size: (可选) 启用 GIF 压缩，指定目标文件最大大小 (KB)。仅当原始文件超过此大小时才会尝试压缩。
示例
假设你有一个文件夹 frames/ 包含 01.png, 02.png ... 10.png：
./skills/gif-maker/scripts/run.sh frames/ -o animation.gif --fps 15
假设你有一张 sheet.png 是 4x4 的动作序列，且需要生成符合微信表情包规范（<1MB）的 GIF：
./skills/gif-maker/scripts/run.sh sheet.png --layout 4x4 -o action.gif --max-size 950
What ships with it
4 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.
- 12d ago First seen · 77 lines · 37 tokens per session scan B 1ba82f700564
gif-maker is a skill published in the GitHub repository guanyang/super-publisher (30 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 896 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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