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 redfox-data/redfox-community-dsh --skill image-gengit clone --depth 1 https://github.com/redfox-data/redfox-community-dshWrote 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/redfox-data/redfox-community-dsh/image-gen)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/image-gen"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/image-gen.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.01816 |
| Opus 5 | $0.00016 | $0.00908 |
| Sonnet 5 | $0.00006 | $0.00363 |
| Haiku 4.5 | $0.00003 | $0.00182 |
Grade A, and why
image-gen scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- instagram-video-downloader — 86% identical, 171 lines differ
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GPT-image2
调用 OpenAI 最新的 gpt-image-2 模型生成高质量图片。粘贴提示词就能用。
Skill 特色
- 支持命令行批量生成、参数化控制尺寸/格式/背景
- 文生图 + 图生图双模式，
--image一个参数启用编辑模式
能力概述
- 文生图：输入提示词，生成全新图片
- 图生图：上传参考图 + 提示词，基于原图编辑生成
- 模型：gpt-image-2（OpenAI 最新图像模型）
- 输出格式：PNG、JPEG、WebP
- 尺寸支持：仅支持测试验证过的分辨率（自定义分辨率可能导致生成过慢或失败）
- 快速档：1024x1024（1:1）、1024x1536（2:3 竖版）、1536x1024（3:2 横版）、1792x1024（16:9 横版）、1024x1792（9:16 竖版，默认）
- 高清档（画质更高，生成更慢）：2048x2048、2048x1152、1152x2048
- 批量生成：单次最多 10 张
- 透明背景：支持 PNG/WebP 透明背景输出
- 保真控制：图生图支持 high/low 保真度
使用方式
文生图 — 输入文字生成图片
# 基本生成
python3 "$SKILL_PATH/assets/imagegen.py" "一只橘色的猫咪坐在窗台上看着窗外的夕阳"
# 横版高清
python3 "$SKILL_PATH/assets/imagegen.py" "futuristic city skyline" --size 1792x1024
# 透明背景 logo
python3 "$SKILL_PATH/assets/imagegen.py" "minimalist cat logo, flat design" --bg transparent --format png
# 批量生成 4 张
python3 "$SKILL_PATH/assets/imagegen.py" "icon set, flat style" -n 4 --bg transparent
# WebP + 压缩
python3 "$SKILL_PATH/assets/imagegen.py" "product photo on white background" --format webp --compression 50
图生图 — 上传参考图编辑生成
# 基于参考图修改（自动上传图片 → 编辑生成）
python3 "$SKILL_PATH/assets/imagegen.py" "把猫咪改成白色，背景换成星空" --image ~/Pictures/cat.png
# 风格迁移，高保真
python3 "$SKILL_PATH/assets/imagegen.py" "改成赛博朋克风格" --image ref.jpg --fidelity high
# 低保真，大幅改动
python3 "$SKILL_PATH/assets/imagegen.py" "变成水彩画风格，加入樱花元素" --image photo.png --fidelity low
其他操作
# 仅提交任务（返回 taskId，不等待）
python3 "$SKILL_PATH/assets/imagegen.py" "complex scene" --no-download
# 查询已有任务结果
python3 "$SKILL_PATH/assets/imagegen.py" "" --task-id sfwmpic7xxxxxxxx
# 指定输出目录和文件名前缀
python3 "$SKILL_PATH/assets/imagegen.py" "illustration" -o ~/Pictures/AI --prefix artwork
参数说明
| 参数 | 说明 | 默认值 |
|---|---|---|
prompt |
生成/编辑提示词（必填，最多 500 字） | - |
--image |
参考图路径（启用图生图模式） | - |
--fidelity |
图生图保真度：high / low |
- |
--size |
尺寸（仅支持白名单分辨率） | 1024x1792 |
-n, --count |
生成数量（1-10） | 1 |
--quality |
质量：low / medium / high / auto |
medium |
--format |
格式：png / jpeg / webp |
png |
--bg |
背景：transparent / opaque / auto |
auto |
--compression |
压缩比（0-100） | 0 |
-o, --output-dir |
输出目录 | ~/Downloads/QoderImages |
--prefix |
文件名前缀 | image |
--no-download |
仅提交不等待 | - |
--task-id |
查询已有任务 | - |
--api-key |
指定 API Key | - |
What ships with it
3 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.
- 8d ago First seen · 161 lines · 32 tokens per session scan A 5511c1c51fe1
image-gen is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,816 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 2026-08-31.
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