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 xyva-yuangui/XyvaClaw --skill qwen-imagegit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote 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/xyva-yuangui/xyvaclaw/qwen-image)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/qwen-image"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/qwen-image/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/xyva-yuangui/xyvaclaw/qwen-image"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/qwen-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01374 |
| Opus 5 | $0.00018 | $0.00687 |
| Sonnet 5 | $0.00007 | $0.00275 |
| Haiku 4.5 | $0.00004 | $0.00137 |
Grade A, and why
qwen-image 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qwen Image
AI 图片生成助手。触发后必须先询问用户确认，再执行生成。
| 触发场景 | 询问确认内容 |
|---|---|
| 图片生成 | 确认画面描述、尺寸比例 (16:9/1:1/9:16)、风格 |
| 封面设计 | 确认主题文字、配色风格、用途场景 |
| 海报创作 | 确认海报内容、文字元素、目标受众 |
| 艺术创作 | 确认艺术风格、参考图片 (可选)、情绪基调 |
执行流程: 触发 → 询问用户 → 用户确认 → 执行生成 → 返回图片 URL
注意: 默认返回 URL 不下载，如需保存需用户确认
Full docs: read SKILL-REFERENCE.md
Generate high-quality images using Alibaba Cloud's Qwen Image API (通义万相).
Usage
快速开始
Generate an image (returns URL only):
# 使用默认模型（qwen-image-max）
uv run {baseDir}/scripts/generate_image.py --prompt "一副典雅庄重的对联悬挂于厅堂之中" --size "1664*928"
Generate and save locally:
# 保存为本地文件
uv run {baseDir}/scripts/generate_image.py --prompt "一副典雅庄重的对联悬挂于厅堂之中" --filename output.png
选择模型
# 千问旗舰版（适合复杂文字渲染）
uv run {baseDir}/scripts/generate_image.py --prompt "海报设计，含文字" --model qwen-image-max
# 万相性价比之王（适合快速测试）⭐ 推荐
uv run {baseDir}/scripts/generate_image.py --prompt "时尚人像摄影" --model wanx2.2-t2i-flash
# 万相专业版（适合电商主图）⭐ 推荐
uv run {baseDir}/scripts/generate_image.py --prompt "电商产品主图，白色背景" --model wanx2.1-pro
支持的模型
万相 2.6 系列（同步调用，推荐）⭐
wan2.6-t2i- 最新版，支持自定义分辨率，推荐默认使用
万相 2.5 及以下（异步调用）
wan2.5-t2i-preview- 预览版，支持自由尺寸wan2.2-t2i-flash- 性价比之王 ¥0.05/张，速度最快wan2.2-t2i-plus- 专业版，稳定性更好wanx2.1-t2i-turbo- 2.1 极速版wanx2.1-t2i-plus- 2.1 专业版
# 使用千问（适合文字渲染）
uv run {baseDir}/scripts/generate_image.py --prompt "一副典雅庄重的对联" --model qwen-image-plus-2026-01-09
# 使用万相（适合写实摄影）⭐
uv run {baseDir}/scripts/generate_image.py --prompt "时尚摄影风格的街拍人像" --model wanx2.2-t2i-flash
uv run {baseDir}/scripts/generate_image.py --prompt "电商产品主图" --model wanx2.1-pro
API Key
You can obtain the API key and run the image generation command in the following order.
- Get apiKey from
models.providers.bailian.apiKeyin~/.openclaw/openclaw.json - Or get from
skills."qwen-image".apiKeyin~/.openclaw/openclaw.json - Or get from
DASHSCOPE_API_KEYenvironment variable - Or Get your API key from: https://dashscope.console.aliyun.com/
What ships with it
5 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 · 124 lines · 37 tokens per session scan A 744df8f61d4b
qwen-image is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 1,374 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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