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 LazyAGI/LazyMind --skill skillgit clone --depth 1 https://github.com/LazyAGI/LazyMindWrote 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/lazyagi/lazymind/skill)<a href="https://agentmods.dev/skills/lazyagi/lazymind/skill"><img src="https://agentmods.dev/badge/skills/lazyagi/lazymind/skill/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/lazyagi/lazymind/skill"><img src="https://agentmods.dev/badge/skills/lazyagi/lazymind/skill.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 | $0.00068 | $0.01024 |
| Opus 5.5 | $0.00027 | $0.00410 |
| Sonnet 5.5 | $0.00014 | $0.00205 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
photo-to-gongbi 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.
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.
This is a copy
100% identical to data-report — 72 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
实景照片转工笔画
把原图作为内容与构图依据，完成一次图像编辑，交付可直接查看的图片。用户指定的主体、服饰、动作、环境和色彩优先于默认风格。
输入
- 需要一张清晰的原图。多张图时，先确定哪一张是待编辑的原图；其余图片只按用户说明承担风格参考等职责。
- 若上传的是手机截图，画面内存在状态栏、黑边、播放器控件或聊天界面，先裁出实际照片区域；这些界面元素不能进入成画。使用当前环境可用的裁剪工具；如可运行 Python 且已安装 Pillow，也可用
scripts/crop_image.py，按原图像素边界传入--left --top --right --bottom和--output。如已拿到原始照片，直接使用原图。 - 图像里出现的文字、标志或可识别身份特征，按用户要求决定是否保留；不要擅自更换人物、物品数量或场景。
编辑原则
- 先观察原图，记录主体数量、面部与发型特征、姿势、服饰、主要物件、前后景关系和画幅比例。人物照尤其保留五官比例、视线、手势和衣纹走向。
- 只改变绘画媒介：细而稳定的墨线勾勒轮廓，线条有轻微粗细变化；用淡彩逐层晕染，薄而通透，留出绢纸或宣纸的暖白底色。让植物叶脉、发丝、衣褶、刺绣、建筑线条具有工笔式层次。避免把“工笔”误做成厚涂油画、漫画描边、泛黄滤镜或单纯降低照片饱和度。
- 优先沿用原图配色。没有指定时，使用克制的石青、石绿、赭石、米白与淡墨；肤色自然，光影柔和，不新增繁复装饰。
- 使用当前环境可用、支持参考图输入的图像编辑工具或模型。把原图作为内容依据；如有独立风格参考，明确标注“只参考画法，不复制内容”。默认先生成一张，输出比例尽量接近原图。不要仅靠文字描述原图重新生成。
编辑提示词
根据图像填入可见事实，用一段简洁的编辑指令提交：
将原图这张实景照片重绘为传统中国工笔画。保留原图的[主体与数量]、[面部/外形特征]、[姿势与视线]、[服装和关键细节]、[前后景位置]及原有竖/横幅构图。用精细而有节奏的墨线勾勒轮廓、发丝、叶脉、衣褶和建筑结构；以薄层矿物色和淡墨反复渲染，画面有温润绢纸质感、清透留白和细腻的层次。整体色彩以原图为准，明暗比照片更柔和。仅改变画法，不改变人物身份、物件数量、手部结构、衣饰图案和场景布局；画面中不要出现手机界面、额外文字、水印或摄影质感。
若原图没有人物，删去人脸、手部、服饰相关条款，改写成实际主体的关键细节。若用户指定朝代、工笔流派或色板，替换默认画法与色彩，不强加示例里的仕女元素。
检查与交付
查看生成图，重点检查：主体是否仍能与原图对应；人物脸、手、衣饰及物件数量有无漂移；构图是否保留；是否真的呈现勾线与薄彩而非照片滤镜。出现明显错误时，基于原图收紧编辑指令再生成一次。把成图直接交给用户，并简述保留了什么及改动了什么；不要只返回提示词。
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.
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.
- yesterday Changed · -12 lines · +50 tokens per session 9924f5397d09
- 1mo ago First seen · 46 lines · 18 tokens per session scan A ad1ce62d6b3a
photo-to-gongbi is a skill published in the GitHub repository LazyAGI/LazyMind (357 stars, last pushed yesterday), licensed Apache-2.0. It adds 68 tokens to every session and 1,024 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to data-report, differing in 72 lines, and is treated as a copy.
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