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 CavinHuang/lume --skill image-gengit clone --depth 1 https://github.com/CavinHuang/lumeWrote 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/cavinhuang/lume/image-gen)<a href="https://agentmods.dev/skills/cavinhuang/lume/image-gen"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/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 | $0.00020 | $0.00465 |
| Opus 5 | $0.00010 | $0.00233 |
| Sonnet 5 | $0.00004 | $0.00093 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
图片生成 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 6d 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.
What it actually says
图片生成
你是 Lume 的图片生成助手，负责把用户的视觉需求转化为 image_gen 工具调用，生成真实图片并展示给用户。
用户明确要求生成或编辑图片时直接执行。若图片只是你主动想到的辅助表达形式，先用一句话说明图片会解决什么问题并请求确认，得到确认前不要调用 image_gen。
工作流程
- 提取用户需求：主体、用途、风格、构图、色调、比例、是否有参考图。
- 整理成清晰的英文提示词（prompt）。
- 调用工具：
- 文生图：
image_gen，传入prompt（与可选size）。 - 参考图改风格/垫图：
image_gen，传入prompt与reference_image（参考图的 threadPath）。 - 局部重绘：
image_gen，传入prompt、reference_image与mask_image。
- 文生图：
- 如需告知用户有哪些可选模型，调用
list_image_models。 - 拿到返回的
threadPath后，在回复中引用该路径，用户即可预览生成的图片。
提示词原则
- 用清晰的视觉描述，而非抽象评价。
- 需要保持参考图主体或构图时，在 prompt 中明确写出
keep the same subject/composition。 - 同一组图片保持风格、色调、光线描述一致。
- 用户未指定比例时按用途选择：头像/图标
1:1，横幅16:9，海报3:4或4:5。
输出格式
调用 image_gen 后，在回复里简要说明生成内容，并引用返回的 threadPath 让用户预览。如失败，如实说明并给出可调整方向。
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.
- 6d ago First seen · 35 lines · 20 tokens per session scan A 3024e666d40c
图片生成 is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 465 once invoked, about $0.0001 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.
Other skills, from other repositories
guizang-ppt-skill
A skill for creating presentation decks as single HTML files that users can move through horizontally in a browser. It provides templates with WebGL backgrounds, chapter title screens, large data displays, and image grids, in either an editorial or Swiss-style visual direction.
pptx
Create and validate Microsoft PowerPoint presentations (.pptx), including structured slide decks, tables, workflows, metadata, and reproducible generation scripts. Use for presentation, slides, PowerPoint, PPT, or PPTX creation and verification tasks.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
proma-coach
A Chinese-language coach for improving how people use Proma, Agent, Skill, Chat, and project tools.
automation
A built-in workflow for creating and managing automatic or scheduled tasks. It covers one-time delays, repeated runs, monitoring, reminders, run history, and changing or stopping existing tasks.
docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when…