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 leecyno1/boutique-skills --skill baoyu-image-gengit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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/leecyno1/boutique-skills/baoyu-image-gen)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/baoyu-image-gen"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/baoyu-image-gen/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/leecyno1/boutique-skills/baoyu-image-gen"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/baoyu-image-gen.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 | $0.00105 | $0.05332 |
| Opus 5 | $0.00053 | $0.02666 |
| Sonnet 5 | $0.00021 | $0.01066 |
| Haiku 4.5 | $0.00011 | $0.00533 |
Grade A, and why
baoyu-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 9d 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.
This is a copy
100% identical to baoyu-image-gen — 30 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.
How it starts
The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation (AI SDK)
Official API-based image generation. Supports OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Z.AI GLM-Image, MiniMax, Jimeng (即梦), Seedream (豆包), Replicate and Agnes.
User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
- Prefer built-in user-input tools exposed by the current agent runtime — e.g.,
AskUserQuestion,request_user_input,clarify,ask_user, or any equivalent. - Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
- Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.
Script Directory
{baseDir} = this SKILL.md's directory. All scripts/... paths below are relative to {baseDir}. Main script: {baseDir}/scripts/main.ts. Batch payload helper: {baseDir}/scripts/build-batch.ts. Resolve ${BUN_X}: prefer bun; else npx -y bun; else suggest brew install oven-sh/bun/bun.
Step 0: Load Preferences ⛔ BLOCKING
This step MUST complete before any image generation — generation is blocked until EXTEND.md exists.
Check these paths in order; first hit wins:
| Path | Scope |
|---|---|
.baoyu-skills/baoyu-image-gen/EXTEND.md |
Project |
${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-image-gen/EXTEND.md |
XDG |
$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md |
User home |
- Found → load, parse, apply. If
default_model.[provider]is null → ask model only. - Not found → run first-time setup (
references/config/first-time-setup.md) using AskUserQuestion to collect provider + model + quality + save location. Save EXTEND.md, then continue. Do not generate images before this completes.
What ships with it
49 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.
- GUIDE.md 940 B
- references/codex-image2-fallback.md 1.9 KB
- references/codex-oauth-vs-openai-api-key.md 2.1 KB
- references/config/first-time-setup.md 13 KB
- references/config/preferences-schema.md 4.8 KB
- references/providers/agnes.md 2.2 KB
- references/providers/codex-cli.md 5.9 KB
- references/providers/dashscope.md 4.5 KB
- references/providers/minimax.md 1.2 KB
- references/providers/openrouter.md 760 B
- references/providers/replicate.md 1.8 KB
- references/providers/zai.md 1.1 KB
- references/usage-examples.md 6.0 KB
- scripts/build-batch.test.ts 4.5 KB runs code
- scripts/build-batch.ts 7.4 KB runs code
- scripts/codex-imagegen/cache.ts 2.2 KB runs code
- scripts/codex-imagegen/logger.ts 1.3 KB runs code
- scripts/codex-imagegen/main.ts 12 KB runs code
- scripts/codex-imagegen/parser.ts 2.0 KB runs code
- scripts/codex-imagegen/spawn.ts 2.4 KB runs code
- scripts/codex-imagegen/types.ts 1.6 KB runs code
- scripts/codex-imagegen/validator.ts 2.3 KB runs code
- scripts/main.test.ts 18 KB runs code
- scripts/main.ts 45 KB runs code
- scripts/providers/agnes.test.ts 6.7 KB runs code
- scripts/providers/agnes.ts 4.9 KB runs code
- scripts/providers/azure.test.ts 5.3 KB runs code
- scripts/providers/azure.ts 5.7 KB runs code
- scripts/providers/codex-cli.test.ts 1.6 KB runs code
- scripts/providers/codex-cli.ts 5.8 KB runs code
- scripts/providers/dashscope.test.ts 11 KB runs code
- scripts/providers/dashscope.ts 18 KB runs code
- scripts/providers/google.test.ts 3.5 KB runs code
- scripts/providers/google.ts 9.8 KB runs code
- scripts/providers/jimeng.test.ts 2.7 KB runs code
- scripts/providers/jimeng.ts 13 KB runs code
- scripts/providers/minimax.test.ts 5.1 KB runs code
- scripts/providers/minimax.ts 6.2 KB runs code
- scripts/providers/openai.test.ts 5.4 KB runs code
- scripts/providers/openai.ts 12 KB runs code
- scripts/providers/openrouter.test.ts 5.3 KB runs code
- scripts/providers/openrouter.ts 9.7 KB runs code
- scripts/providers/replicate.test.ts 7.0 KB runs code
- scripts/providers/replicate.ts 17 KB runs code
- scripts/providers/seedream.test.ts 6.4 KB runs code
- scripts/providers/seedream.ts 9.6 KB runs code
- scripts/providers/zai.test.ts 5.2 KB runs code
- scripts/providers/zai.ts 8.7 KB runs code
- scripts/types.ts 2.3 KB runs code
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.
- 9d ago First seen · 292 lines · 105 tokens per session scan A de09b723bdc7
baoyu-image-gen is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 105 tokens to every session and 5,332 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to baoyu-image-gen, differing in 30 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…