baoyu-imagine

baoyu-imagine is a skill for Claude Code from guanyang/open-agent-hub. It costs 103 tokens per session (4,700 once invoked), scanned A, original, MIT.

An image-generation assistant that creates pictures from text or reference images through several image-generation services. It also supports different image proportions and batch jobs from saved prompts.

In plain words
What is it for?
Use it to create images from descriptions, generate variations from reference images, choose aspect ratios, or make multiple images from prompt files.
Why use it?
It brings several image-generation providers and common generation options into one workflow.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; names the AskUserQuestion tool; mentions Codex.

Part of the open-agent-hub plugin — 103 skills, 3 commands, 5 agents, 6 MCP servers shipped together

Good fit Use it to create images from descriptions, generate variations from reference images, choose aspect ratios, or make multiple images from prompt files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/guanyang/open-agent-hub/baoyu-imagine
Install

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.

Any agent
npx skills add guanyang/open-agent-hub --skill baoyu-imagine
Clone the repo
git clone --depth 1 https://github.com/guanyang/open-agent-hub

Made for: Claude Code.

Or install open-agent-hub, the plugin that ships this one along with the rest of its 103 skills, 3 commands, 5 agents, 6 MCP servers.

Wrote 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.

agentmods badge for baoyu-imagine

README.md
[![agentmods](https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-imagine/github.svg)](https://agentmods.dev/skills/guanyang/open-agent-hub/baoyu-imagine)
Your own site
<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/baoyu-imagine"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-imagine/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.

agentmods 80×15 button for baoyu-imagine

Your own site · 80×15
<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/baoyu-imagine"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-imagine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,700 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Excessive Agency · line 82
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium MCP Rug Pull · line 30
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.04700
Opus 5 $0.00051 $0.02350
Sonnet 5 $0.00021 $0.00940
Haiku 4.5 $0.00010 $0.00470

Measured 12d ago against content hash 335cef672ab1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

baoyu-imagine 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.

The scan reads SKILL.md. This mod also ships 25 executable files (scripts/build-batch.test.ts, scripts/build-batch.ts, scripts/main.test.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/baoyu-imagine/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 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) and Replicate.

User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

  1. Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
  2. 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.
  3. 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. Main script: {baseDir}/scripts/main.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-imagine/EXTEND.md Project
${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-imagine/EXTEND.md XDG
$HOME/.baoyu-skills/baoyu-imagine/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.

Legacy compatibility: if .baoyu-skills/baoyu-image-gen/EXTEND.md exists and the new path doesn't, the runtime renames it to baoyu-imagine. If both exist, the runtime leaves them alone and uses the new path.

Read the full file on GitHub · 276 lines

Files

What ships with it

35 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.

Changes

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.

  1. 12d ago First seen · 276 lines · 103 tokens per session scan A 335cef672ab1

Subscribe to this mod's changes

baoyu-imagine is a skill published in the GitHub repository guanyang/open-agent-hub (967 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 4,700 once invoked, about $0.0005 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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