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 LetheChen/openclaw-longmen-inn --skill baoyu-image-gengit clone --depth 1 https://github.com/LetheChen/openclaw-longmen-innWrote 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/lethechen/openclaw-longmen-inn/baoyu-image-gen)<a href="https://agentmods.dev/skills/lethechen/openclaw-longmen-inn/baoyu-image-gen"><img src="https://agentmods.dev/badge/skills/lethechen/openclaw-longmen-inn/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/lethechen/openclaw-longmen-inn/baoyu-image-gen"><img src="https://agentmods.dev/badge/skills/lethechen/openclaw-longmen-inn/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 | $0.00055 | $0.02123 |
| Opus 5.5 | $0.00022 | $0.00849 |
| Sonnet 5.5 | $0.00011 | $0.00425 |
| Haiku 4.5 | $0.00006 | $0.00212 |
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 1mo 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
88% identical to baoyu-image-gen — 20 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 — 197 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, Google, DashScope (阿里通义万象) and Replicate providers.
Script Directory
Agent Execution:
SKILL_DIR= this SKILL.md file's directory- Script path =
${SKILL_DIR}/scripts/main.ts
Step 0: Load Preferences ⛔ BLOCKING
CRITICAL: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
Check EXTEND.md existence (priority: project → user):
test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
| Result | Action |
|---|---|
| Found | Load, parse, apply settings. If default_model.[provider] is null → ask model only (Flow 2) |
| Not found | ⛔ Run first-time setup (references/config/first-time-setup.md) → Save EXTEND.md → Then continue |
CRITICAL: If not found, complete the full setup (provider + model + quality + save location) using AskUserQuestion BEFORE generating any images. Generation is BLOCKED until EXTEND.md is created.
| Path | Location |
|---|---|
.baoyu-skills/baoyu-image-gen/EXTEND.md |
Project directory |
$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md |
User home |
EXTEND.md Supports: Default provider | Default quality | Default aspect ratio | Default image size | Default models
Schema: references/config/preferences-schema.md
Usage
# Basic
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png
# With aspect ratio
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9
# High quality
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
# From prompt files
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
# With reference images (Google multimodal or OpenAI edits)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
# With reference images (explicit provider/model)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
# DashScope (阿里通义万象)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope
# Replicate (google/nano-banana-pro)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
# Replicate with specific model
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
What ships with it
10 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.
- _meta.json 134 B
- .clawhub/origin.json 147 B
- references/config/first-time-setup.md 5.8 KB
- references/config/preferences-schema.md 1.9 KB
- scripts/main.ts 15 KB runs code
- scripts/providers/dashscope.ts 3.6 KB runs code
- scripts/providers/google.ts 9.1 KB runs code
- scripts/providers/openai.ts 4.9 KB runs code
- scripts/providers/replicate.ts 5.8 KB runs code
- scripts/types.ts 804 B 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.
- 1mo ago First seen · 197 lines · 55 tokens per session scan A 19200d2efd1e
baoyu-image-gen is a skill published in the GitHub repository LetheChen/openclaw-longmen-inn (9 stars, last pushed 6mo ago), licensed MIT. It adds 55 tokens to every session and 2,123 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to baoyu-image-gen, differing in 20 lines, and is treated as a copy.
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