baoyu-skills is a collection of reusable skills that give AI coding agents instructions for tasks such as preparing and publishing content. It supports agents including Claude Code, Codex, and OpenClaw, with users installing only the workflows they need. The catalogue contains selected skills from this collection.
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 JimLiu/baoyu-skills --skill baoyu-image-gengit clone --depth 1 https://github.com/JimLiu/baoyu-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/jimliu/baoyu-skills/baoyu-image-gen)<a href="https://agentmods.dev/skills/jimliu/baoyu-skills/baoyu-image-gen"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-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/jimliu/baoyu-skills/baoyu-image-gen"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-skills/baoyu-image-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- NVIDIA SkillSpector warn
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]
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 | $0.00107 | $0.04544 |
| Opus 5.5 | $0.00043 | $0.01818 |
| Sonnet 5.5 | $0.00021 | $0.00909 |
| Haiku 4.5 | $0.00011 | $0.00454 |
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 3d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- baoyu-image-gen — 100% identical, 176 lines differ
- baoyu-image-gen — 100% identical, 179 lines differ
- baoyu-image-gen — 100% identical, 180 lines differ
- baoyu-image-gen — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation (AI SDK)
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; scripts/... paths are relative to it. 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)
No image generation until EXTEND.md exists. Check 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 and apply. If
default_model.[provider]is null → ask model only. - Not found → run first-time setup (
references/config/first-time-setup.md) via AskUserQuestion to collect provider + model + quality + save location. Save EXTEND.md, then continue.
Legacy: if .baoyu-skills/baoyu-imagine/EXTEND.md exists and the new path doesn't, the runtime renames it to baoyu-image-gen. If both exist, the runtime leaves them alone and uses the new path.
EXTEND.md keys: default provider, quality, aspect ratio, image size, OpenAI image API dialect, default models, batch worker cap, provider-specific batch limits. Schema: references/config/preferences-schema.md.
What ships with it
48 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.
- references/codex-image2-fallback.md 1.6 KB
- references/codex-oauth-vs-openai-api-key.md 1.4 KB
- references/config/first-time-setup.md 8.8 KB
- references/config/preferences-schema.md 2.5 KB
- references/providers/agnes.md 1.9 KB
- references/providers/codex-cli.md 5.0 KB
- references/providers/dashscope.md 4.2 KB
- references/providers/minimax.md 1.1 KB
- references/providers/openrouter.md 707 B
- references/providers/replicate.md 1.4 KB
- references/providers/zai.md 953 B
- references/usage-examples.md 4.9 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 6.5 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 4.1 KB runs code
- scripts/providers/google.ts 11 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 6.0 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.
- 3d ago Changed · -68 lines c92cc3596880
- 1mo ago Changed 212ce2f9c4b4
- 1mo ago Changed · +4 lines · +2 tokens per session 8a9479d82c02
- 2mo ago First seen · 292 lines · 105 tokens per session scan A de09b723bdc7
baoyu-image-gen is a skill published in the GitHub repository JimLiu/baoyu-skills (27,285 stars, last pushed 2d ago), licensed MIT. It adds 107 tokens to every session and 4,544 once invoked, about $0.0004 per session on Opus 5.5. 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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cua-macos-lume-sandbox
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ssh-claude-auth
Fix Claude Code appearing logged-out over SSH on a headless macOS machine — its credentials sit in the login keychain, which stays locked in SSH/headless sessions. Offers two fixes and asks the user to choose: a keychain-free long-lived setup-token, or auto-unlocking the login keychain with a stored password (required…