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-xhs-imagesgit 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-xhs-images)<a href="https://agentmods.dev/skills/jimliu/baoyu-skills/baoyu-xhs-images"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-skills/baoyu-xhs-images/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-xhs-images"><img src="https://agentmods.dev/badge/skills/jimliu/baoyu-skills/baoyu-xhs-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Excessive Agency · line 72 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 89 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00100 | $0.07316 |
| Opus 5 | $0.00050 | $0.03658 |
| Sonnet 5 | $0.00020 | $0.01463 |
| Haiku 4.5 | $0.00010 | $0.00732 |
Grade A, and why
baoyu-xhs-images 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 13d 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-xhs-images — 100% identical, 0 lines differ
- baoyu-xhs-images — 100% identical, 0 lines differ
- baoyu-xhs-images — 100% identical, 0 lines differ
- baoyu-image-cards — 88% identical, 32 lines differ
How it starts
The opening of the file, as written. The whole thing — 485 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Card Series Generator
Break down complex content into eye-catching image card series with multiple style options.
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.
Image Generation Tools
When this skill needs to render an image, resolve the backend in this order:
- Current-request override — if the user names a specific backend in the current message, use it.
- Saved preference — if
EXTEND.mdsetspreferred_image_backendto a backend available right now, use it. - Auto-select (when the preference is
auto, unset, or the pinned backend isn't available):- Codex (
imagegen) — first, inspect your available-skills / tool inventory. If a skill namedimagegenis listed, you are running inside Codex and MUST use it: invoke via theSkilltool withskill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codeximagegen's own args). Codeximagegenis the official raster backend in that runtime and outranks any non-native skill (e.g.,baoyu-image-gen) unless the user has explicitly pinned a differentpreferred_image_backend. - Codex via
codex exec(codex-imagegen) — if the current runtime exposes no nativeimagegenskill but thecodexCLI is onPATHwith an activecodex login, route throughbaoyu-image-gen --provider codex-cli(preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in references/codex-imagegen.md — load that file only when this branch is selected. - Cursor (
GenerateImage) — if the runtime exposes a nativeGenerateImagetool, you are running inside Cursor and it outranks any non-native skill the same way Codeximagegendoes. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed asdescription; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g.,outputs/.../NN-xxx.png). Reference images go inreference_image_paths. - Other runtime-native tools — if the runtime exposes a different native image tool (e.g., Hermes
image_generate), use it the same way. - Otherwise, if exactly one non-native backend is installed (e.g.,
baoyu-image-gen), use it. - Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
- Codex (
- If none are available, tell the user and ask how to proceed.
What ships with it
28 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-imagegen.md 3.6 KB
- references/config/first-time-setup.md 3.4 KB
- references/config/preferences-schema.md 3.9 KB
- references/config/watermark-guide.md 1.9 KB
- references/confirmation.md 3.8 KB
- references/elements/canvas.md 3.6 KB
- references/elements/decorations.md 4.9 KB
- references/elements/image-effects.md 2.9 KB
- references/elements/typography.md 3.2 KB
- references/palettes/macaron.md 1.4 KB
- references/palettes/neon.md 1.2 KB
- references/palettes/warm.md 1.2 KB
- references/presets/bold.md 1.5 KB
- references/presets/chalkboard.md 2.3 KB
- references/presets/cute.md 1.5 KB
- references/presets/fresh.md 1.5 KB
- references/presets/minimal.md 1.4 KB
- references/presets/notion.md 1.6 KB
- references/presets/pop.md 1.5 KB
- references/presets/retro.md 1.4 KB
- references/presets/screen-print.md 2.6 KB
- references/presets/sketch-notes.md 3.1 KB
- references/presets/study-notes.md 2.9 KB
- references/presets/warm.md 1.4 KB
- references/style-presets.md 1.9 KB
- references/workflows/analysis-framework.md 7.1 KB
- references/workflows/outline-template.md 6.0 KB
- references/workflows/prompt-assembly.md 10 KB
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.
- 13d ago First seen · 485 lines · 100 tokens per session scan A 17bf5498641c
baoyu-xhs-images is a skill published in the GitHub repository JimLiu/baoyu-skills (25,839 stars, last pushed 2d ago), licensed MIT. It adds 100 tokens to every session and 7,316 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.
Other skills, from other repositories
sync-claude-accounts
Distribute full OAuth Claude Code credentials (claude-accounts.json) from a single designated refresh-authority Mac to the rest of a fleet, and operate the scheduled automation that does it — the com.claude.fleet-refresh and com.claude.fleet-health LaunchAgents, their logs, and the proactive refresh that keeps…
swe-workflow
Orchestrates the full five-stage flow from raw idea to shipped PR — grill-with-docs → to-prd → to-issues → triage → worktree+planning-with-files. Each stage answers one question (What do I want? / What does done look like? / What are the units of work? / What's actionable? / Build it). Use when the user has an idea…
affix-domains
Attach popular brand prefixes/suffixes to a seed word and check availability against the authoritative registry. Starts at .com; if the seed word's own .com is taken, escalates the whole sweep to .com/.net/.org/.ai/.io/.co/.app/.cc. Use when the user names a word and asks for prefix/suffix domain variants, or wants…
llm-inference-benchmark
Benchmark OpenAI-compatible LLM inference servers (vLLM, SGLang, or anything serving /v1/completions; local, cross-host via TARGETHOST= , or behind a TLS+Bearer proxy via --base-url + OPENAIAPIKEY) with sglang.benchserving run as a standalone dockerized client — one engine-agnostic script (scripts/benchsweep.sh)…
cua-macos-lume-sandbox
Provision a macOS VM as a cua computer-use sandbox with lume on Apple Silicon — pull or APFS-clone an image, size it, ensure autologin, install cua-driver plus a LaunchAgent, grant TCC unattended when SIP is off, set the guest resolution, and verify with a real screen capture. Use when asked to set up, rebuild, or…
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…