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 szsip239/teamclaw --skill baoyu-xhs-imagesgit clone --depth 1 https://github.com/szsip239/teamclawWrote 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/szsip239/teamclaw/baoyu-xhs-images)<a href="https://agentmods.dev/skills/szsip239/teamclaw/baoyu-xhs-images"><img src="https://agentmods.dev/badge/skills/szsip239/teamclaw/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/szsip239/teamclaw/baoyu-xhs-images"><img src="https://agentmods.dev/badge/skills/szsip239/teamclaw/baoyu-xhs-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00084 | $0.04873 |
| Opus 5 | $0.00042 | $0.02436 |
| Sonnet 5 | $0.00017 | $0.00975 |
| Haiku 4.5 | $0.00008 | $0.00487 |
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 12d 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
2 near-identical copies found in the catalogue:
- baoyu-xhs-images — 100% identical, 0 lines differ
- baoyu-xhs-images — 92% identical, 28 lines differ
How it starts
The opening of the file, as written. The whole thing — 495 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Xiaohongshu Infographic Series Generator
Break down complex content into eye-catching infographic series for Xiaohongshu with multiple style options.
Usage
# Auto-select style and layout based on content
/baoyu-xhs-images posts/ai-future/article.md
# Specify style
/baoyu-xhs-images posts/ai-future/article.md --style notion
# Specify layout
/baoyu-xhs-images posts/ai-future/article.md --layout dense
# Combine style and layout
/baoyu-xhs-images posts/ai-future/article.md --style notion --layout list
# Direct content input
/baoyu-xhs-images
[paste content]
# Direct input with options
/baoyu-xhs-images --style bold --layout comparison
[paste content]
Options
| Option | Description |
|---|---|
--style <name> |
Visual style (see Style Gallery) |
--layout <name> |
Information layout (see Layout Gallery) |
Two Dimensions
| Dimension | Controls | Options |
|---|---|---|
| Style | Visual aesthetics: colors, lines, decorations | cute, fresh, warm, bold, minimal, retro, pop, notion, chalkboard, study-notes |
| Layout | Information structure: density, arrangement | sparse, balanced, dense, list, comparison, flow, mindmap, quadrant |
Style × Layout can be freely combined. Example: --style notion --layout dense creates an intellectual-looking knowledge card with high information density.
Style Gallery
| Style | Description |
|---|---|
cute (Default) |
Sweet, adorable, girly - classic Xiaohongshu aesthetic |
fresh |
Clean, refreshing, natural |
warm |
Cozy, friendly, approachable |
bold |
High impact, attention-grabbing |
minimal |
Ultra-clean, sophisticated |
retro |
Vintage, nostalgic, trendy |
pop |
Vibrant, energetic, eye-catching |
notion |
Minimalist hand-drawn line art, intellectual |
chalkboard |
Colorful chalk on black board, educational |
study-notes |
Realistic handwritten photo style, blue pen + red annotations + yellow highlighter |
What ships with it
20 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/config/first-time-setup.md 2.9 KB
- references/config/preferences-schema.md 3.0 KB
- references/config/watermark-guide.md 1.9 KB
- references/elements/canvas.md 3.6 KB
- references/elements/decorations.md 4.7 KB
- references/elements/image-effects.md 2.9 KB
- references/elements/typography.md 3.2 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/study-notes.md 2.9 KB
- references/presets/warm.md 1.4 KB
- references/workflows/analysis-framework.md 7.1 KB
- references/workflows/outline-template.md 6.0 KB
- references/workflows/prompt-assembly.md 6.7 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.
- 12d ago First seen · 495 lines · 84 tokens per session scan A 2b4d18619fa6
baoyu-xhs-images is a skill published in the GitHub repository szsip239/teamclaw (112 stars, last pushed 26d ago), licensed MIT. It adds 84 tokens to every session and 4,873 once invoked, about $0.0004 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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