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 serejaris/kimi-skills --skill baoyu-infographicgit clone --depth 1 https://github.com/serejaris/kimi-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/serejaris/kimi-skills/baoyu-infographic)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/baoyu-infographic"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/baoyu-infographic/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/serejaris/kimi-skills/baoyu-infographic"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/baoyu-infographic.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 | $0.00083 | $0.03360 |
| Opus 5 | $0.00042 | $0.01680 |
| Sonnet 5 | $0.00017 | $0.00672 |
| Haiku 4.5 | $0.00008 | $0.00336 |
Grade A, and why
baoyu-infographic 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.
How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infographic Generator
Two dimensions: layout (information structure) × style (visual aesthetics). Freely combine any layout with any style.
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:
- Use whatever image-generation tool or skill is available in the current runtime — e.g., Codex
imagegen, Hermesimage_generate,baoyu-imagine, or any equivalent the user has installed. - If multiple are available, ask the user once at the start which to use (batch with any other initial questions).
- If none are available, tell the user and ask how to proceed.
Prompt file requirement (hard): write each image's full, final prompt to a standalone file under prompts/ (naming: NN-{type}-[slug].md) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.
Concrete tool names (imagegen, image_generate, baoyu-imagine) above are examples — substitute the local equivalents under the same rule.
Reference Images
Users may supply reference images to guide style, palette, composition, or subject.
Intake: Accept via --ref <files...> or when the user provides file paths / pastes images in conversation.
- File path(s) → copy to
refs/NN-ref-{slug}.{ext}alongside the output - Pasted image with no path → ask the user for the path (per the User Input Tools rule above), or extract style traits verbally as a text fallback
- No reference → skip this section
What ships with it
47 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/analysis-framework.md 7.3 KB
- references/base-prompt.md 1.1 KB
- references/config/first-time-setup.md 4.0 KB
- references/config/preferences-schema.md 3.4 KB
- references/layouts/bento-grid.md 851 B
- references/layouts/binary-comparison.md 1.2 KB
- references/layouts/bridge.md 907 B
- references/layouts/circular-flow.md 759 B
- references/layouts/comic-strip.md 847 B
- references/layouts/comparison-matrix.md 893 B
- references/layouts/dashboard.md 776 B
- references/layouts/dense-modules.md 3.6 KB
- references/layouts/funnel.md 821 B
- references/layouts/hierarchical-layers.md 1.2 KB
- references/layouts/hub-spoke.md 865 B
- references/layouts/iceberg.md 884 B
- references/layouts/isometric-map.md 833 B
- references/layouts/jigsaw.md 844 B
- references/layouts/linear-progression.md 1.2 KB
- references/layouts/periodic-table.md 774 B
- references/layouts/story-mountain.md 815 B
- references/layouts/structural-breakdown.md 1.1 KB
- references/layouts/tree-branching.md 913 B
- references/layouts/venn-diagram.md 825 B
- references/layouts/winding-roadmap.md 799 B
- references/structured-content-template.md 5.4 KB
- references/styles/aged-academia.md 990 B
- references/styles/bold-graphic.md 920 B
- references/styles/chalkboard.md 2.2 KB
- references/styles/claymation.md 654 B
- references/styles/corporate-memphis.md 612 B
- references/styles/craft-handmade.md 1.4 KB
- references/styles/cyberpunk-neon.md 625 B
- references/styles/hand-drawn-edu.md 2.6 KB
- references/styles/ikea-manual.md 572 B
- references/styles/kawaii.md 653 B
- references/styles/knolling.md 584 B
- references/styles/lego-brick.md 574 B
- references/styles/morandi-journal.md 2.2 KB
- references/styles/origami.md 607 B
- references/styles/pixel-art.md 562 B
- references/styles/pop-laboratory.md 2.1 KB
- references/styles/retro-pop-grid.md 2.1 KB
- references/styles/storybook-watercolor.md 703 B
- references/styles/subway-map.md 591 B
- references/styles/technical-schematic.md 983 B
- references/styles/ui-wireframe.md 596 B
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 · 289 lines · 83 tokens per session scan A 96d141376ce9
baoyu-infographic is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 3,360 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 2026-08-31.
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