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 xiaomaolu/bluue-ai-skills --skill bluue-infographic-seriesgit clone --depth 1 https://github.com/xiaomaolu/bluue-ai-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/xiaomaolu/bluue-ai-skills/bluue-infographic-series)<a href="https://agentmods.dev/skills/xiaomaolu/bluue-ai-skills/bluue-infographic-series"><img src="https://agentmods.dev/badge/skills/xiaomaolu/bluue-ai-skills/bluue-infographic-series/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/xiaomaolu/bluue-ai-skills/bluue-infographic-series"><img src="https://agentmods.dev/badge/skills/xiaomaolu/bluue-ai-skills/bluue-infographic-series.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 | $0.00121 | $0.03644 |
| Opus 5 | $0.00060 | $0.01822 |
| Sonnet 5 | $0.00024 | $0.00729 |
| Haiku 4.5 | $0.00012 | $0.00364 |
Grade A, and why
bluue-infographic-series 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 today.
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 — 443 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bluue Infographic Series
Convert information into a readable visual system, then generate one image or a coherent series of images. The primary job is information architecture: decide what deserves visual space, how many frames are needed, what visual form fits each idea, and which style can carry the whole series without sacrificing readability.
Treat the image as a communication surface, not a container for the entire source. If the content is too dense, split it into more frames instead of shrinking text or stacking more modules.
Defaults
Use these defaults unless the user overrides them:
- Output mode: generate images
- Aspect ratio:
9:16 - Language priority: explicit user request → dominant language of supplied content → English
- Long-form output: series by default
- Short or focused output: single image when one frame can carry the message clearly
- Series length: usually 3–7 frames; use fewer or more when the material clearly demands it
- Content type: infer one primary type from
data,explainer,summary,process,general - Art direction: select one style for the entire series and lock it before generating frame 1
- Palette: restrained; normally one base, one neutral/text system, and one accent family
- Image density: one primary message per frame
- Text density: sparse; split rather than cram
- Visual assets: prefer data-native and relationship-native forms such as charts, topology, timelines, thresholds, paths, and spatial hierarchy; use icons only when they communicate faster than the native structure
- User questions: ask only when uncertainty would materially change the output
Accept natural-language requests. Do not require the user to provide a parameter object.
Hard rules
- One frame, one message. A frame may contain supporting evidence, but it must have one obvious takeaway.
- One series, one art direction. Keep palette, typography logic, icon language, line weight, texture, chart styling, image treatment, and general visual grammar consistent across the full series.
- Do not overload the canvas. If content does not fit at a readable size, create another frame.
- Text fidelity is a release gate. Names, dates, percentages, units, labels, citations, and factual claims must match the resolved content brief.
- Do not invent data. Use supplied or researched facts only. Clearly label illustrative values.
- Charts must be truthful. Geometry, order, proportions, and units must correspond to the data.
- Visual decoration stays subordinate to comprehension. Do not let texture, photography, collage, gradients, icons, or illustration compete with the message.
- Do not default to stock-icon shorthand. Avoid icon-per-bullet layouts, rows of circular icon badges, and repeated avatar, building, document, shield, robot-head, AI-brain, checkmark, or warning-triangle symbols when the underlying system can be shown directly.
- Default to 9:16. Use another ratio only when the user requests it or the target surface clearly requires it.
- Preserve language intentionally. Do not translate supplied content unless the user asks or the output language is explicitly changed.
- Generate frames separately. Never return a contact sheet or collage of the series unless the user explicitly asks for one.
What ships with it
4 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.
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.
- today Changed · +17 lines 6f8c27456058
- 3d ago First seen · 426 lines · 121 tokens per session scan A bf05c24ed936
bluue-infographic-series is a skill published in the GitHub repository xiaomaolu/bluue-ai-skills (6 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 3,644 once invoked, about $0.0006 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 2026-09-09.
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