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-minimal-doodlegit 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-minimal-doodle)<a href="https://agentmods.dev/skills/xiaomaolu/bluue-ai-skills/bluue-minimal-doodle"><img src="https://agentmods.dev/badge/skills/xiaomaolu/bluue-ai-skills/bluue-minimal-doodle/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-minimal-doodle"><img src="https://agentmods.dev/badge/skills/xiaomaolu/bluue-ai-skills/bluue-minimal-doodle.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 | $0.00120 | $0.02353 |
| Opus 5.5 | $0.00048 | $0.00941 |
| Sonnet 5.5 | $0.00024 | $0.00471 |
| Haiku 4.5 | $0.00012 | $0.00235 |
Grade A, and why
bluue-minimal-doodle 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 2mo 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bluue Minimal Doodle
Turn any theme into one emotionally precise minimalist doodle. Treat this as one skill with one default style and one optional internal branch, never as two separately installed skills. Resolve the style, theme, core idea, mood, action, and symbols before calling the image generator; never send unresolved template variables or automatic-selection values to the model.
Defaults
Use these defaults unless the user overrides them:
- Theme type: infer automatically
- Style variant:
rough-literary - Output mode: generate the image
- Mood: infer from the theme; do not force loneliness, coldness, or absurdity
- Symbols: choose 2; allow 1–3
- Composition: one subject near the lower center
- Background: plain white with approximately 70–80% empty space
- Palette: pure black lines on white only for
rough-literary - Text: none
- Recognizability: suggestive rather than realistic
- Aspect ratio: 1:1
- Variants: 1
Accept natural-language requests. Do not require the user to provide a parameter object.
Workflow
1. Determine the requested output
- Generate an image by default.
- Return only a production-ready prompt when the user explicitly asks for a prompt, template, or prompt optimization.
- Generate each requested variant with a separate image call; never combine variants into a contact sheet unless the user asks for one.
- Treat an attached image as a reference for identity, pose, composition, or mood unless the user explicitly asks to edit it.
- Follow the installed
imagegenskill for built-in-first tool selection, reference-image handling, output paths, and final delivery.
Ask a question only when the theme itself is missing or an ambiguous identity would materially change the image. Infer all non-critical choices.
2. Select the style variant
Use rough-literary unless the user explicitly requests bold-flat-accent or clearly asks for the combined visual language of smooth thick black outlines, large solid-black fills, a close or medium subject, and exactly one controlled accent color.
What ships with it
2 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.
- 2mo ago First seen · 220 lines · 120 tokens per session scan A 5ef115be7354
bluue-minimal-doodle is a skill published in the GitHub repository xiaomaolu/bluue-ai-skills (6 stars, last pushed 2d ago), licensed MIT. It adds 120 tokens to every session and 2,353 once invoked, about $0.0005 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 2026-08-31.
bluue-minimal-doodle compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| bluue-minimal-doodlexiaomaolu/bluue-ai-skills | Skill | 6 | 2d ago | MIT | A | 120 | Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |